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Home D Question 13 5 pts Announcements Assignments You are given the information that P(A) = 0.30 and P(B) = 0.40. If you know that

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Home D Question 13 5 pts Announcements Assignments You are given the information that P(A) = 0.30 and P(B) = 0.40. If you know that events A and B are Mutually Exclusive, do you have enough information to compute P(A or B)? Explain. Simple Syllabus Discussions ( Yes. P(A and B) = 0.12, so P(A or B) = P(A) + P(B) - 0.12 = 0.58 Grades ( Yes. P(A and B) = 0, so P(A or B) = P(A) + P(B) = 0.70 Pages ( Yes. P(A and B) = 0, so P(A or B) = P(B) - P(A) = 0.10 Files No. You need to know the value of P(A and B) Quizzes Modules Collaborations D Question 14 5 pts Chat My Credentials The p-value is the probability that the results of statistical experiments are due only to chance. The strength of evidence in support of a null hypothesis Ho is measured by the p-value. What is the claim about the p-value? Office 365 Portfolium O If p-value a we reject the null hypothesis and conclude the data are statistically significant at the level a Library Resources O If p-value s a we reject the null hypothesis and conclude the data are statistically significant at the level a Cisco Webex BryteWave Course Materials Follett Discover D Question 15 1 pts What is a type I error? Type I error is rejecting the null hypothesis when it is false O Type I error is failing to reject the null hypothesis when it is false O Type I error is failing to reject the null hypothesis when it is true. Type I error is rejecting the null hypothesis when it is true D Question 16 1 pt What is the probability of a type ll error? O a (Alpha) O B (Beta) 1 - B O H (Mu)D Question 17 5 pts nouncements signments mple Syllabus Suppose you want to test the claim that a population mean equals 32. State the null hypothesis and also state the alternate hypothesis if you have no information (either way) regarding how the population mean might differ from 32. Scussions O Ho: M * 32; H1: M = 32 ades O Ho: M > 32; H1: M = 32 ges O Ho: M = 32 ; H1: M * 32 jizzes O Ho: M 32 odules llaborations D Question 18 1 pts at Credentials fice 365 In a normal shaped distribution curve rtfolium the scores pile up on the right-hand side and taper off to the left ass Climate rveys O the scores pile up on the left-hand side and taper off to the right rary Resources the scores pile up in the middle and taper off symmetrically to both sides co Webex O the scores are evenly distributed across the entire scale of measurement teWave Course aterials llett Discover D Question 19 5 pts For the scores shown in the following stem and leaf display, how many people had scores in the 70s? 1 4 5 1 2 3 4 5 16 0 2 4 7 7 4 5 7 9 8 2 5 7 lo 7 0 4 07 O25 pts 2022 Fall Session D Question 20 Home Announcements For a population with mean u = 100 and standard deviation = 20, what is x the raw score value corresponding to the standard score z = -0.50? Account Assignments -10 Simple Syllabus ashboard 90 Discussions 99.5 Courses Grades 110 Pages Calendar Files Quizzes Inbox D Question 21 1 pts Modules history Collaborations Chat True or False. (? Help The t distribution curve tends to be flatter and more spread out than a normal distribution curve. My Credentials Office 365 True, The t distribution is symmetrical and has a mean of zero. Portfolium O False, The t distribution is not symmetrical but has a mean of zero. Class Climate Surveys False, The t distribution is not symmetrical and has a mean of zero. Library Resources O True, the t distribution is symmetrical but does not have a mean of zero. Cisco Webex BryteWave Course Materials D Question 22 3 pts Follett Discover In the least-squares line y = 5 - 6x, When x changes by 1 unit, by how much does y change? O When x increases by 1 unit, y increases by 6 units O When x increases by 1 unit, y decreases by -6 units O When x decreases by 1 unit, y decreases by 6 units. When x increases by 1 unit, y decreases by 6 units D Question 23 1 pts The Sample Correlation Coefficient r (also known as Pearson product-moment correlation coefficient) measures _ __. the strength of linear relationship O the strength of relationship without regard to the form of the relationship O the strength to which the relationship is consistently one directional

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