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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