7. A recent national survey found that high school students watched an average (mean) of 6.8 movies per month with apopulation standard deviation of 1.8. The distribution of number of movies watched per month follows the normaldistribution. A random sample of 36 college students revealed that the mean number of movies watched last monthwas 6.2. At the .05 significance level, can we conclude that college students watch fewer movies a month than highschool students? For L Exercises 5- 8: (a) State the null hypothesis and the alternate hypothesis. (b) State the decision rule. (c)Compute the value of the test statistic. (d) What is your decision regarding Ho? (e) What is the p-value? Interpret it.

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Answered: For L Exercises 5–L 8: (a) State the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In the prior presidential election, the average voter turnout in Miami was 57%. You think this will change in the next presidential election. Which is the null hypothesis? H0: turnout = 57% H0: turnout ≠ 57%
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K Are you an impulse shopper? A survey of 800 grocery shoppers indicated that 18% of males and 50% of females make an impulse purchase every time they shop. Assume that the survey consisted of 400 males and 400 females. Complete parts (a) and (b) below. search State the conclusion.. the null hypothesis. There is evidence at the 0.05 level of significance to conclude that there is a difference in the proportion of males and females who make an impulse purchase every time they shop. b. Find the p-value in (a) and interpret its meaning. The p-value is (Round to three decimal places as needed.). Interpret the p-value. The p-value is the probability that in a random sample of 800 adults, the difference between the proportions of males and females who make an impulse purchase the difference in this sample, assuming that the proportion of males who make an impulse purchase every time every time they shop will be the proportion for females in the population. they shop is #1 I C 86°F VSIA 441
Foreign freshmen are required to take an English placement exam. Over the past several years, 20% of the new students have failed the test and have been placed in remedial classes. In a sample of n = 100 studentsfrom this year’s class, only 12 failed the test.
i need this, the t statistic, and p value
Using the accompanying New Account Processing data, perform chi-square tests for independence to determine if certification is independent of gender and if certification is independent of having prior industry background. Click the icon to view the New Account Processing data. - x Find the hypotheses for the chi-square test for independence to determine if certification is independent of gender. H: Certification and Gender are independent New Account Processing Data H₁ Certification and Gender are dependent Perform the chi-square test for independence to determine if certification is independent of gender. Compute the chi-square statistic. (Type an integer or decimal rounded to two decimal places as needed.) Gender Certified Prior Background M Y F Y Y M Y N N Y M F N Y Y Y Y Y Y N N F N Y M Y N M Y N F N Y N N F N Y M Y Y M N Y M N N M N Y Print Done
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uppose you reject the null hypothesis H0: μ = 101. It turns out the population mean is actually equal to 101. You have made a Group of answer choices Type I and Type II errors the correct decision Type II error Type I error
True or False?
Test the claim that the proportion of people who own cats is larger than 20% at the 0.005 significance level. The null and alternative hypothesis would be: H2:p = 0.2 Họ:p 2 0.2 H9:p 0.2 H9:p = 0.2 Hg: u 0.2 H1: u 0.2 The test is: left-tailed two-tailed right-tailed Based on a sample of 300 people, 24% owned cats The test statistic is: (to 2 decimals) The p-value is: (to 2 decimals) Based on this we: O Reject the null hypothesis O Fail to reject the null hypothesis
USE THE 8-STEP HYPOTHESIS TESTING Refer to the study by Carter et al. [A-9], who investigated the effect of age at onset of bipolar disorder on the course of the illness. One of the variables studied was subjects' family history. Table 3.4.1 shows the frequency of a family history of mood disorders in the two groups of interest: early age at onset (18 years or younger) and later age at onset (later than 18 years). Family History of Mood Disorders Early ≤ 18(E) 28 19 41 53 Later > 18 (L) 35 38 44 60 141 Total 63 57 85 113 Negative (A) Bipolar disorder (B) Unipolar (C) Unipolar and bipolar (D) Total 177 318 Source: Tasha D. Carter, Emanuela Mundo, Sagar V. Parkh, and James L. Kennedy, "Early Age at Onset as a Risk Factor for Poor Outcome of Bipolar Disorder," Journal of Psychiatric Research, 37 (2003), 297-303. Can we conclude on the basis of these data that subjects 18 or younger differ from subjects older than 18 with respect to family histories of mood disorders? Let a = .05.

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For L Exercises 5–L 8: (a) State the null hypothesis and the alternate hypothesis. (b) State the decision rule. (c) Compute the value of the test statistic. (d) What is your decision regarding H? (e) What is the p-value? Interpret it.