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You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly less than 0.21. You use a significance level of: α = 0.02. H₀:p = 0.21 H₁:p < 0.21 You obtain a sample of size n=325 in which there are 57 successes. a) What is the test statistic for this sample? b) What is the p-value for this sample? c) The p-value is: - Less than (or equal to) α - Greater than α d) This test statistic leads to a decision to: - Reject the null - Accept the null - Fail to reject the null e) As such, the final conclusion is that: - There is sufficient evidence to warrant rejection of the claim that the proportion of women over 40 who regularly have mammograms is less than 0.21. - There is not sufficient evidence to warrant rejection of the claim that the proportion of women over 40 who regularly have mammograms is less than 0.21. - The sample data support the claim that the proportion of women over 40 who regularly have mammograms is less than 0.21. - There is not sufficient sample evidence to support the claim that the proportion of women over 40 who regularly have mammograms is less than 0.21.
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