To compare customer satisfaction levels of two competing cable television companies, 174customers of Company 1 and 355 customers of Company 2 were randomly selected and wereasked to rate their cable companies on a five-point scale, with 1 being least satisfied and 5 beingmost satisfied.Thesurveyresults are summarized in the following table.Company 1Company 2= 174n2 = 355I1 = 3.51T2 = 3.24S1 = 0.51S2 = 0.52It is desired to test, at a 0.01 level of significance, whether the data provide sufficient evidence toconclude that Company 1 has a higher mean satisfaction rating than does Company 2.Let u1 and u2 denote the population mean satisfaction ratings for Company 1 and Company 2,respectively.We consider the hypotheses: Ho : µ1 - H2 = 0 versus H1: 1- P2 > 0.%3DThe value of the test statistic is(Write your answer precise to two decimalplaces, e.g., 1.78, 2.56, -3.71, 0.35.)The data(write "do" or "do not") provide sufficient evidence, at the 0.01 levelof significance, that the mean customer satisfaction for Company 1 is higher than that forCompany 2.

We have given that Sample size n1=174 , n2= 355 Sample mean xbar1 = 3.51 , xbar2 = 3.24 Standard…

Answered: To compare customer satisfaction levels…

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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1) A series of experiments were conducted to determine the effect of air voids on percentage retained strength of asphalt. For purposes of the experiment, air voids are controlled at three levels; low (1-3%), medium (4-6%), and high (7-9%). The data are shown in Table 1. Do the different levels of air voids significantly affect mean retained strength? Use a = 0.05. Table 1: Results of the air voids effect on percentage retained strength of asphalt Air Voids Low Medium High 106 80 78 90 69 80 Retained Strength (%) 103 94 62 90 91 69 79 70 76 88 83 85 92 87 69 95 83 85
Mr. Acosta, a sodiologist, is doing a study to see ifr there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age 18-23 yr 24-29 yr Drama 15 34 Science Fiction 14 10 6 30 6. Movie 30-35 vr Row Total Comedy 10 | Column Total 9 10 29 31 93 32 30 A USE SALT new window for the SALT program (a) What is the level of arymLaner State the null and alternate hypotheses. OH: Age and movie preference are not independent H,: Age and movie preference are not independent. O H: Age and movie preference are independent. H,: Age and movie preference are independent. OH: Age and movie preference are not independent. H,: Age and movie preference are independent. O H: Age and movie preference are independent. H.: Age and movie preference are not independent. (b) Find the value of the chi-square statistic…
Consider the following data set: {4, 4, 5, 6, 7, 5, 3, 2} . What is the relative frequency of the value 5? O 25% 10% O 15% O 5%
A sample survey by Comcast asked a random sample of customers about use of the Internet and about the type of community they lived in. Here are the results: Internet Users: Rural: 433 Suburban: 1072 Urban: 536 Nonusers: Rural: 463 Suburban: 627 Urban: 388 Is there a relationship between Internet use and community type? Give statistical evidence to support your findings.
A survey of employees at a large financial organisation was conducted to determine the overall sentiment towards various aspects of how the company operates. 30 randomly selected departments in the organisation participated in the study. Every employee in these 30 randomly selected departments filled in a questionnaire, and the data were aggregated to calculate the following two variables of interest: Rating The percentage of favourable responses (in each department) to the overall running of the company. ComplaintsThe percentage of favourable responses (in each department) to how the company handles employee complaints Source: Chatterjee, S. and Price, B. (1977) Regression Analysis by Example. New York: Wiley. (Section 3.7, p.68ff of 2nd ed. (1991).) A simple linear regression was conducted. A scatter plot of Rating versus Complaints is shown in Figure 1 and the results of the regression analysis are shown in Table 1. Rating 80 70 60 50 40 40 Model 1 Figure 1: Rating versus…
A scientific study was conducted to determine the hours of sleep that college students get per night. The study surveyed 33 college students and obtained the following data: 7.8, 8.1, 5.9, 7.1, 6.9, 8.5, 7.8, 6.2, 6.2, 7.2, 7.1, 7.3, 6.4, 8.3, 7.9, 6.6, 7.4, 6.8, 6.7, 7.2, 5.6, 8.3, 6.6, 6, 5, 7.7, 7, 6.6, 7.8, 6.3, 7.8, 6.3, 7.1 Construct a 87% confidence interval for the average hours of sleep per night that college students get. S = τα Margine of Error: E = hours We are 87% confident that college students get an average of between hours of sleep per night. and Question Help: D Post to forum ||
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A survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, with population 1– population 2, the sample mean difference was d = $870, and the sample standard deviation was s,= $1,125. (a) Formulate the null and alternative hype to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. 0> Prt :°H 0 = Pri :ºH O O Ho: Hdso H: H=0 (b) Calculate the test statistic. (Round your answer to three decimal places.) What is the p-value? (Round your answer to four decimal places.) Can you conclude that the population…
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5t. A magazine reports that women trust recommendations from a particular social networking site more than recommendations from any other social network platform. But does trust in this social networking site differ by gender? The following sample data show the number of women and men who stated in a recent sample that they trust recommendations made on this particular social networking site. Women Men Sample 150 170 Trust RecommendationsMade on the social networking site 111 102 (a) What is the point estimate of the proportion of women who trust recommendations made on this particular social networking site? (b) What is the point estimate of the proportion of men who trust recommendations made on this particular social networking site? (c) Provide a 95% confidence interval estimate of the difference between the proportion of women and men who trust recommendations made on this particular social networking site. (Round your answers to four decimal places.)
The director of student services at Oxnard College is interested in whether women are less likely to attend orientation than men before they begin their coursework. Arandom sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 335 No 314 392 344 What can be concluded at the a = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Select an answer Select an answer v (please enter a decimal and note that Họ: Select an answer p1 and ul represent the proportion and mean for women and p2 and µ2 represent the proportion and mean for men.) H1: Select an answer Select an answer Select an answer | (Please enter a decimal) b. The test statistic (please show your answer to 3 decimal places.) c. The p-value = d. The p-value is ?a e. Based on this, we should Select an answer f.…
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