Mondays Blues

Mondays Blues

Unit 6, Topic 24, Exercise 24-25

Suicides We Write Essays For Students Tell us about your assignment and we will find the best writer for your paper Write My Essay For Me Many songs associate Mondays with having the blues, but are people really more likely to commit suicide on Mondays? A recent study (Kposowa et al., 2009) analyzed data on suicides in the United States between the years 2000 and 2004. They classified each suicide according to the day of the week on which it occurred. Their data produced the following sample percentages: A news article that described this study did not report the sample size. Suppose for now that the sample size was . The computer output below presents results of a chi-square goodness-of-fit test of equal proportions:

 

 

a. Explain how the expected counts were calculated.   Seven is divided by the sample size.   The sample size is divided by percentage of suicides for each day.   The percentage of suicides for each day is divided by the sample size.   The sample size is divided by seven.   The percentage of suicides for each day is multiplied by the sample size.   SHOW HINT

 

 

b. Choose how the chi-square contribution for Monday was calculated.             SHOW HINT

 

 

c. Interpret what the -value means in this context.   The -value is the probability of obtaining sample counts that result in a small chi-square test statistic, assuming that the probability of a suicide on each of the seven weekdays is not the same.   The -value is the probability of obtaining sample counts that result in a large chi-square test statistic, assuming that the probability of a suicide on each of the seven weekdays is the same.   The -value is the probability of obtaining sample counts that result in a small chi-square test statistic, assuming that the probability of a suicide on each of the seven weekdays is the same.   The -value is the probability of obtaining sample counts that result in a large chi-square test statistic, assuming that the probability of a suicide on each of the seven weekdays is not the same.   SHOW HINT

 

 

d. Summarize the conclusion that you would draw from this -value.   You have no statistical evidence that the probability of a suicide occurring on any of the seven weekdays is not the same.   You have weak statistical evidence that the probability of a suicide occurring on any of the seven weekdays is not the same.   You have strong statistical evidence that the probability of a suicide occurring on any of the seven weekdays is not the same.

 

 

e. Which day appears to be especially likely for suicides?   Monday   Tuesday   Wednesday   Thursday   Friday   Saturday   Sunday   SHOW HINT

 

 

f. If the sample size were larger, and the sample percentages stayed the same, how would the -value change?   The -value would increase.   The -value would decrease.   The -value would stay the same.

Unit 6, Topic 25, Exercise 25-22

Preventing Breast Cancer

The Study of Tamoxifen and Raloxifene (STAR) enrolled more than  postmenopausal women who were at increased risk for breast cancer. Women were randomly assigned to receive one of the drugs (tamoxifen or raloxifene) daily for five years. During the course of the study, researchers kept track of which women developed invasive breast cancer and which women did not. The initial results released in April 2006 revealed that  of  women in the tamoxifen group had developed invasive breast cancer, compared to  of the  women in the raloxifene group.

a. Organize this information into a  table.

	Tamoxifen	Raloxifene	Total
Breast Cancer
No Breast Cancer
Total

 

1. Calculate the expected counts, under the null hypothesis that the population proportions of women who would develop breast cancer are the same with both treatments.

   Round your answers to three decimal places.

 

	Tamoxifen	Raloxifene
Breast Cancer
No Breast Cancer

 

1. Conduct a chi-square test on these data. Report the hypotheses, test statistic, and -value. Summarize your conclusion.

   Round the test statistic to three decimal places. Use the chi-square distribution table to find a range for the -value. If there is no lower limit on the -value, enter for the lower limit. If there is no upper limit on the -value, enter  for the upper limit.

   ≠ = >

   ≠ = >

   The test statistic is .

   -value

   We  reject do not reject  .

 

1. Suppose someone else decided to perform a two-sample -test and found that and -value Comment on how this compares to the test statistic and -value you just calculated.

   The test statistic of the chi-square test is roughly  the square root of the square of double half of the same as  the test statistic of the two-sample -test.