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SUBMITTED BYAvi Ranjan DuttaBhagyashree BorahDeepshikha
KakotyPallavi SaikiaSlovania BordoloiSukanya Siddhartha MudoiDr.
Mithun Jagdish Sharma, Assistant Professor, CMS*
Centre for Management Studies, School of Commerce and Management
Science, Dibrugarh University, Dibrugarh-786004, Assam,
IndiaWhether consistency in batting strike rate leads to success in
the ICC World Cup 2015?24-Apr-151INTRODUCTIONIn this research, we
have tried to find out how batting strike rate of players affected
the performance of the team in the game in ICC World Cup 2015. For
this, we have collected data from secondary sources, which is
continuous ratio data. The data collected has been shown with the
help of various statistical tools like graphs and charts and
finally conclusion has been drawn.*Continuous data can take any
value in a given range*Ratio data have absolute
values.24-Apr-152OBJECTIVESTo find out whether consistency in
batting strike rate leads to winning the game
24-Apr-153PropositionConsistent scores and high average run
scored per team i.e., with least fluctuations in strike rate leads
to success in the game.24-Apr-154RESEARCH METHODOLOGY
In order to fulfil our research objectives we did a causal
research where we have found out a cause and effect
relationship24-Apr-155Sources of dataData have been collected from
secondary sources from the official cricket world cup 2015 website
i.e., ICC-CRICKET.COM.For tabulation and calculation MS-EXCEL is
used.
24-Apr-156Four teams consisting of eleven players each including
substitute players for some matches.For India there were 11 regular
players.For South Africa there were 11 regular players and 3
substitute players.For Australia there were 11 regular players and
3 substitute players.For New Zealand there were 11 regular players
and 1 substitute player.SAMPLE SIZE24-Apr-157Data analysisWe have
used microsoft excel to generate useful information from the raw
data gathered from the website and the calculation is done through
formulas of mean and standard deviation .24-Apr-158MATHEMATICAL
FORMULAS
Where, = standard deviationxi = each value of datasetx (with a
bar over it) = the arithmetic mean of the data (This symbol will be
indicated as mean from now)N = the total number of data
pointsCalculation of standard deviation is important to correctly
interpret the data. For example, in physical sciences, a lower
standard deviation for the same measurement implies higher
precision for the experiment.*The mean is theaverageof the
numbers.To calculate strike rate:Strike Rate = (runs made by
batsman) / (total balls faced)*100eg:if MSD made 68 runs in 49
balls then,strike rate= (68/49) * 100 = 138.775524-Apr-159FIG:
SHOWING MEAN AND DEVIATION PER
PLAYER24-Apr-151024-Apr-151124-Apr-151224-Apr-151324-Apr-151424-Apr-151524-Apr-151624-Apr-151724-Apr-1518FIG:
SHOWING INDIAS CONSISTENCY PER MATCH24-Apr-1519FIG: SHOWING SOUTH
AFRICAS CONSISTENCY PER MATCH24-Apr-1520FIG: SHOWING NEW ZEALANDS
CONSISTENCY PER MATCH24-Apr-1521FIG: SHOWING AUSTRALIAS CONSISTENCY
PER MATCH24-Apr-1522FIG: SHOWING OVERALL CONSISTENCY OF ALL
TEAMS24-Apr-1523FIG: SHOWING OVERALL CONSISTENCY OF ALL
TEAMS24-Apr-1524LIMITATIONWe have undertaken the research using
only four teams due to which the aspect cannot be generalized but
we tried to show a comparative
fluctuation.24-Apr-1525CONCLUSIONAfter statistical analysis of the
data we can put forward our proposition in a modified form as A
consistent maintenance of high strike rate by an individual player
per game leads to success.24-Apr-152626