A computer manufacturing company claims that only 7.2% of their computers are returned. Kelly thinks that the company is misrepresenting the true proportion of computers that are returned, and that the true proportion is higher than they claim. She wants to test this using a = 0.01. Kelly takes a sample of 300 computers and observes that 25 are returned. Assume a normal sampling distribution. (a) What are the null and alternative hypotheses? Ho: p 0.072 + HA: P 0.072 + (b) What is the test statistic? (Round your answer to 2 decimal places, if needed.) (c) Using the statistical table, what is the p-value? (Round your answer to 4 decimal places, if needed.) (d) Based on the p-value, Kelly should fail to reject + the null hypothesis. (e) This data does not provide : sufficient evidence to conclude that the true proportion of computers is higher than claimed.

1. In a study of perception, 110 men are tested and 24 are found to have red/green color blindness (based on data from USA Today).  Assume that this was done in a simple random manner.  A 95% confidence interval estimate of the proportion of all men with red/green color blindness was found to be 0.14 to 0.30.  If we learn that the actual population proportion of men with red/green colorblindness is equal to 0.12, then what can we conclude?    A. The confidence interval was wrong.   B. We would need to see the sample data to make any conclusions Pick either answer A or B as your answer and show your work to go with it

Violation of which assumption below for the two-factor ANVOA is not a cause for concern with large sample sizes?     a. The populations from which the samples are selected must have equal variances.   b. The populations from which the samples are selected must be normal.   c. A violation of any assumption below would be a concern, even with large sample sizes.   d. The observations within each sample must be independent.

A computer manufacturing company claims that only 7.2% of their computers are returned. Kelly thinks that the company is misrepresenting the true proportion of computers that are returned, and that the true proportion is higher than they claim. She wants to test this using a = 0.01. Kelly takes a sample of 255 computers and observes that 23 are returned. Assume a normal sampling distribution. (a) What are the null and alternative hypotheses? Но: р 0.072 + HA: p 0.072 + (b) What is the test statistic? (Round your answer to 2 decimal places, if needed.) (c) Using the statistical table, what is the p-value? (Round your answer to 4 decimal places, if needed.) (d) Based on the p-value, Kelly should fail to reject + the null hypothesis. (e) This data does not provide + sufficient evidence to conclude that the true proportion of computers is higher than claimed.

A sociologist is studying the age of the population in Blue Valley. Ten years ago, the population was such that 19% were under 20 years old, 14% were in the 20- to 35-year-old bracket, 33% were between 36 and 50, 23% were between 51 and 65, and 11% were over 65. A study done this year used a random sample of 210 residents. This sample is given below. At the 0.01 level of significance, has the age distribution of the population of Blue Valley changed?Under 20 20 - 35 36 - 50 51 - 65 Over 6529 27 67 65 22(i) Give the value of the level of significance. State the null and alternate hypotheses.H0: The population 10 years ago and the population today are independent.H1: The population 10 years ago and the population today are not independent.H0: The distributions for the population 10 years ago and the population today are the same.H1: The distributions for the population 10 years ago and the population today are different. H0: Time ten years ago and today are independent.H1: Time ten years…

Assuming that other factors are held constant, which approach would tend to increase the likelihood of rejecting the null hypothesis?​   a. ​Decrease the sample mean difference.   b. ​Increase the sample variance.   c. ​Increase the sample mean difference.   d. ​Decrease the sample size.

In a survey of 180 females who recently completed high​ school, 75% were enrolled in college. In a survey of 160 males who recently completed high​ school,70 ​% were enrolled in college. At a=.009​, can you reject the claim that there is no difference in the proportion of college enrollees between the two​ groups? Assume the random samples are independent. Complete parts​ (a) through​ (e).

State the null and alternate hypothesis. Will you use a left tail, right tail or 2 tailed test? Identify the sampling distribution to be used: standard normal, Student’s t or chi squared. Find the value of the test statistic. Find the P-Value. Based on your answers, shall we reject or accept the null hypothesis? Write the conclusion in the context of the problem.

I need the solution for (d) please

You are deciding whether to employ a z procedure or a t procedure to test hypotheses about the mean of a population using a significance level of 0.05 for a sample size of 50. Which of the following statements is correct?   Question 17 options:   You should not use the t procedure, because the population does not have a Normal distribution.   You may use the z procedure, but only if you use the sample standard deviation.   You may not use the z procedure because you know the population standard deviation.   You should use the t procedure, provided you do not know the population standard deviation.