Business Statistics (1)

8
Business Statistics EXIT POLL PREDICTION Kapil Sharma 140201068 Mayank Jain 140201076 Prateek Dhar Sharma 140201099 Prateek Kanchan 140201100 Pratyush Haridwaj 140201101 Rajat Upadhayaya 140201114 Use of Sampling Technique and Chi square

description

Very important. USA elections analysis.

Transcript of Business Statistics (1)

Business Statistics

Business StatisticsEXIT POLL PREDICTIONKapil Sharma 140201068Mayank Jain 140201076Prateek Dhar Sharma 140201099Prateek Kanchan 140201100Pratyush Haridwaj 140201101Rajat Upadhayaya 140201114

Use of Sampling Technique and Chi squareSample size estimationCover all demographic profile to get unbiased result SAS software Clear answersTypes of SamplingSimple random samplingSystematic samplingStratified samplingProbability-proportional-to-size samplingCluster sampling

Sample used in Exit PollExit poll and related SURVEY methodology -- 2012 general electionUS Presidential Election 2012 60,000 people surveyedMost people reached by traditional way(as they exit the voting booth)Telephone polls also used(random digital dial)

Chi square testingCheck dependency level of two variablesFind relation between demographic profile and poll votingChi square test for independenceVoting PreferencesRow totalRepublicanDemocratIndependentMale120009000300024000Female1500018000300036000Column total2700027000600060000A public opinion poll surveyed a simple random sample of 60000 voters. Respondents were classified by gender (male or female) and by voting preference (Republican, Democrat, or Independent). Results are shown in thecontingency tablebelow.

Interpret results. Since the P-value (0.0003) is less than the significance level (0.05), we cannot accept the null hypothesis. Thus, we conclude that there is a relationship between gender and voting preference.

ConclusionChi square helps in knowing whether demographic profile is dependent on poll preference

THANK YOU