A researcher believes there is a difference in the mean number of days before visible results begin to show among three types of facial creams that reduce wrinkle lines. Several consumers are randomly selected and given one of the three creams. Each participant then recorded the number of days it took to see results. The results are shown in the table. Based on these data, can you conclude that there is a difference between the mean number of days for these three creams? Use a 0,10 level of significance and assume the population distributions are approximately normal with equal population variances. Cream #1 20 17 19 18 15 Cream #2 12 13 12 14 15 Cream #3 21 12 14 16 18 21 Copy Data Step 1 of 2: Compute the value of the test statistic Round any intermediate calculations to at least six decimal places, and round your final answer to four decimal places.

Use ANOVA.

Explain about upper tail test.

The average weight of a cuckoo bird is less than 1.6 pounds. what are the null and alternative hypothesis

Describe the type I error and the type II error for a hypothesis tests of the given claim. The proportion of settled medical malpractice suits is 0.22. Which of the following is a type I error? A. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually different from 0.22. O B. Fail to reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually different from 0.22. C. Fail to reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually 0.22. O D. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually 0.22. Which of the following is a type II error? O A. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually different from 0.22. O B. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually 0.22. O C.…

Explain what is a Hypothesis and how can we apply Hypothesis Testing into the Statistical world, any practical applications?

Explain about lower tail test.

The testing a hypothesis, describe the step-by-step procedure?

Choosing the alpha level for a hypothesis test allows researchers to control the probability of committing a type II error. True or False I see various answers on this question Please explain.

The mean age of bus drivers in chicago is 56.7 years. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis?