Test the claim that the proportion of men who own cats is significantly different than the proportion of women who own cats at the 0.02 significance level. The null and alternative hypothesis would be: Ho: HM PF Ho:HM H1: HM + HF H1:PM + PF Hị:PM > PF H1:µM > µF H1:PM < PF H1:HM < µF µf Ho:PM = PF Ho:PM = µF Ho:PM PF Ho: HM The test is: right-tailed left-tailed two-tailed Based on a sample of 60 men, 35% owned cats Based on a sample of 80 women, 60% owned cats The test statistic is: (to 2 decimals) The p-value is: (to 2 decimals) Based on this we: O Fail to reject the null hypothesis Reject the null hypothesis

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.