A market research firm used a sample of individuals to rate the purchase potential of a particular product before and after the individuals saw a new television commercial about the product. The purchase potential ratings were based on a 0 to 10 scale, with higher values indicating a higher purchase potential. The null hypothesis stated that the mean rating "after" would be less than or equal to the mean rating "before." Rejection of this hypothesis would show that the commercial improved the mean purchase potential rating. Use a = 0.05 and the following data to test the hypothesis and comment on the value of the commercial. Purchase Rating Individual After Before 5 2 6 4 5 3 6. 6. 9 8. 7 8. 6 7 State the null and alternative hypotheses. (Use H = mean rating after - mean rating before.) O Ho: HosO Hgi Hg = 0 O Ho: HosO Hai Hq> 0 O Ho: Ho *0 Hoi Ho = 0 O Ho: Ho = 0 O Ho: Hg>0 Calculate the value of the test statistic. (Round your answer to three decimal places.)

A market research firm used a sample of individuals to rate the purchase potential of a particular product before and after the individuals saw a new television commercial about the product. The purchase potential ratings were based on a 0 to 10 scale, with higher values indicating a higher purchase potential. The null hypothesis stated that the mean rating "after" would be less than or equal to the mean rating "before." Rejection of this hypothesis would show that the commercial improved the mean purchase potential rating. Use a = 0.05 and the following data to test the hypothesis and comment on the value of the commercial. Purchase Rating Individual After Before 5 2 6 4 5 3 6. 6. 9 8. 7 8. 6 7 State the null and alternative hypotheses. (Use H = mean rating after - mean rating before.) O Ho: HosO Hgi Hg = 0 O Ho: HosO Hai Hq> 0 O Ho: Ho *0 Hoi Ho = 0 O Ho: Ho = 0 O Ho: Hg>0 Calculate the value of the test statistic. (Round your answer to three decimal places.)

Name: Calculate the p-value. (Round your answer to four decimal places.)p-v
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Description: Calculate the p-value. (Round your answer to four decimal places.)p-value =State your conclusion.Reject Ho. There is sufficient evidence to conclude that seeing the commercial improves the mean potential to purchase.Reject Ho. There is insufficient

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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PLEASE ANSWER ASAP. A market research firm used a sample of individuals to rate the purchase potential of a particular product before and after the individuals saw a new television commercial about the product. The purchase potential ratings were based on a 0 to 10 scale, with higher values indicating a higher purchase potential. The null hypothesis stated that the mean rating "after" would be less than or equal to the mean rating "before." Rejection of this hypothesis would show that the commercial improved the mean purchase potential rating. Use a=0.05 and the following data to test the hypothesis and comment on the value of the commercial. Purchase Rating Purchase Rating Individual After Before Individual After Before 1 6 5 5 3 4 2 6 4 6 9 7 3 8 8 7 7 5 4 4 4 8 6 7 What are the hypotheses? Compute d (to 3 decimals) Compute sd (to 1 decimal). What is the p-value? What is your decision?
What is the summary of the overall model of the data shown in question 1? Is it one that you would trust from a statistical standpoint? specifically why ?
The researcher believes that happy workers are more productive workers. So he administers a job satisfaction scale to 100 randomly selected workers at his company. He also gets measures of their work productivity from the HR department (number of customers served). What is the researcher’s alternative hypothesis? a. There will be a difference between job satisfaction and worker productivity. b. The correlation between job satisfaction and worker productivity will be greater than zero. c. The most satisfied workers will be less likely to leave the company. d. There will be no relationship between job satisfaction and worker productivity.
In a 2015 study entitled How Undergraduate Students Use Credit Cards, it was reported that undergraduate students have a mean credit card balance higher than $3000. This figure was an all-time high and had increased 42% over the previous five years. Assume that a current study is being conducted to determine if it can be concluded that the mean credit card balance for undergraduate students has continued to increase compared to the report. They want to test to see if the balance for students in 2019 is higher than the balance for students in 2015. See the sample below of undergraduate students in 2015 and different undergraduate students in 2019. Credit Card Increase Students in 2015 Students in 2019 2500 3300 2200 5450 1500 8000 930 2000 5300 870 1150 250 2700 3000 3300 2200 What can we conclude from this t-test? a) Reject the null hypotesis OR Fail to reject the null hypotesis? b) We can conclude that the student balance in 2019 are significatly…
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Destiny wants to know whether gender predicts depressive symptoms in patients with heart disease. She assesses the number of depressive symptoms experienced by a large sample of patients and finds that the data on depressive symptoms are positively skewed. Which assumption of a single-sample z test has Destiny most likely violated?
Suppose you were to collect data for the following pair of variables, drivers: blood alcohol level, reaction time. You want to make a scatter plot. Which variable would you use as the explanatory variable? Blood alcohol or reaction time? Which variable would you use as the response variable? Blood alcohol or reaction time? Would you expect to see a positive or negative association? Or neither?
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A graduate student is interested in how viewing different types of scenes affects working memory. For his study, he selects a random sample of 36 adults. The subjects complete a series of working memory tests before and after walking in an urban setting. Before the walk, the mean score on the test of working memory was 9.1. After the walk, the mean score was 1.4 higher. The graduate student has no presupposed assumptions about how viewing different types of scenes affects working memory, so he formulates the null and alternative hypotheses as: H00 : μDD = 0 H11 : μDD ≠ 0 Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statistics for his hypothesis test: Mean difference (MDD) 1.4 Estimated population standard deviation of the differences (s) 1.6 Estimated standard error of the mean differences (sMDMD) 0.2667 Degrees of freedom (df) 35 The t statistic 5.25 The critical values of t…
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Kris works for the MESA Air Pollution Study at UW, and studies the correlation be- tween air pollution and the disease atherosclerosis. Nationally, 40% of adults suffer from atherosclerosis. Kris suspects that the proportion of people with atherosclerosis in high- pollution areas is higher. In a random sample of 600 residents of high-pollution areas, he finds that 270 (45%) subjects have atherosclerosis. At the 1% level (α = .01), is this good evidence that people in high-pollution areas are more likely to have atherosclerosis? (a) Which of the following is the Ha ? (research claim or alternate) A. Ha : p ≥ 0.40 B. Ha : pb ≥ 0.40 C. Ha : p > 0.40 D. Ha : p > b 0.40 E. Ha : p > b 0.45 F. Ha : p > 0.45 G. Ha : pb ≥ 0.45 H. Ha : p ≥ 0.45 I. None of these Hint: First read the problem and using my notes (or Hawkes) for 9.1, set up H0 and Ha . Then pick the right Ha from the above list. Dont try to guess the answer from the above list. (b) Which of the…