A market research firm used a sample of individuals to rate the purchase potential of a particular product before and afterthe individuals saw a new television commercial about the product. The purchase potential ratings were based on a 0 to 10scale, 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 commercialimproved the mean purchase potential rating. Use a = 0.05 and the following data to test the hypothesis and comment onthe value of the commercial.Purchase RatingIndividualAfterBefore65637.443398.77.8State the null and alternative hypotheses. se u = mean rating after - mean rating before.)O Ho: Hd>0O Ho: Hd =0O Ho: Hd s0Ha Hd> 0O Ho: Hd soH Hd=D0Ha Hd =D00 + Prl :H OCalculate the value of the test statistic. (Round your answer to three decimal places.)Calculate the p-value. (Round your answer to four decimal places.)p-value = State your conclusion.O Do not reject H.. There is insufficient evidence to conclude that seeing the commercial improves the mean potential topurchase.O Do not Reject H. There is sufficient evidence to conclude that seeing the commercial improves the mean potential topurchase.O Reject H: There is sufficient evidence to conclude that seeing the commercial improves the mean potential topurchase.O Reject Ho. There is insufficient evidence to conclude that seeing the commercial improves the mean potential topurchase.

Given data: Individual After Before 1 6 5 2 6 5 3 7 7 4 4 3 5 3 6 6 9 8 7 7 5 8 6…

Answered: A market research firm used a sample of…

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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A group of marketing students conducted a survey to compare the weekly sales of the two vendors of beauty products in a market. The results of the survey were as follows: Vendor B Vendor A Php 345 Php 450 Php 450 Php 760 Php 750 Php 980 Php 800 Php 658 Php 675 Php 455 Php 1,250 Php 968 Php 350 Php 925 Is there is a significant difference between the mean sales of the two vendors? Test the claim at 0.01 level of significance.
For the folllwing two questions state the response variable and the explanatory variable 1.Is there a relationship between the final rating given by the customer and the number of exchanges during the conversation? If so, which of the exchange categories have significantly different mean ratings? 2. It is thought that having a relatively consistent length of message in any given conversation indicates a pattern of helpful, well-balanced communication. In fact, some new research suggests that to ensure a productive conversation the maximum message length should be no more than 8 words greater than the minimum message length in any conversation. Test whether the conversations in the sample meet the criteria suggested by this research study.
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 1 6 5 6 4 3 7 4 4 3 3 8 8 6 State the null and alternative hypotheses. (Use u, = mean rating after - mean rating before.) O Ho: Hs0 H3: H = 0 O Ho: Hd#0 Hai Hq= 0 O Ho: Hg=0 O Ho: Hd> 0 Calculate the value of the test statistic. (Round your answer to three decimal places.) 1.183 Calculate the p-value. (Round your answer to…
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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 = .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. 6. 3 2 6. 4 6. 7 8 7 6. 5 4 4 8 6. 6 a. What are the hypotheses? Ho: ld is Select Ha: ld is select b. Compute d (to 3 decimals). Compute sa (to 1 decimal).
The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for support of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five step model as a guide and write a sentence or two interpreting your results. Age Less than 40 More than 40 Support: For 145 78 223 Against 103 169 272 248 247 495
I need help with 7, 8 and 9
A cruise ship charges passengers $3 for a can of soda. Because of passenger complaints, the ship manager has decided to try out a plan with a lower price. He thinks that with a lower price, more cans will be sold, which would mean that the ship would still make a reasonable total profit. With the old pricing, the mean number of cans sold per passenger for a 10-day trip was 10.3 cans. Suppose μ represents the mean number of cans per passenger for the new pricing. What hypotheses should the ship manager test if he wants to determine if the mean number of cans sold is greater for the new pricing plan? O Ho: μ = 10.3 versus H₂: μ> 10.3 O Ho: μ = O Ho: μ = 10 versus Ha: μ 10.3
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The U.S. National Center for Health Statistics complies birth statistics and publishes the results in vital statistics of the United States. The Center has historically believed that the mean of all newborns in the U.S. has been no less than 6.95 pounds. A sample of babies is selected so that the center can revise its belief. The following birth weights, in pounds are recorded: 7.4, 6.0, 8.6, 4.5, 2.0, 7.9, 4.0, 2.6, 5.9, 7.3, 7.3, 7.0, 6.3, 8.1, 7.1, 7.3, 6.6, 5.2, 9.8, 8.0, 10.9, 6.5, 3.8, 5.0, 8.0 a). At 5% level of significance, do these data provide sufficient evidence to refute the Center’s belief? Your conclusion must be in terms of the P-Value as well as setting up a Rejection Region. You must show all necessary work. b). Which statistical distribution should be applied in this situation and why? Explain carefully.
Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and/or income affect the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affect the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…
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