MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- An instructor in a statistics course set a final exami- nation and also required the students to do a data analysis project. For a random sample of 10 students, the scores obtained are shown in the table. Find the sample correlation between the examination and proj- ect scores. Examination 81 62 74 78 93 69 72 83 90 84 Project 76 71 69 76 87 62 80 75 92 79arrow_forwardA television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 37 46 59 83 225 No 213 204 191 167 775 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…arrow_forwardAsk a Question | bartleby Karnataka Board Class 11th Stat × Karnataka Board Class 11th Stat × + I selfstudys.com/books/karnataka/state-books/class-11th/statistics/statistics-part-1/328854 34. In a sample study regarding smoking habit in a town, the following data were obtained: Men population = 58% Smokers = 22% Men smokers = 18% 1 Tabulate the above data. Join Whatsapp For Exclusive Content Search 89/100 myhp Join Telegram For Exclusive Content 0 1 x 21:58 ENG IN 20-08-2024 PREarrow_forward
- A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 49 59 61 84 253 No 201 191 189 166 747 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…arrow_forwardA marketer is examining the effectiveness of color scheme on the willingness to subscribe to a user's social media account. She creates three different profiles using three different color schemes: red, blue, and green. Twenty participants are asked to evaluate how much they like each of the profiles using a scale of 1 (do not like) to 5 (like a lot). What statistical procedure should you use to analyze these data? O independent groups t test O correlated groups t test O One Way Between Subjects ANOVA O One Way Repeated Measures ANOVAarrow_forwardA 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 Femalearrow_forward
- Last school year, the student body of a local university consisted of 35% freshmen, 24% sophomores, 26% juniors, and 15% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classification. Freshmen 90 Sophomores 60 Juniors 90 Seniors 60 We are interested in determining whether or not there has been a significant change in the classifications between the last school year and this school year. The calculated value for the test statistic equals a. 0.5444 b. 2.789 c. 10.989 d. 15.231arrow_forwardIs there an association between hair color and body type? The table below shows the results of a researcher's observations of randomly selected people. Frequencies of Hair Colors for Various Body Types Blonde Brunette Red Head 71 80 96 108 55 115 46 91 Short and Slender Short and Pudgy Tall and Slender Tall and Heavy What can be concluded at the o= 0.01 significance level? 53 74 69 63arrow_forward
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