(A) Null hypotheses cannot be made with non-normal data. (B) Alternative hypotheses cannot be made with non- normal data. O Both statements are true. Only the first statement (A) is true.
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- The zombie apocalypse has broken out! It’s like an episode of the Walking Dead out there! You want to determine if the individuals roaming the streets, looking for brains to eat, are actual zombies. What would be your Type II error, given the following hypotheses. H0: They are not zombies! H1: They are zombies! Group of answer choices A.You find they are not zombies, but they actually are B. You find they are zombies, but they actually are not. C. You find that they are zombies, and in fact, they are D. You accidentally sampled Walking Dead extras, not real zombiesGender of Interviewer Man Woman Women who agree 578 314 Women who disagree 322 86 Identify the null and alternative hypotheses. Choose the correct answer below. A. H0: The response of the subject and the gender of the subject are independent. H1: The response of the subject and the gender of the subject are dependent. B. H0: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1: The proportions are the same. C. H0: The proportions of agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women. H1: The proportions are different. Compute the test statistic. Find the critical value(s). What is the conclusion based on the hypothesis test? Fail to reject/ Reject H0. There is/is not sufficient evidence to warrant rejection of the claim that the…Q12 Justified answer asap to get a upvote
- Let’s assume the average income for all majors in the School of Engineering is $80,000. However, the chair of the Computer Science department thinks their students earn more than that. Please choose the appropriate null and alternative hypotheses if the chair wanted to test this belief. a. H0: u <=80,000 Ha: u > 80,000 b. H0: u= 80000 Ha: u not= 80000 c. H0: u >80000 Ha: u < 80000 d. H0: u >80000 Ha: < 80000 e. None of the above.(b)Based on your answer to part (a), which statement below is true? Since the p-value is less than (or equal to) the level of significance, the null hypothesis is rejected. Since the p-value is less than (or equal to) the level of significance, the null hypothesis is not rejected. Since the p-value is greater than the level of significance, the null hypothesis is rejected. Since the p-value is greater than the level of significance, the null hypothesis is not rejected.Let’s say Mrs. Smith was 72 inches tall, and her question was “Are my students, on average, shorter than I am?”. What would be the null and alternative hypotheses in this scenario? A. Ho: The population average height is less than 72”. Ha: The population average height is greater than or equal to 72”. B. Ho: The population average height is greater than or equal to 72”. Ha: The population average height is less than 72”. C. Ho: The population average height is less than or equal to 72”. Ha: The population average height is greater than 72”. D. Ho: The population average height is greater than 72”. Ha: The population average height is less than 72”.
- Every time you conduct a hypothesis test, there are four possible outcomes of your decision to reject or not reject the null hypothesis: (1) You don’t reject the null hypothesis when it is true, (2) you reject the null hypothesis when it is true, (3) you don’t reject the null hypothesis when it is false, and (4) you reject the null hypothesis when it is false. Consider the following analogy: You are a meat inspector for the county health department. For every batch of meat you inspect, you must decide whether to certify that the meat is safe for human consumption. Suppose your null hypothesis is that the meat is unfit for human consumption. As in hypothesis testing, there are four possible outcomes of your decision: (1) You do not certify the meat when the meat is unfit for human consumption, (2) you certify the meat when the meat is unfit for human consumption, (3) you do not certify the meat when the meat is safe, and (4) you certify the meat when the meat is safe. Which of the…Develop the analysis of variance computations for the following completely randomized design. At a = 0.05, is there a significant difference between the treatment means? %3D Treatment A В C 137 106 92 119 113 81 114 125 85 108 105 101 132 107 89 115 109 116 129 96 109 90 115 119 103 97 81 121 118 106 101 2 226.86 137.33 212.22 State the null and alternative hypotheses. Ho: : Not all the population means are equal. Ha: HA = HB = HC Hoi HA = HB = HC H: Not all the population means are equal. Ho: At least two of the population means are equal. H: At least two of the population means are different. Ho: HA = HB = Hc %3D Ha: HA + HB + HCConsider the following statements about hypothesis testing: (i) Reject Ho. Evidence proves support for Ha. (ii) Fail to reject Ho. Evidence disproves support for Ha. (iii) Accept Ho. Evidence proves support for Ho. Which of the following is not an appropriate conclusion from a hypothesis test? a. None of the suggested answers are correct b. (i), (ii) only c. (iii) only d. (ii) only e. (i) only
- 4You watch people exiting Dodgers stadium after a game and you write down the number of males and the number of females that exit the stadium past you during the 20 minutes that you spend watching. You assumed that there would be a perfectly equal number of males and females attending a Dodgers game, but you look at the number of males and females that you actually counted, and you see if you still think that is actually true. What kind of hypothesis test would allow you to do this? a. One-Factor, Independent-Measures ANOVA b. Two-Factor ANOVA c. Correlation/Regression d. Chi-Square Goodness of Fitwhich of the following statements are true about ALTERNATE hypotheses? Please select all that apply. They posit that any relationship we observe between two variables is true in the population but not necessarily in samples from that population. They posit that there is a relationship between two variables in the population. They posit that any relationship we observe between two variables is the result of random chance They posit that any relationship we observe between two variables is not the result of random chance They posit that there is no relationship between two variables in the population. which of the following statements about p values are correct? Please select all that apply. They imply larger effect sizes They prove that the alternate hypothesis is true They correspond to the probability that we would observe a relationship between two variables in our sample, if there was no true relationship between them in the population They prove that the null hypothesis is true…