5. Random samples of seven students from each of three dormitories were asked to rate on a scale of1 (poor) to 10 (excellent) quality of the social life in their own dormitory. The ratings are shownbelow in the table:DormitoDormitoDormitoгy Агу Вгу С877971041031089.775.1. Construct an ANOVA Table5.2. Test whether the population mean ratings are the same for all three dormitories.Use 5% significance level.

5 The data shows the quality of the social life in three dormitories.

Answered: 5. Random samples of seven students…

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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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 0.1333 0.5022 O 22.4567 17.5054 SS O 1.9911 df 68102.33 2 34051.17 Using a = 0.05, the observed F value is MS 29177.67 15 1945.178 97280 17 F
2. In studying the effect of a drug for treating patients with respiratory problems, a researcher obtained a sample of 12 consenting patients, who, after discussion with their doctor, chose a respiratory drug they would receive. Patients' respiratory tests were assessed twice over a two-month period after initiating the treatment. Research question: The researcher wants to know if there is a significant difference between the group in their second test and those that didn't take the drug in their overall mean of 3.35 in average respiratory scores with a standard deviation of .08. Is there a difference between the two means - does the drug work? Carry out 9 steps of hypothesis testing. Respiratory Test 2 3.4 3.4 3.3 3.4 3.3 3.3 3.3 3.2 3.2 3.2 3.2 3.3 Σ-39.5
A manager wants to study the employees' absence behaviour in his company. He wishes to find the average number of days an employee absence last year. He randomly selected 25 employees from different departments and recorded the number of days they absent from work as follows: 3 17 5 8 7 10 12 15 7 20 21 14 15 14 11 5 7 25 18 (i) State the population and sample. (ii) Determine the variable of interest and state its level of measurement.
The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 900 men and 300 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Woman Man Women who agree Women who disagree 589 249 311 51 Click here to view the chi-square distribution table. Identify the null and alternative hypotheses. Choose the correct answer below. O A. Ho: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H: The proportions are the same. O B. Hn: The proportions of agree/disagree responses are the same for the subjects interviewed by men and the subjects interviewed by women. H: The proportions are different. OC. Ho: The response of…
2. Interpret this data.
The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 800 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 535 344 Women who disagree 265 56 Click here to view the chi-square distribution table. LOADING... Identify the null and alternative hypotheses. Choose the correct answer below. A. 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. B. H0: The proportions of agree/disagree…
A psychologist has designed a psychotherapy programme for people suffering from obesity, and wanted to determine what the mean weight loss would be for a population of people with obesity following the programme. The weight loss in kilograms, of 13 people who suffered with obesity and participated in the programme were randomly selected and the results were as follows: 21.4 23.1 25.9 24.7 23.4 24.5 21.925.0 22.5 29.9 29.4 25.8 23.2 Question 15Calculate and interpret a 90% confidence interval for the mean weight loss of the population of obese people following the programme (rounded off to two decimals). Question 16The psychologist claims that obese people participating in her psychotherapy programme will have an average weight loss more than 20.5 kilograms. Test the psychologist claim at a 1% level of significance (rounded off to two decimals).
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
A company manufactures printers and fax machines at plants located in Atlanta, Dallas, and Seattle. To measure how much employees at these plants know about quality management, a random sample of 6 employees was selected from each plant and the employees selected were given a quality awareness examination. The examination scores for these 18 employees are shown in the following table. The sample means, sample variances, and sample standard deviations for each group are also provided. Managers want to use these data to test the hypothesis that the mean examination score is the same for all three plants. Plant 1Atlanta Plant 2Dallas Plant 3 Seattle 85 71 59 75 75 64 82 73 62 76 74 69 71 69 75 85 82 67 Samplemean 79 74 66 Samplevariance 34.0 20.0 32.0 Samplestandarddeviation 5.83 4.47 5.66 Set up the ANOVA table for these data. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.)…

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