In: Statistics and Probability
A manager for an insurance company believes that customers have the following preferences for life insurance products: 20% prefer Whole Life, 20% prefer Universal Life, and 60% prefer Life Annuities. The results of a survey of 200 customers were tabulated. Is it possible to refute the sales manager's claimed proportions of customers who prefer each product using the data?
Product | Number |
---|---|
Whole | 36 |
Universal | 58 |
Annuities | 106 |
Step 1 of 10: State the null and alternative hypothesis.
Step 2 of 10: What does the null hypothesis indicate about the proportions of customers who prefer each insurance product?
Step 3 of 10: State the null and alternative hypothesis in terms of the expected proportions for each category. (Ho: Pwhole= , Puniversal=, Pannuities=)
Step 4 of 10: Find the expected value for the number of customers who prefer Whole Life. Round your answer to two decimal places.
Step 5 of 10: Find the expected value for the number of customers who prefer Universal Life. Round your answer to two decimal places.
Step 6 of 10: Find the value of the test statistic. Round your answer to three decimal places.
Step 7 of 10: Find the degrees of freedom associated with the test statistic for this problem.
Step 8 of 10: Find the critical value of the test at the 0.05 level of significance. Round your answer to three decimal places.
Step 9 of 10: Make the decision to reject or fail to reject the null hypothesis at the 0.05 level of significance.
Step 10 of 10: State the conclusion of the hypothesis test at the 0.05 level of significance.