A cognitive psychologist studying motivation wants to determine if type of music has any effect on thenumber of days (in 1 month) participants visit a gym. A total of four gyms are selected that have differentmusical formats. 9 gym members are randomly sampled from each gym, and their gym attendance ismonitored for 30 days. Complete the following ANOVA summary table, and use a significance level ofa = 0.02.SourceBetweenWithinTOTAL39.21187.712226.922SSX×332df35 ✓ 0°MS13.075.866F2.228 0.1040With the given significance level, what is the decision regarding the hypotheses?O fail to reject the null hypothesisO reject the null hypothesisWhat would you conclude about these treatments?These data do not provide evidence of a difference between the treatmentsO There is a significant difference between treatmentsP✓or

It is needed to test, whether type of music has any effect on the number of days.

Answered: A cognitive psychologist studying…

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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Periodically, customers of a financial services company are asked to evaluate the company's financial consultants and services. Higher ratings on the client satisfaction survey indicate better service, with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use a 0.05 and test to see whether the consultant with more experience has the higher population mean service rating. Consultant A Consultant B ₁16 ₂-10 X₁ -6.82 x₂ = 6.27 $₁0.69 5₂ -0.75 (a) State the null and alternative hypotheses. Ho ₁₂50 На H3 -127.0. 0 Ho Hi-H2=0 H₂H₂H₂O Ho M₁ M₂ O H₁:1₁-1₂-0 Ho² M₁-M₂0 H₂H₁₂50 Ho: M₁ M₂ 50 H₂H₂H₂O (b) Compute the value of the test statistic. (Round your answer to three decimal places.) (c) What is the p-value? (Round your answer to four decimal places.) p-value= (d) What is your conclusion? O Reject Ho. There is sufficient evidence to…
2. Interpret this data.
A study from 2014 found that adults in the US spend an average of 11 hours per day watching, reading, listening to or simply interacting with media. Researchers at UCLA suspect students spend less time engaging media. They grouped UCLA students by class section, randomly selected 20 class sections, and administered a survey to each student in those randomly selected class sections. The following data represents the mean time (in hours) per day spent engaging media for each of the randomly selected classes: 9.5 11.5 6.0 7.5 8 9.5 10.5 11 12 8.2 5 9.5 8.2 9.3 10.8 11 13 8.6 9.5 10.5 What would be the 99% Confidence Interval for mean time (in hours) spent per day engaging media for UCLA students. Do this "by hand", using appripriate symbols/formulas/tables.
A researcher would like to know which factors are most important to people who are buying a new car. A sample of n=200 customers between the ages of 20 and 29 are asked to identify the most important factor in the decision process: Performance, Reliability, or Style. The researcher would like to know whether there is a difference between the factors identified by women compared to those identified by men. The data are as follows: Observed Frequencies of Most Important Factors According to Gender: Performance Reliability Style Total Male 21 33 26 80 Female 19 67 34 120 Total 40 100 60 Compute the expected frequencies (fill in chart). Expected Frequencies: Performance Reliability Style Male Female
ShopEasy Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Larson Brown, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Larson's data yielded the following ANOVA table: Source of Variation Between Groups Within Groups Total SS 19.43 2.85 O 3.68 O 19.45 O 3.57 df 68102.33 2 34051.17 Using a = 0.05, the critical F value is MS 29177.67 15 1945.178 97280 17 F
An adventure company runs two obstacle courses, Fundash and Coolsprint. The designer of the courses suspects that the mean completion time of Fundash is not equal to the mean completion time of Coolsprint. To test this, she selects 240 Fundash runners and 200 Coolsprint runners. (Consider these as random samples of the Fundash and Coolspring runners.) The 240 Fundash runners complete the course with a mean time of 76.7 minutes and a standard deviation of 5.2 minutes. The 200 Coolsprint runners complete the course with a mean time of 77.5 minutes and a standard deviation of 5.4 minutes. Assume that the population standard deviations of the completion times can be estimated to be the sample standard deviations, since the samples that are used to compute them are quite large. At the 0.05 level of significance, is there enough evidence to support the claim that the mean completion time, μ1 , of Fundash is not equal to the mean completion time, μ2 , of Coolsprint?…
A study from 2014 found that adults in the US spend an average of 11 hours per day watching, reading, listening to or simply interacting with media. Researchers at UCLA suspect students spend less time engaging media. They grouped UCLA students by class section, randomly selected 20 class sections, and administered a survey to each student in those randomly selected class sections. The following data represents the mean time (in hours) per day spent engaging media for each of the randomly selected classes: 9.5 11.5 6.0 7.5 8 9.5 10.5 11 12 8.2 5 9.5 8.2 9.3 10.8 11 13 8.6 9.5 10.5 What would be the calculator steps to find standard deviaton, rounded to 3 decimal places?
To test whether there is a difference in the quality of some ballpoint pens produced by Scribulus, Writine, and Fantapen, random samples from each brand were purchased and the following data were collected: Scribulus Writinc Fantapen number purchased failed to write 41 29 16 300 250 200 Use a 5% level of significance to test whether there is any difference in quality measured by the proportion of pens that failed to write.

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