Q5. To compare the customer satisfaction levels of two competing companies, 174customers of company 1 and 355 customers of company 2 were randomlyselected and were asked to rate the companies as a five point scale. The surveyresults are summarized in the following table.Company 2n2 = 355X= 3.24S2 = 0.52Test the hypothesis that the customer satisfactions about the two companies areCompany 1n1 = 174X= 3.51S1 = 0.51%3Dsame at the level of significance 0.05.Q6. Entry and exit for a hypermarket is via one of four gates. The number of customersentering and leaving the hypermarket is counted at each gate for a week time isgiven in the following table.Gate 4380GateGate 1Gate 2Gate 3Number ofCustomersUse Chi-square test for goodness of fit, test the hypothesis that the number ofcustomers using each of the four gates are equal at a = 0.05.327402351

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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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Back in April and May of 1985, the Gallup organization conducted a poll to estimate the percentage of Americans who approved of how President Reagan was handling his job. At the 5% significance level, do the data suggest that the percentage of those who approved of Reagan increased from April to May in 1985? Population 1: April p = 795/1528 = 0.5203Population 2: May p = 840/1528 = 0.5497Show all your steps, setting up your null and alternative hypothesis.
The unemployment rates during a 10-year period in a country are as follows 12.7%,30.2%,10.6%,11.9%,10.6%,12.3%,11.2%,1 3.5%,12.8%,11.5% The value of Q1+Q3-2Q2Q3-Q1, in this data set, is Select one: 0.175 0.275 -0.125 -0.225 None
GSS 2018 respondents were asked to rate their level of agreement to the statement, “Differences in income in America are too large.” Responses were measured on a 5-point scale: 1 = strongly agree, 2 = agree, 3 = neutral, 4 = disagree, and 5 = strongly disagree. Strong Democrats had an average score of 1.69 (s = 1.04, N = 86) while strong Republicans had an average score of 2.11 (s = 1.05, N = 67). The estimated standard error of the difference between meansis 0.17. What is the appropriate test statistic? Why? Test the null hypothesis with a one-tailed test (strong Democrats are more likely to agree with the statement than strong Republicans); α = .05. What do you conclude about the difference in attitudes for these two political groups? If you conducted a two-tailed test with α = .05, would your decision have been different?
A recent study looked at the relationship between condom use and the spread of AIDS, by following heterosexual couples in which one partner was infected with HIV. The couples were classified by their condom use. Of the 98 couples who always used condoms, 4 partners became infected with HIV. Of the 67 couples who did not always use condoms, 11 partners became infected. Test whether the proportions of partners who became infected with HIV are different for each group, using a 5% level of significance. Give each of the following: 1) the appropriate null and alternative hypotheses; 2) the appropriate test; 3) the decision rule; 4) the calculation of the test statistic; and 5) your conclusion including a comparison to alpha or the critical value. You MUST show your work
Job Satisfaction. A study reported in the Journal of Small Business Management concluded that selfemployed individuals do not experience higher job satisfaction than individuals who are not selfemployed. In this study, job satisfaction is measured using 18 items, each of which is rated using a Likerttype scale with 1–5 response options ranging from strong agreement to strong disagreement. A higher score on this scale indicates a higher degree of job satisfaction. The sum of the ratings for the 18 items, ranging from 18 to 90, is used as the measure of job satisfaction. Suppose that this approach was used to measure the job satisfaction for lawyers, physical therapists, cabinetmakers, and systems analysts. The results obtained for a sample of 10 individuals from each profession follow. SatisJob Lawyer Physical Therapist Cabinetmaker Systems Analyst 44 55 54 44 42…
(ii) The lecturer wishes to compare the average scores for Business Statistics between the accounting students and the finance students. He records the marks of a group of 8 students from each course in the following table. Student Accounting course Finance course 78 54 56 95 3 67 68 4 49 71 88 82 76 7 8 62 74 86 85 57 Test at 5% level of significance whether the average score for Business Statistics is different between accounting students and finance students.
A test is being designed to compare the wearing quality of two brands of tires, say brand A and brand B. Six automobiles will be selected and equipped with the new tires from both brands and driven under normal conditions for 1 month. A measurement will be taken to determine how much wear took place on a scale from 0 to 200. Below is a table of the paired data collected from the 6 cars in the test. [BrandA BrandB] 125 64 64 65 94 103 38 37 90 102 106 115 Conduct a hypothesis test to determine whether the mean of the difference population is 0 at a significance level of a =. State your conclusion.
Calculate the measures of central tendency for the grouped data and the measures of dispersion for the grouped and ungrouped data.After computing the measures of central tendency and dispersion, interpret the results.In a 50-question midterm exam, 40 students from the subject Creative Leadership at Angeles City University have their scores recorded. Given: r = 35 Class Interval = 6 i = 6 Lowest value = 13 and Highest value = 48 Data: Number Student’s name Midterm exam score 1 Olivia 18 2 Liam 23 3 Emma 18 4 Noah 18 5 Ava 19 6 Oliver 25 7 Sophia 25 8 Ethan 19 9 Isabella 19 10 Lucas 24 11 Mia 13 12 Mason 13 13 Charlotte 26 14 Benjamin 13 15 Amelia 27 16 William 15 17 Harper 26 18 James 17 19 Evelyn 20 20 Henry 20 21 Abigail 27 22 Sebastian 27 23 Emily 22 24 Alexander 28 25 Elizabeth…
Q5. To compare the customer satisfaction levels of two competing companies, 174 customers of company 1 and 355 customers of company 2 were randomly selected and were asked to rate the companies as a five point scale. The survey results are summarized in the following table. Company 2 n2 = 355 Xz= 3.24 S2 = 0.52 Test the hypothesis that the customer satisfactions about the two companies are Company 1 n1 = 174 X = 3.51 S = 0.51 %3D same at the level of significance 0.05. Q6. Entry and exit for a hypermarket is via one of four gates. The number of customers entering and leaving the hypermarket is counted at each gate for a week time is given in the following table. Gate Number of Customers Use Chi-square test for goodness of fit, test the hypothesis that the number of customers using each of the four gates are equal at a = 0.05. Gate 1 Gate 2 Gate 3 Gate 4 327 402 351 380
You are a manager for Company ABC and decide to compile data and analyze your employees’ level of satisifaction. You create a survey to ask each employee to rate their level of satisfaction working at Company ABC. Table 1 shows data of 15 people employees that responded to your survey. Each of the employees have the same job title: Sales Representative. The data set includes variables regarding an employee ID, gender, ethnicity, region, pay rate, employee satisfaction rating. Each employee was asked to rate their level of satisfaction working at Company ABC. A composite score from 0 (lowest) to 5 (highest) is shown as the data variable employee satisfaction. Table 1: Employee Data on 15 Sales Representatives at Company ABC
A research study concluded that self-employed individuals do not experience higher job satisfaction than individuals who are not self-employed. In this study, job satisfaction is measured using 18 items, each of which is rated using a Likert-type scale with 1–5 response options ranging from strong agreement to strong disagreement. A higher score on this scale indicates a higher degree of job satisfaction. The sum of the ratings for the 18 items, ranging from 18–90, is used as the measure of job satisfaction. Suppose that this approach was used to measure the job satisfaction for lawyers, physical therapists, cabinetmakers, and systems analysts. Suppose the results obtained for a sample of 10 individuals from each profession follow. Lawyer Physical Therapist Cabinetmaker Systems Analyst 46 53 56 42 40 78 65 71 74 80 81 73 42 88 67 62 53 62 81 66 50 59 66 64 45 60 61 39 50 50 80 55 62 53 84 74 36 50 58 62 At the ? = 0.05 level of significance, test for any…

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