Getting Down to Business: Getting Down to Business: Engaging Business Majors Engaging Business Majors in Statistics Class in Statistics Class Heather Smith and John Walker Heather Smith and John Walker Cal Poly, San Luis Obispo Cal Poly, San Luis Obispo E-mail: [email protected]E-mail: [email protected]Downloads: Downloads: statweb.calpoly.edu/jwalker statweb.calpoly.edu/jwalker
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Getting Down to Business: Engaging Business Majors in Statistics Class Heather Smith and John Walker Cal Poly, San Luis Obispo E-mail: [email protected].
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Getting Down to Business:Getting Down to Business:Engaging Business MajorsEngaging Business Majors
in Statistics Classin Statistics Class
Heather Smith and John WalkerHeather Smith and John WalkerCal Poly, San Luis ObispoCal Poly, San Luis Obispo
#1:#1: The Cal Poly Alphabet CompanyThe Cal Poly Alphabet Company
THE NECESSITY OF TRAINING HANDS FOR FIRST-CLASS FARMS IN THE FATHERLY HANDLING OF FRIENDLY FARM LIVESTOCK IS FOREMOST IN THE MINDS OF FARM OWNERS. SINCE THE FOREFATHERS OF THE FARM OWNERS TRAINED THE FARM HANDS FOR FIRST-CLASS FARMS IN THE FATHERLY HANDLING OF FARM LIVESTOCK, THE OWNERS OF THE FARMS FEEL THEY SHOULD CARRY ON WITH THE FAMILY TRADITION OF TRAINING FARM HANDS OF FIRST-CLASS FARMS IN THE FATHERLY HANDLING OF FARM LIVESTOCK BECAUSE THEY BELIEVE IT IS THE BASIS OF GOOD FUNDAMENTAL FARM EQUIPMENT.
“The Cal Poly Alphabet Company doesn’t like F’s. Inspect this passage; find and count the F’s.”
Transformed Model 2: Return vs. ReturnTransformed Model 2: Return vs. ReturnThe regression equation is DELL-r = 2.16 + 2.58 SPX-r24 cases used 1 cases contain missing valuesPredictor Coef SE Coef T PConstant 2.157 3.253 0.66 0.514SPX-r 2.5775 0.6351 4.06 0.001
#3: The Long Jump Activity#3: The Long Jump Activity
• Divide the class into teams and pick team leaders• Equipment: a yardstick and a data collection form• Teams go outside, and each person jumps• For each person, record:
NameJumping distance (in.)Height (in.)Foot-to-waist height (in.)Gender (M/F)Age (years)Shoe type (Good/Bad/None)
Lessons from the Long Jump ActivityLessons from the Long Jump Activity
• Simple regression doesn’t tell the whole story • Predictors may be quantitative (e.g. height, age)
or categorical (e.g. gender, type of shoes)• How to create and interpret indicator variables• Interactions may be present (height*gender)• Multicollinearity may cause problems
(Height is highly correlated with foot-to-waist ht.)
• Two sample t-test• Paired t-test• One-way ANOVA• Multi-factor ANOVA with or without interactions• Fractional factorial design and analysis• Quadratic terms
Gloria Barrett and Floyd Bullard
North Carolina School of Science and Mathematicshttp://courses.ncssm.edu/math/Stat_inst01/PDFS/theme_var.pdf