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Portage Learning MATH 110 Module 7 Exam _ Introduction to Statistics (All Answers are Correct)

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Module 7 Exam Exam Page 1 a) Define the null and alternative hypothesis for the following. Also, explain what it would mean to make a Type I error and explain what it would mean to make a Type II error. The newspaper in a certain city had a circulation of 19,000 per day in 2010. You believe that the newspaper’s circulation is different than 19,000 today. Ho: u = 19000 H1: u ≠ 19000 Type I Error: Reject the null hypothesis saying the mean newspaper circulation in a certain city is 19000 per day when the mean IS 19000 per day. Type II Error: Accept the null hypothesis saying the mean newspaper circulation in a certain city is 19000 per day when the mean it IS DIFFERENT than 19000 per day. b) Define the null and alternative hypothesis for the following. Also, explain what it would mean to make a Type I error and explain what it would mean to make a Type II error. A certain website had 6000 hits per month a year ago. You believe that the number of hits per month is less than that today. Ho: u = 6000 H1: u < 6000 Type I Error: Reject the null hypothesis saying a certain website had mean number of 6000 hits per month a year ago when the mean number of hit DID have 6000 hits per month. Type II Error: Accept the null hypothesis saying a certain website had a mean number of 6000 hits per month a year ago when the mean number of hit was LESS THAN 6000 hits per month. Answer Key a) Define the null and alternative hypothesis for the following. Also, explain what it would mean to make a Type I error and explain what it would mean to make a Type II error. Stati sti cs - Portage Online Summer 2018 The newspaper in a certain city had a circulation of 19,000 per day in 2010. You believe that the newspaper’s circulation is different than 19,000 today. a) H0: μ=19,000. H1:μ≠19,000. Type I error: Reject the null hypothesis that the circulation today is 19,000 when the circulation today actually is 19,000. Type II error: Do not reject the null hypothesis when the circulation is different than 19,000. b) Define the null and alternative hypothesis for the following. Also, explain what it would mean to make a Type I error and explain what it would mean to make a Type II error. A certain website had 6000 hits per month a year ago. You believe that the number of hits per month is less than that today. b) H0: μ=6000. H1:μ<6000. Type I error: Reject the null hypothesis that the website gets 6000 hits per month when the website gets at least 6000 hits per month. Type II error: Do not reject the null hypothesis when the number of hits per month is less than 6000. Exam Page 2 Suppose that we have a problem for which the null and alternative hypothesis are given by: H0: μ=1020. H1:μ< 1020. Is this a right-tailed test, left-tailed test, or two-tailed test. Find the z value based on a level of significance of .04. Left tailed test because the alternative hypothesis predicts it will be less than 1020. Ho: u = 1020 This study source was downloaded by 100000830604181 from CourseHero.com on 05-12-2022 20:31:35 GMT -05:00 https://www.coursehero.com/file/32391145/Module-7-Examdocx/ Stati sti cs - Portage Online Summer 2018 H1: u < 1020 a = 0.04 ----> look on standard normal distribution chart for left, 0.04006 is closest value to 0.04, z = -1.75 Left tailed te

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