You are interested in investigating whether gender and major are associated at your college. The table below shows the results of a survey.   Math/Science Arts/Humanities Business/Econ. Other Men 76 109 73 49 Women 82 96 93 34  What can be concluded at the αα = 0.01 significance level? What is the correct statistical test to use? Independence Homogeneity Goodness-of-Fit Paired t-test What are the null and alternative hypotheses? H0:H0:  The distribution of college major is the same for each gender. College major and gender are independent. College major and gender are dependent. The distribution of college major is not the same for each gender. H1:H1:  College major and gender are independent. The distribution of college major is not the same for each gender. College major and gender are dependent. The distribution of college major is the same for each gender. The test-statistic for this data =  (Please show your answer to three decimal places.) The p-value for this sample = (Please show your answer to four decimal places.)  The p-value is     αα  Based on this, we should accept the null fail to reject the null reject the null Thus, the final conclusion is... There is sufficient evidence to conclude that the distribution of college major is not the same for each gender. There is sufficient evidence to conclude that college major and gender are dependent. There is insufficient evidence to conclude that the distribution of college major is not the same for each gender. There is sufficient evidence to conclude that college major and gender are independent. There is insufficient evidence to conclude that college major and gender are dependent.

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You are interested in investigating whether gender and major are associated at your college. The table below shows the results of a survey.

  Math/Science Arts/Humanities Business/Econ. Other
Men 76 109 73 49
Women 82 96 93 34

 What can be concluded at the αα = 0.01 significance level?

  1. What is the correct statistical test to use?
    • Independence
    • Homogeneity
    • Goodness-of-Fit
    • Paired t-test
  2. What are the null and alternative hypotheses?
    H0:H0: 
    • The distribution of college major is the same for each gender.
    • College major and gender are independent.
    • College major and gender are dependent.
    • The distribution of college major is not the same for each gender.



    H1:H1: 
    • College major and gender are independent.
    • The distribution of college major is not the same for each gender.
    • College major and gender are dependent.
    • The distribution of college major is the same for each gender.
  3. The test-statistic for this data =  (Please show your answer to three decimal places.)

  4. The p-value for this sample = (Please show your answer to four decimal places.) 

  5. The p-value is     αα 

  6. Based on this, we should
    • accept the null
    • fail to reject the null
    • reject the null
  7. Thus, the final conclusion is...
    • There is sufficient evidence to conclude that the distribution of college major is not the same for each gender.
    • There is sufficient evidence to conclude that college major and gender are dependent.
    • There is insufficient evidence to conclude that the distribution of college major is not the same for each gender.
    • There is sufficient evidence to conclude that college major and gender are independent.
    • There is insufficient evidence to conclude that college major and gender are dependent.
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