Question

In: Statistics and Probability

Beer and Diapers: There is a popular story (among data miners) that there is a correlation...

Beer and Diapers: There is a popular story (among data miners) that there is a correlation between men buying diapers and buying beer while shopping. A student tests this theory by surveying 160 male shoppers as they left a grocery store. The results are summarized in the contingency table below.

Observed Frequencies: Oi's

Bought     Did Not  
  Diapers     Buy Diapers     Totals  
Beer     8     21     29  
No Beer     10     121     131  
Totals     18     142     160  


The Test: Test for a dependent relationship between buying beer and buying diapers. Conduct this test at the 0.01 significance level.

(a) What is the test statistic? Round your answer to 3 decimal places.

χ2

=

(b) What is the conclusion regarding the null hypothesis?

reject H0fail to reject H0    


(c) Choose the appropriate concluding statement.

The evidence suggests that all men who buy diapers also buy beer.The evidence suggests that the probability of a man buying beer is dependent upon whether or not he buys diapers.     There is not enough evidence to conclude that the probability of a man buying beer is dependent upon whether or not he buys diapers.We have proven that buying beer and buying diapers are independent variables.

Solutions

Expert Solution


Related Solutions

There is a popular story (among data miners) that there is a correlation between men buying...
There is a popular story (among data miners) that there is a correlation between men buying diapers and buying beer while shopping. A student tests this theory by surveying 133 male shoppers as they left a grocery store. The results are summarized in the contingency table. Test for a dependent relationship between buying beer and buying diapers. Conduct this test at the 0.01 significance level. bought diapers did not buy diapers totals beer 9 51 60 no beer 11 62...
There is a popular story (among data miners) that there is a correlation between men buying...
There is a popular story (among data miners) that there is a correlation between men buying diapers and buying beer while shopping. A student tests this theory by surveying 134 male shoppers as they left a grocery store. The results are summarized in the contingency table. Test for a dependent relationship between buying beer and buying diapers. Conduct this test at the 0.05 significance level. Find the test statistic. Bought Diapers Did Not Buy Diapers Totals Beer 9 49 58...
There is a popular story (among data miners) that there is a correlation between men buying...
There is a popular story (among data miners) that there is a correlation between men buying diapers and buying beer while shopping. A student tests this theory by surveying 136 male shoppers as they left a grocery store. The results are summarized in the contingency table. Test for a dependent relationship between buying beer and buying diapers. Conduct this test at the 0.01 significance level. Bought Diapers Did Not Buy Diapers Totals Beer 5 52 57 No Beer 7 72...
Epidemiological studies link high rates of lung cancer among miners to dust particles inhaled while in...
Epidemiological studies link high rates of lung cancer among miners to dust particles inhaled while in the mines. Draw the demand, marginal social benefit, supply, and marginal social cost curves for the mining of ore. What kind of externality is this? Discuss any differences between the market equilibrium point and the efficient equilibrium point. What are some approaches that policymakers could consider implementing to address this market failure?
Angela’s Story: A Case Study on the Reproductive System You are a columnist for a popular...
Angela’s Story: A Case Study on the Reproductive System You are a columnist for a popular website that deals with women's health issues. Visitors to the site can submit their stories and questions through an “Ask the Expert” link on the site. In this scenario, a 26-year-old woman has posted her story and some questions regarding reproductive health. My name is Angela. I am a 26-year-old married woman with no children. My husband, Doug, and I have been trying to...
Can you explain the relationships among covariance, scatterplot, and correlation?
Can you explain the relationships among covariance, scatterplot, and correlation?
If the assumptions for correlation are met, data indicated a correlation of 0.914 between the length...
If the assumptions for correlation are met, data indicated a correlation of 0.914 between the length of a gator and and weight of a gator. Which one of the statements is false? a. If we convert the units from feet to meters for length of the gators, the correlation will remain unchanged. b. The longer a gator is, causes a gator to weigh more. c. As the length of a gator increases, its weight will increase, in general. d. The...
3. This data is from #4 in the Correlation (Ch. 7) homework. The correlation is r...
3. This data is from #4 in the Correlation (Ch. 7) homework. The correlation is r = .73. Answer the following: a. Predict the number of courses June is taking based on the fact that she missed 7 classes. b. Predict the number of courses Jordan is taking based on the fact that he missed 5 classes. c. Find the standard error of the estimate. What does this tell you about your predictions? You are interested in whether the number...
SPSS: Correlation Use SPSS or Excel to calculate the appropriate correlation coefficient for the following data...
SPSS: Correlation Use SPSS or Excel to calculate the appropriate correlation coefficient for the following data for “Hours of Exercise” and “Life Satisfaction.” (0 = Not at all satisfied). Provide an APA-style results section write – up. (b) Graph the relationship. HINT: Below you will find instructions for the APA-style write-up. Complete the write-up on a word document and upload the file for submission. Hours of Exercise.    2 0 5 6 1 2 4 4 3 4 life satisfaction...
You are running correlation analysis on a data set with 11 items. You calculate the correlation...
You are running correlation analysis on a data set with 11 items. You calculate the correlation coefficient to be 0.845. What is the critical value?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT