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J. J. College of Engineering & Technology (Approved by AICTE, New Delhi & Affiliated to Anna University, Chennai,
NBA Accredited and ISO 9001-2008 Certified)
Ammapettai, Tiruchirappalli - 620009
Department of Management Studies
BA9228 - BUSINESS APPLICATION SOFTWARE
Laboratory Record
MAY 2012
NAME:
REG. NO:
CLASS:
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J. J. College of Engineering & Technology (Approved by AICTE, New Delhi & Affiliated to Anna University, Chennai,
NBA Accredited and ISO 9001-2008 Certified)
Ammapettai, Tiruchirappalli- 620 009
Department of Management Studies
Bonafide certificate
Certified that this is a bonafide record of practical work titled BA9228 BusinessApplication Software done by . (Register
Number) . ...................................in the department laboratory during the academic year
.
Staff-In charge Director-DoMS
Submitted for the University Practical Examination he ld on .
INTERNAL EXAMINAR EXTERNAL EXAMINAR
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ContentsS. No Date Experiment Page No. Signature
1. Preparation of Resume using MS-Word
2.Preparation of Covering Letter Using
MS-Word
3. Preparation of Company Advertisementusing MS-Power Point
4.Preparation of Mark sheet using MS-
Excel
5.Preparation of Employee Pay Roll Using
MS-Excel6. Creation of Web Page using HTML7. Graphical Method (LPP) using TORA8. Simplex Method (LPP) using TORA9. Big-M Method (LPP) using TORA10.
Dual Simplex Method (LPP) usingTORA
11. Two Phase Method using TORA
12.Critical Path Method (CPM) in Project
planning using TORA
13.Program Evaluation and Review
Technique (PERT) in Project planningUsing TORA
14. Transportation Problem using TORA
15.SQL- Creation of Table using DDL and
DML commands16. One Sample T Test using SPSS17. Paired Sample T Test using SPSS
18.Independent Sample T Test using
SPSS19. Chi-square Analysis using SPSS20. Correlation Analysis using SPSS21. One way ANOVA using SPSS
22.Creation of Balance Sheet using
TALLY
23.Preparation of Balance Sheet using
TALLY
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Expt. No: 1
Date:
PREPARATION OF RESUME
AIM:
To prepare a resume using MS-Word.
PROCEDURE:
To go to MS-word click the MS-Word icon in the Desktop.
Click New from the file menu to create a new document
Bio data can be typed with the help of the key board
Type the various details like Name, Address, Qualification, Hobby, etc.
FEATURES:
The fonts of the words can be changed through the FONT option in the Home
Menu.
BULLETS & NUMBERING can be used to type the details in an order.
The paragraph can be aligned through ALIGNMENT option in the Tool bar.
The spelling can be checked through SPELLING & GRAMMAR option in the
Review menu.
With the help of HEADER & FOOTER option in the Insert menu the page
numbers can be set.
The words can be given underlined or made bold with UNDERLINE & BOLD
option in the Tool bar.
The picture can be inserted with the help of PICTURE option in the Insert Menu.
Table can be inserted with the help of TABLE option in the Insert Menu.
Page borders can be inserted by BORDERS & SHADING option in the Page
Layout Menu.
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RESULT:
Thus the resume has been created successfully in the MS Word.
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Expt. No: 2
Date:
PREPARATION OF COVERING LETTER
AIM:
To prepare a covering letter for resume using MS-Word.
PROCEDURE:
To go to MS-word click the MS-Word icon in the Desktop.
Click New from the file menu to create a new document
Covering letter can be typed with the help of the key board
Type the various details like Name, Address, body of the letter, etc.
FEATURES:
The fonts of the words can be changed through the FONT option in the Home
Menu.
The paragraph can be aligned through ALIGNMENT option in the Tool bar.
The spelling can be checked through SPELLING & GRAMMAR option in the
Review menu.
The words can be given underlined or made bold with UNDERLINE & BOLD
option in the Tool bar.
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Covering Letter
February 09, 2012.
To
Mr. Arun Kumar SRamco TechnologiesSpencer RoadCheenai - 600008
28/18, Mariyappa Mudaliar streetChina Kadai Veethi
Tiruchirappalli - 620002
Sub: Application for the position of Project Analyst in Software Development
Dear Mr. Arun Kumar S,
With respect to your advertisement for the vacancy, posted on The Hindu on February 09, 2012, I amwriting this letter to put forth my application for the post of Project Analyst in your prestigiousorganization.
Pursuing my MBA degree in System Management, I have acquired extensive computer knowledge,technical skills and managerial skills essential for one to compete in project management. I have
scored 77% in my academics, till 3rd
Semester.
I request you to go through my resume in order to find out more about my academic history as wellas get a fair idea about my career goals and interests.
Please find my contact details in my resume attached herewith. You may contact me anytime duringthe day in order to discuss my career interests thoroughly or to schedule an interview. Thank youvery much for your consideration.
Yours Truly,
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RESULT:
Thus the covering letter has been created successfully in the MS Word.
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Expt. No: 3
Date:
PREPARATION OF COMPANY ADVERTISEMENT
AIM:
To prepare the Company advertisement using MS - Power Point.
PROCEDURE:
Click new option from the Office Button to create a new document.
Click the Design menu and from it click Apply Design Template.
In the Design Templates we can type the details of the company
The slides can be inserted through the New Slide option from the Insert Menu.
The clip art can also be inserted through the picture option in the Insert Menu.
The Custom Animation can be done with the option Custom Animation in the
Animation Menu.
Thus the Company Advertisement is created.
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Mission
Our Roadmap starts with our mission, wh1ch is en du ring. I t declares our purpose as a company and serves as the standard aga ir.st which
weweigh our actions and dl!' cision s.
To refrE"sh the wor ld... To inspire moments o f optim ism and happmess ..
To create va lue and make a diffpren ce.
Product s Cool and wa,e -Energiztr U>mono fresh - Cool l1non Drink Orange day -Colors.
4/4/20 12
Vision
Our v ision serves as the fra mework for our Road ma p and guides every aspect of our business by describing what we
need to accomplish in order to continu e achiev ing sustainable, quality growth .
Fact Shee t II began as the -earens- at 1990. Jn1995 th e name changed as CAFE XS BEVER .\.CES. Initially Started at t;SA, W ith 250 employees. !r. 8 .Surtndhar \qts the first CE-nera l l\lanttger . lr. P. Sure sh was the first chair man followed by Sikkan. l\la int3ined a phenomenal growth o\er the ye
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4/4/ 20 12
Cos t-Leadership Strate gy
Advertising and innovativ e promotio n.
Opti mal outso u rcin g for production und verti ca l int egration.
Improvingproduction efficiencies through Kaize n.
Global Locations
A t G LOBA LMa rket At now there are more than 2:0 nations our produ ct is
n ow served . More than 50000 employees get benefited through out
the world
Growt h
5 4-5
4 3-5
3 2.5
1.5
o.s' 0
1995 2005
Cool&WaY Lemon'ofm h Orange
Contact Details Ca fens
9951At 1antic Sivd ,450 1ck50nviUeFL.3222S. Toll t ' :8ii.s -
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RESULT:
Thus the company advertisement presentation has been created successfully in the
MS Power point.
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PREPARATION OF MARK SHEET
Expt. No: 4
Date:
AIM:
To prepare a Mark List for a Class.
PROCEDURE:
To open MS-Excel window click MS-Excel from the Programs
Click new document from the Office button to create a new spreadsheet.
Type the mark sheet in the columns and rows
The mark sheet may have the details like Name, S.no, Subject, marks obtained in
various subjects
The total marks can be averaged through the formula bar.
Find the Result using the Marks
If Mark1,Mark2,Mark3>=50 thenResult is Pass
Else Result is Fail The details of the student name can be sorted through the sort option in the Home
menu
The graphical representation can be done for the mark through the chart option
from the Insert menu
FEATURES:
Auto sum can be done through the auto sum option
The average can be find through the formula bar option
The chart can be drawn through the option Chart option from the Insert menu
The sorting can be done through the sort option from the Home menu
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RESULT:
Thus the mark list has been created successfully in the MS Excel.
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Expt. No: 5
Date:
PREPARATION OF PAYROLL STATEMENT
AIM:
To prepare a Payroll Statement using MS-Excel.
PROCEDURE:
To open MS-Excel, click MS-Excel from the Programs.
Click new document from the Office button to create a new spread sheet.
Type the Payroll statement in the columns and rows.
The Payroll statement may have the details like E.no, Employee name, basic pay,
HRA, TA, DA, LIC, and PF etc.
Find the HRA, TA, and DA of each employee using the field Basic pay.
HRA = Basic pay of 20/100
TA = Basic pay of 15/100
DA = Basic pay of 10/100
The Gross Pay can be calculated by using Basic Pay, HRA, TA, and DA
Gross Pay = HRA+TA+DA
The details of the Employee name can be sorted through the sort option in the
Home menu.
The graphical representation can be done for the mark through the chart option
from the Insert menu.
FEATURES:
Auto sum can be done through the auto sum option
The average can be find through the formula bar option
The chart can be drawn through the option Chart option from the Insert
menu
The sorting can be done through the sort option from the Home menu
For E.no continuous numbering can be done through selecting the dragging
the first two numbers to other column.
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S. No E m plo ye Narnc Bas i c Pa y H RA TA DA G r os s Pa y LI C PF er Deduct Ne t P ay I R a m cs h 10000 2000 1 500 I000 14 500 1 500 1 25 0 2750 I 1750
2 R a m ya S cc 10000 2000 1 500 1 000 14 500 1 500 1 25 0 275 0 I I750 3 R a njith Kum a r 0 0 0 0 0 0 0 0 0 4 R ub ini 1 500 0 3000 225 0 1 500 2 1 75 0 225 0 1 875 41 25 1 7625 5 Sa n gcc tha 20000 4000 3000 2000 29000 3000 25 00 55 00 23500 6 Sa nth osh 18000 3600 2700 1 800 26 100 27 00 2250 4950 2 1 150 7 Sa nth os h S 25 000 5000 375 0 25 00 36250 375 0 3 1 25 6875 29375 8 S arath a Priya 15000 3000 2250 1 500 2 1 750 225 0 1 875 4125 1 762 5 9 Sa r ava n a n 20000 4000 3000 2000 29 000 3000 2500 55 00 23500
I 0 Sarugcswar i 24000 4800 36 00 2400 34800 36 00 3000 6600 28200 I I S uhi s h 32 000 6400 4 800 32 00 46400 4800 4000 8800 37600 1 2 Sa thi sh M 15000 3000 2250 1 500 2 1 750 225 0 1 875 41 25 1 7625 1 3 Sa thri yan 12000 2400 1 800 1 20 0 1 7400 1 800 1 500 33 00 141 00 1 4 Sc lv i 16 500 33 00 2475 1 65 0 23925 2475 20 62 .5 4 537 .5 1 9387 .5 1 5 Shanth i 10000 2 000 1 500 10 00 14500 1500 I250 2750 I I75 0 1 6 S ikkan 2 0500 4 1 00 3075 2 0 50 29725 30 75 2562 .5 5637.5 24 0 87.5 1 7 S ri Priya 32 000 6400 4 800 32 00 46400 4800 4000 88 00 37600 1 8 S u ga ny a 16500 33 00 2475 1 6 50 23925 247 5 20 62 .5 4537 .5 1 9387 .5 1 9 Suj a th a 16 500 33 00 247 5 1 65 0 23925 24 75 2062 .5 4 537 .5 1 9387 .5 20 Su n doos 185 00 37 00 2775 1 850 26825 2775 23 12 .5 5087.5 2 1 737 .5 21 S ur cndha r 25 000 5000 375 0 250 0 3 6 250 375 0 3 1 25 6875 29375 22 S ur csh U 2 0500 4 1 00 307 5 2050 29725 30 75 2562 .5 5637 .5 24 0 87 .5 23 S ur csh P 2 1 000 4200 3150 2 1 00 3 04 50 3 1 50 2625 5775 24675 24 S uri ya 16 500 33 00 247 5 1 6 50 23925 24 75 2062 .5 4537 .5 1 9387 .5 25 Udhaya 17000 3400 255 0 1 700 24 650 255 0 2 1 25 4 675 1 9975 26 Uma Dcvi 18000 36 00 27 00 1 800 26 100 27 00 2250 4 950 2 I I 5 0 27 Va i ram u t hu M 2 300 0 4600 34 50 23 00 33350 34 5 0 2 875 6325 2 70 25 28 Va ndh a n a 24000 4 800 36 00 2 400 34 800 36 00 3000 6600 28200
29 Veera Vinothkumar 2 1000 4200 3 1 50 2 100 30450 3150 2625 5775 24675 30 Vd laina yaga rn 14500 2900 2 175 1450 2 1025 2175 1812.5 3987.5 17037.5 31 Vijaya k umar 15000 300 0 225 0 1500 2 1750 2250 1875 4 125 17625 32 Vijalakshm i 16000 3200 2400 1600 23200 2400 2000 4400 18800 33 Vinoth 1700 0 3400 255 0 1700 24650 2550 2 125 4675 19975 34 Vinoth J 2 1000 4200 3 150 2 100 30450 3150 2625 5775 24675 35 Willia ms 30 000 600 0 4500 3000 43500 4500 3750 8250 35250
Tota l 646000 129200 969 00 64600 936700 96900 80750 177650 759050 Ave r age 184 57. 14 369 1 2769 1846 26763 2769 2307 5076 21687
Gross Pay 2%
Net Pay 0 %
50000
40000
30000
20000
10000 Gross Pay
3% 3% 2%
444 %._ _
3%
3%
2%2% 3% 3% R a m es h
R a mya Sree
Ra n jit h Kumar
Rubini
Sangeetha
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RESULT:
Thus the payroll statement has been created successfully in the MS Excel.
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Expt. No: 6
Date:
HTML
AIM:
To create a webpage using HTML programming language.
PROCEDURE:
Open Notepad. Click File->Save As. Choose all files from the file type menu.
Save your file as file.html. HTML (hypertext markup language) use tags. Tags are basically some text inside
of .
The first tag of a webpage is usually the tag.
The next tag is the tag. Between the and tags are the title
tag
On the next line after tag, put a tag. After the title tag, write the title
of your website. Now end the title by typing Now end your head by typing
Type
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RESULT:
Thus the webpage has been created successfully and viewed in web browser.
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Expt. No: 7
Date:
GRAPHICAL METHOD
AIM:
To solve the problem in TORA software by Graphical Method.
PROCEDURE:
Go to TORA software; click the TORA icon in the desktop.
Then select Linear Programming in the main menu.
Select Enter New Problem, and remaining leave as it is, and Go To Input Screen.
Input the Problem title, No. of Variables, and No. of Constraints. Then press enter.
Enter the objective functions as Max and the value 3, 4 as variables.
Enter 5,4 as the values for variables and 200 as the value of constraint for
constraint 1
Enter 3,5 as the values for variables and 150 as the value of constraint for
constraint 2
Enter 5,4 as the values for variables and 100 as the value of constraint for
constraint 3
Enter 8,4 as the values for variables and 80 as the value of constraint for constraint
4
To solve the problem, press Solve Menu button, then save the data in the folder.
Then go to Solve Problem and click graphical method.
Then click Go TO Output Screen.
Then click the constraints, and then click objective functions. Thus the problem is solved, make note of the value of the variables.
In case, to view or to edit the input data, go to View/ Modify Input Data button.
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RESULT:
Thus the problem has been solved successfully in the TORA software.
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Expt. No: 8
Date:
SIMPLEX METHOD
AIM:
To solve the problem by TORA software by simplex method.
PROCEDURE:
Go to TORA software; click the TORA icon in the desktop.
Then select Linear Programming in the main menu.
Select Enter New Problem, and remaining leave as it is, and Go To Input Screen.
Input the Problem title, No. of Variables, and No. of Constraints. Then press enter.
Enter the objective functions as Max and the value 3, 2 as variables.
Enter -2,1 as the values for variables and 1 as the value of constraint for constraint
1
Enter 1,1 as the values for variables and 3 as the value of constraint for constraint 2
To solve the problem, press Solve Menu button, then save the data in the folder.
Then go to Solve Problem and select Algebraic, then click Final Solution.
Then click Go To Output Screen to see the output.
Thus the problem is solved, make note of the value of the variables.
In case, to view or to edit the input data, go to View/ Modify Input Data button.
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RESULT:
Thus the problem has been solved successfully in the TORA software.
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Expt. No: 9
Date:
BIG M METHOD
AIM:
To solve the problem in TORA software by Big - M Method.
PROCEDURE:
Go to TORA software; click the TORA icon in the desktop.
Then select Linear Programming in the main menu.
Select Enter New Problem, and remaining leave as it is, and Go To Input Screen.
Input the Problem title, No. of Variables, and No. of Constraints. Then press enter.
Enter the objective functions as Max and the value 1,2,3,-1 as variables.
Enter 1,2,3,0 as the values for variables and 15 as the value of constraint for
constraint 1
Enter 2,1,5,0 as the values for variables and 20 as the value of constraint for
constraint 2
Enter 1,2,1,1 as the values for variables and 10 as the value of constraint for
constraint 3
Then go to Solve Problem and select Algebraic, then click Iterations, then click M
method.
To see the optimum result click all iterations.
Thus the problem is solved, make note of the value of the variables.
In case, to view or to edit the input data, go to View/ Modify Input Data button.
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,., ,.,
TO R A Op tim iza tion Sy stem . W ind ows -ve r sion 2.00 Co pyrigh.t 2000 -2007 Ha md y A. Ta ha. A ll Rights Re se rved Thursd ay , March 29 .20 12 14 :50
LINEAR PROGRAM-- ORIGINAL DATA
Title: bi m
x1 x2 x3 x4 Maximize 1.00 2.00 3.00 -1.00 SUJbjectto ( 1) 1.00 2.00 3 .00 0.00 15 .00 ( 2) 2.00 1.00 5.00 0.00 = 20.00 ( 3) 1.00 2.00 1.00 1.00 10 .00
Lower Bound 0.00 0.00 0.00 0.00
Upper Bound inf inity inf in ity infinity inf in ity Unrestr'd (y/n)? n n n n
SI MPLEX TABLEAUS -- (M-Method)
Title: big m
lt rcttion 1 Bas i c x1 x 2 x3 x4 R)(5 R x6
z (rn"x) -401 .00 - 5 02 .00 - 9 03 . 00 - > 1 9 .00 0 .00 0.0 0 Rx 5 1 .00 2.00 3 .00 0.00 1.00 0.00 Rx6 2 .00 1 .00 5 .00 o .oo o .oo 1 .00 Rx7 1 .00 2.00 1.00 1 .00 0.00 0.00
Lower Sound 0 .00 0 .00 0 .00 0 .0 0 Upper Sound i nfinity i nfi n ity infinity i nfinity
u n restrd (y/n).. ;, n n n n
Bas i c z (max)
Rx 7 () 0 0
So l utiOr'l - 4 5 00 .00
R x5 0 .00 15 .00 Rx6 0.00 20.00 Rx7 1 .00 10 .00
Iteration 2 Bas ic X1 x2 x::l x4 R x5 Rx6
z (max ) - 39.80 - 321.40 0.00 - 99.00 0.00 1 80.60
RxS -0.20 1.40 0 . 00 0 .00 1 . 00 -0 .60 x 3 0 40 0 2 Cl 1 . 00 000 0 .00 0 .2 0
Rx7 0 . 60 1 .80 0 .00 1.00 0 .00 -0 .20 L ow er Bound 0 .00 0 .00 0 .00 0 .00 Uppe r Bound i nfini t y i nfi n it y i nfi n it y i nfi nit y
Un r
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RESULT:
Thus the problem has been solved successfully in the TORA software.
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Expt. No: 10
Date:
DUAL SIMPLEX METHOD
AIM:
To solve the problem in TORA software by Dual simplex method.
PROCEDURE:
Go to TORA software; click the TORA icon in the desktop.
Then select Linear Programming in the main menu.
Select Enter New Problem, and remaining leave as it is, and Go To Input Screen.
Input the Problem title, No. of Variables, and No. of Constraints. Then press enter.
Enter the objective functions as Max and the value 6,8 as variables.
Enter 5,2 as the values for variables and 20as the value of constraint for constraint
1
Enter 1,2 as the values for variables and 10 as the value of constraint for constraint
2
To solve the problem, press Solve Menu button, then save the data in the folder.
Then go to Solve Problem and select Algebraic, then click Iterations, then click
Dual Simplex.
To see the optimum result click all iterations.
Thus the problem is solved, make note of the value of the variables.
In case, to view or to edit the input data, go to View/ Modify Input Data button.
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RESULT:
Thus the problem has been solved successfully in the TORA software.
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Expt. No: 11
Date:
TWO PHASE METHOD
AIM:
To solve the problem in TORA software by Two Phase Method.
PROCEDURE:
Go to TORA software; click the TORA icon in the desktop.
Then select Linear Programming in the main menu.
Select Enter New Problem, and remaining leave as it is, and Go To Input Screen.
Input the Problem title, No. of Variables, and No. of Constraints. Then press enter.
Enter the objective functions as Max and the value 5,-4,3 as variables.
Enter 2,1,-6 as the values for variables and 20as the value of constraint for
constraint 1
Enter 6,5,10 as the values for variables and 76 as the value of constraint for
constraint 2
Enter 8,-3,6 as the values for variables and 50 as the value of constraint for
constraint 3
To solve the problem, press Solve Menu button, then save the data in the folder.
Then go to Solve Problem and select Algebraic, then click Iterations, then click
Two- phase method.
Then click Go To Output Screen.
To see the optimum result click all iterations.
Thus the problem is solved, make note of the value of the variables. In case, to view or to edit the input data, go to View/ Modify Input Data button.
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TORA Opti m iz ation Sy st em , W in dows-ve rs ion 2 .00 Copyrig ht C 200()...2007 Ha mdy A . Taha . A ll R ig hts R e served Th u rsday, Ma r ch 29 .20 1 2 15 :04
LINEAR PROGRAM-- ORIGINAL DA T A
Title: 2 hase
Maximize x1
5.00 x2
-4.00 x3
3 .00 Subject to ( 1) 2.00 1 .00 -6.00 ( 2) 6.00 5 .00 10 .00
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RESULT:
Thus the problem has been solved successfully in the TORA software.
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Thus the problem is solved, make note of the values.
In case, to view or to edit the input data, go to View/ Modify Input Data button.
Expt. No: 12
Date:
CRITICAL PATH METHOD
AIM:
To find the Shortest Path using Critical Path Method in TORA software.
PROCEDURE:
Go to TORA software; click the TORA icon in the desktop.
Then select Project Planning, and select Critical Path method.
Select Enter New Problem, and remaining leave as it is, and Go To Input Screen.
Input the Problem title, and then press enter.
Then input starting node and leaving node, and input the appropriate duration.
Activity Duration1-2 151-3 152-3 032-5 053-4 083-6 124-5 014-6 145-6 036-7 14
To solve the problem, press Solve Menu button, then save the data in the folder.
Then go to Solve Problem
Then click Go TO Output Screen. Then select output options CPM Bar Chart and CPM Calculation.
In CPM Calculation, to see the final result click All Steps.
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RESULT:
Thus the problem has been solved successfully in the TORA software.
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PROGRAM EVALUATION & REVIEW TECHNIQUE
Expt. No: 13
Date:
AIM:
To find the Shortest Path using Program Evaluation and Review Technique in TORA
software.
PROCEDURE:
Go to TORA software; click the TORA icon in the desktop.
Then select Project Planning, and select Program Evaluation and Review
Technique.
Select Enter New Problem, and remaining leave as it is, and Go To Input Screen.
Input the Problem title, and then press enter.
Then input starting node and leaving node, and input the variables a, m, and b.
Activity a m b1-2 1 7 13
1-6 2 5 142-3 2 14 262-4 2 5 83-5 7 10 194-5 5 5 176-7 5 8 295-8 3 3 97-8 8 17 32
To solve the problem, press Solve Menu button, then save the data in the folder.
Then go to Solve Problem Then click Go TO Output Screen.
Then select output options Activity Mean/Var and PERT Calculation.
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RESULT:
Thus the problem has been solved successfully in the TORA software.
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Expt. No: 14
Date:
TRANSPORTATION PROBLEM
AIM:
To solve the problem using Transportation Problem in TORA software.
PROCEDURE:
Go to TORA software; click the TORA icon in the desktop.
Then select Transportation model,
Select Enter New Problem, and remaining leave as it is, and Go To Input Screen.
Input the Problem title, and input the No of Sources and Destination
Then input destination, sources, demand and supply.
D1
D2
D3
D4 Supply
S1 6 1 9 3 70
S2 11 5 2 8 55
S31
01
2 4 7 70
Demand 853
55
04
5
To solve the problem, press Solve Menu button, then save the data in the folder.
Then go to Solve Problem
Then click Go TO Output Screen.
Then select final solutions.
Thus the problem is solved, make note of the values. In case, to view or to edit the input data, go to View/ Modify Input Data button.
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RESULT:
Thus the problem has been solved successfully in the TORA software.
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Expt. No: 15
Date:
SQL DDL COMMANDS
AIM:
To create an Employee Database using Microsoft SQL server application.
PROCEDURE:
On the Windows desktop, choose Start > All Programs > Microsoft SQL Server >
Enterprise Manager.
In the Details (left) pane, navigate to the Databases folder of the server you're
using.
SQL Server Enterprise Manager displays a list of databases in the Details pane.
Then select Database, right click it and select New Database.
Then give name of the database, and save the table with the table name.
Then open the table to create the attributes, which are Employee Name- (varchar),
Emp. No. (int), D.O.B. (dobirth), etc.., save and close.
Open the table, and enter details of the employee one by one.
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Expt. No: 16
Date:
SPSS SINGLE MEAN T TEST
AIM:
To calculate statistical operation Single Mean T Test by SPSS software.
PROCEDURE:
Open SPSS software, by clicking SPSS icon on the desktop.
Select the Vaiable View at the bottom of the window.
Input the Name, and select the variable type, select the size of the width, and input
the no. of columns and rows.
Select the Data view at the bottom of the window.
And input the various weights.
Go to Analyze in the Menu, and choose Compare means, and select One Samples
T Test.
Select Weights as Test Variable.
Then press OK button to see the Output.
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T-Test
Paired Samples Statistics
Mean N Std. Deviation Std. Error
Mean Pair Before 1 After
122.0000 124.0000
55
8.03119 7.17635
3.59166 3.20936
Paired Samples Correlations
N Correlation Sig. Pair 1 Before & After 5 .746 .148
Paired Samples Test
Paired Differences
t Mean Std. Deviation Std. Error
Mean
95% Confidence Interval of the Difference
Lower Upper Pair 1 Before - After -2.00000 5.47723 2.44949 -8.80087 4.80087 -.816
Paired Samples Test
df Sig. (2-tailed) Pair 1 Before - After 4 .460
Page 1
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RESULT:
Thus the hypothesis is tested successfully using SPSS software.
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Expt. No: 17
Date:
SPSS DEPENDENT SAMPLE T TEST
AIM:
To calculate statistical operation Paired(Dependent) Samples T Test by SPSS
software.
PROCEDURE:
Open SPSS software, by clicking SPSS icon on the desktop.
Select the Vaiable View at the bottom of the window.
Input the Name, and select the variable type, select the size of the width, and input
the no. of columns and rows.
Select the Data view at the bottom of the window.
And input the various Beforeand After variables.
Go to Analyze in the Menu, and choose Compare means, and select Paired
Samples T Test.
Select Paired variabes from Before to After.
Then press OK button to see the Output.
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Mean-2.00000
Std. Deviation5.47723
Std. Error Mean
2.44949
95% Confidence Interval of theDifference
Lower -8.80087
Upper 4.80087
GET
FILE='C:\Users\Arun\Desktop\SPSS data sheet\Paired t test.sav'.
DATASET NAME DataSet0 WINDOW=FRONT. T-TEST PAIRS=Before WITH After (PAIRED)
/CRITERIA=CI(.9500)
/MISSING=ANALYSIS.
T-Test
[DataSet1] C:\Users\Arun\Desktop\SPSS data sheet\Paired t test.sav
Paired Samples Statistics
Pair 1 Before
After
Mean1.2200E2
1.2400E2
N Std. Deviation5 8.03119
5 7.17635
Std. Error Mean
3.59166
3.20936
Paired Samples Correlations
Pair 1 Before & After N Correlation
5 .746Sig.
.148
Paired Samples Test
Paired Differences
Pair 1 Before - After t-.816
Paired Samples Test
df Sig. (2-tailed)
Pair 1 Before - After 4 .460
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RESULT:
Thus the hypothesis is tested successfully using SPSS software.
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Expt. No: 18
Date:
SPSS INDEPENDENT SAMPLE T TEST
AIM:
To calculate statistical operation Independent Samples T Test by SPSS software.
PROCEDURE:
Open SPSS software, by clicking SPSS icon on the desktop.
Select the Vaiable View at the bottom of the window.
Input the Name, and select the variable type, select the size of the width, and input
the no. of columns and rows.
Select the Data view at the bottom of the window.
And input the various diets and weights.
Go to Analyze in the Menu, and choose Compare means, and select Independent
Samples T Test.
Select Diet as Grouping Variable, Weights as Test Variable.
Then go to option, and enter the Confidence interval.
Then select the Define Groups, and enter value of Group1 and Group 2.
Then press OK button to see the Output.
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Page 1
T-Test
Group Statistics
Diet N Mean Std. Deviation Std. Error
Mean Weights 1.00
2.00 7
1027.0000 32.0000
6.65833 6.23610
2.51661 1.97203
Independent Samples Test
Levene's Test for Equality of Variances
F Sig. Weights Equal variances
assumed Equal variancesnot assumed
.083 .777
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Page 2
Independent Samples Test
t-test for Equality of Means
t df Sig. (2-tailed) Mean
DifferenceWeights Equal variances
assumed
Equal variances not assumed
-1.583
-1.564
15
12.491
.134
.143
-5.00000
-5.00000
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Page 3
Independent Samples Test
t-test for Equality of Means
Std. Error Difference
95% Confidence Intervalof the Difference
Lower Upper Weights Equal variances
assumed
Equal variances not assumed
3.15806
3.19722
-11.73124
-11.93590
1.73124
1.93590
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RESULT:
Thus the hypothesis is tested successfully using SPSS software.
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Expt. No: 19
Date:
SPSS CHI SQUARE TEST
AIM:
To calculate statistical operation Chi Square Test by SPSS software.
PROCEDURE:
Open SPSS software, by clicking SPSS icon on the desktop.
Select the Vaiable View at the bottom of the window.
Input the Name, and select the variable type, select the size of the width, and input
the no. of columns and rows.
Select the Data view at the bottom of the window.
And input the various savings and income.
Go to Analyze in the Menu, and choose Data Reduction, and select
Correspondance Analysis.
Select income as row, and saving as columns.
And define the range for them.
Then press OK button to see the Output.
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Page 1
Correspondence
Credit
CORRESPONDENCE Version 1.1by Data Theory Scaling System Group (DTSS)Faculty of Social and Behavioral SciencesLeiden University, The Netherlands
Correspondence Table
Total Income
Total Saving
upto 5000 5001-10000 10001-15000 15001-20000 20001 and
above Active Margin upto 20000 67 42 13 2 0 12420001-30000 89 80 42 6 2 21930001-40000 25 32 26 15 5 10340001-50000 8 21 10 11 4 54
50001 and above 7 9 19 7 10 52 Active Margin 196 184 110 41 21 552
Summary
Dimension Singular
Value Inertia Chi Square Sig.
Proportion of Inertia
Accounted for Cumulative 1 .438 .192
128.683 .000 a
.824 .824 2 .176 .031 .133 .957 3 .087 .008 .033 .990 4 .048 .002 .010 1.000 Total .233 1.000 1.000
Summary
Dimension
Confidence Singular Value
StandardDeviation
Correlation
2 1 2 3 4 Total
.037
.059 .216
a. 16 degrees of freedom
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Page 2
Overview Row Points a
Total Income Mass
Score in Dimension
Inertia
Contribution
1 2
Of Point to Inertia of Dimension
1 2 upto 20000 .225 -.685 .138 .051 .240 .024 20001-30000 .397 -.351 .072 .025 .112 .012 30001-40000 .187 .459 -.347 .023 .090 .128 40001-50000 .098 .760 -.830 .038 .129 .383 50001 and above .094 1.414 .920 .097 .430 .453
Active Total 1.000 .233 1.000 1.000
Overview Row Points a
Total Income
Contribution
Of Dimension to Inertia of Point 1 2 Total
upto 20000 .913 .015 .928 20001-30000 .868 .014 .882 30001-40000 .753 .173 .925 40001-50000 .648 .311 .959 50001 and above .853 .145 .999
Active Total
a. Symmetrical normalization
Overview Column Points a
Total Saving Mass
Score in Dimension
Inertia
Contribution
1 2
Of Point to Inertia of Dimension
1 2 upto 5000 .355 -.578 .194 .056 .271 .076 5001-10000 .333 -.167 -.270 .010 .021 .139 10001-15000 .199 .472 .256 .026 .101 .074 15001-20000 .074 1.205 -.997 .061 .246 .419 20001 and above .038 2.039 1.161 .080 .361 .291
Active Total 1.000 .233 1.000 1.000
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Page 3
Overview Column Points a
Total Saving
Contribution
Of Dimension to Inertia of Point 1 2 Total
upto 5000 .930 .042 .972 5001-10000 .422 .443 .865 10001-15000 .749 .088 .837 15001-20000 .770 .211 .981 20001 and above .866 .113 .979
Active Total
a. Symmetrical normalization
Row and Column Points
Symmetrical Normalization
Total Income
Total Saving
1.5
1.0
20001 and above
50001 and above
0.5
0.0
-0.5
upto 5000
upto 20000 20001-30000
5001-10000
10001-15000
30001-40000
-1.0 -1
40001-50000
0
15001-20000
1 2
Dimension 1
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RESULT:
Thus the hypothesis is tested successfully using SPSS software.
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Expt. No: 20
Date:
SPSS CORRELATION
AIM:
To calculate statistical operation Correlationby SPSS software.
PROCEDURE:
Open SPSS software, by clicking SPSS icon on the desktop.
Select the Vaiable View at the bottom of the window.
Input the Name, and select the variable type, select the size of the width, and input
the no. of columns and rows.
Select the Data view at the bottom of the window.
And input the various savings and income.
Go to Analyze in the Menu, and choose Correlate, and select Bivariate
Select income and saving as Variables.
Then press OK button to see the Output.
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Correlations
Correlations
Total Income Total Saving Total Income Pearson Correlation 1 .428**
Sig. (2-tailed) .000 N 552 552
Total Saving Pearson Correlation .428** 1Sig. (2-tailed) .000 N 552 552
**. Correlation is significant at the 0.01 level (2-tailed).
Page 1
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RESULT:
Thus the hypothesis is tested successfully using SPSS software.
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Expt. No: 21
Date:
SPSS ANNOVA
AIM:
To calculate statistical operation Annova by SPSS software.
PROCEDURE:
Open SPSS software, by clicking SPSS icon on the desktop.
Select the Vaiable View at the bottom of the window.
Input the Name, and select the variable type, select the size of the width, and input
the no. of columns and rows.
Select the Data view at the bottom of the window.
And input the various savings and income.
Go to Analyze in the Menu, and choose Compare Means, and select One - Way
Annova
Select income as factor and saving as dependent list.
Then go to Hoc Multiple Comparisons, and check Duncan, then press continue
Then press OK button to see the Output.
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Oneway
Total monthly saving
ANOVA
Sum of Square
df Mean Square F Sig.
Between Groups 4E+009 4 905926861.7 34.849 .000 Within Groups 1E+010 547 25995830.505 Total 2E+010 551
Post Hoc Tests
Homogeneous Subsets
Duncan a,b
Total monthly saving
Total Income N Subset for alpha = .05
1 2 3 4 upto 20000 124 5310.48
7064.87 10007.20
13545.67
20001-30000 219 30001-40000 103 40001-50000 54 11195.37 50001 and above 52Sig. 1.000 1.000 .133 1.000
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 83.210. b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
Page 1
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RESULT:
Thus the hypothesis is tested successfully using SPSS software.
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Expt. No: 22
Date:
CREATION OF BALANCE SHEET
AIM:
To prepare a balance sheet for Rajesh traders using Tally package for the following
information.
PROCEDURE:
If the Tally package was present in the desktop window double click the icon
To open it, else select START>PROGRAM>TALLY
In the company info. Select create company to create a new company. [CREATION OF LEDGER]
In gate way of Tally select Acco.Info.
Select Ledger
Select single ledger create
Then type the name Capital, Sbi Bank, Credit purchase, Credit Sales, Cash in
Hand, Machinery, Pravin traders, Krishna Traders, Tavi & co, Kumar & co,
Rent, Salaries, Wages, Carriage Inwards, Building.
On pressing F11 (function key), it will display the features of the company and
Select the choices give yes to maintain bill wise details, Yes to Allow cash
Entries in journal, Yes to Use Dr/Cr instead of To/By
[CREATION OF VOUCHER]
In Gateway of Tally select voucher Entry
F4 - For contra - Select Contra Voucher F5 - For Payment - Select Contra Voucher F6 - For Receipt - Select Contra Voucher F7 - For Journal - Select Contra Voucher F8 - For Sales - Select Contra Voucher
F9 - For Purchase - Select Contra Voucher [TO DISPLAY THE BALANCE SHEET]
In Gateway of tally select Balance sheetIt will display the Balance sheet. Exit
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RESULT:
Thus the balance sheet is prepared successfully using TALLY software.
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PREPARATION OF BALANCE SHEET USING TALLY
Expt. No: 23
Date:
AIM:
To prepare Balance sheet using TALLY for the following information.
Capital Rs.1, 00,000 is introduced into the Business
Salary Rs. 10,000 is paid
Cash sales made Rs. 10, 00,000
Sold goods to Mr.Murugan for Rs. 30,000
Sold goods to Mr.Kandan for Rs. 25,000
Cash received from Mr.kandan Rs. 10,000
Cash purchases made for Rs. 1, 25,000 and no closing stock
PROCEDURE:
Enter in to TALLY by double clicking Go to company Menu and select the New company
Enter the company name, short name, address and press Enter button
Enter the Starting date and ending date of the fiscal year of the creating
Company and press Enter button
Enter the Business Type and select TRADER option from the Dropdown list and
And press NEXT button
From the Activities menu , Select Enter Documents and select journal voucher
From the dropdown list and press Ok button
Enter the date and enter the following information in the journal voucher
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