Question

i) State the Hypotheses to Test. ii) Make a decision based on the information given. iii) What would be Type I and Type II errors.

Answer 1

Answer Date: 11/11/2019 To test the hypothesis is that there is a significance difference in mean cholesterol levels between the diet programs at 5% significance level. The null and alternative hypothesis is, H:/ - 12 = 0 H:47 - U2 = 0 The p-value for this test is less than 0.0001. Decision

The conclusion is that the p-value in this context is less than 0.05 which is less than 0.0001, so the null hypothesis is rejected at 5% level of significance. There is sufficient evidence to indicate that there is a significance difference in mean cholesterol levels between the diet programs. The result is statistically significant. iii) Type I error is when null hypothesis which is there is no significance difference in mean cholesterol levels between the diet programs is rejected when it is true. Type II error is when alternative hypothesis which is there is a significance difference in mean cholesterol levels between the diet programs is rejected when it is true.