A common final examination was administered to each student enrolled in Sociology 1 Introduction t Sociology. Students enrolled in daytime, evening, and online sections of this course were randomly selected, and their final examination scores were recorded. The sample data are compiled below. Section Final Examination Scores of Students in Sociology 1 Introduction to Sociology Daytime 86 77 64 88 81 75 90 78 59 66 Evening 76 53 86 65 85 84 74 61 89 70 Online 78 86 54 60 47 70 62 78 93 65 Conduct a hypothesis test, at the 5% level of significance, to determine whether the mean final examination score of Sociology 1 students enrolled in daytime, evening, and online sections are all equal.

A common final examination was administered to each student enrolled in Sociology 1 Introduction t Sociology. Students enrolled in daytime, evening, and online sections of this course were randomly selected, and their final examination scores were recorded. The sample data are compiled below. Section Final Examination Scores of Students in Sociology 1 Introduction to Sociology Daytime 86 77 64 88 81 75 90 78 59 66 Evening 76 53 86 65 85 84 74 61 89 70 Online 78 86 54 60 47 70 62 78 93 65 Conduct a hypothesis test, at the 5% level of significance, to determine whether the mean final examination score of Sociology 1 students enrolled in daytime, evening, and online sections are all equal.

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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For a certain year, SAT Verbal scores for 15 randomly selected high schools in urban and suburban areas in the United States are given below. Urban 565 550 549 536 535 535 522 516 504 497 495 489 445 444 435 Suburban 575 563 540 529 528 507 504 498 482 476 472 463 431 412 375 Is there a statistically significant difference in the average SAT Verbal scores for the two areas?
Health insurer benefits vary by the size of the company. The sample data below show the number of companies providing health insurance for small, medium, and large companies. For the purpose of this study, small companies are companies that have fewer than 100 employees. Medium-sized companies have 100 to 999 employees, and largevcompanies have 1000 or more employees. The questionnaire sent to 225 employees asked whether or not the employee had health insurance and then asked the employee to indicate the size of the company. Health Insurance Size of company Yes No Total Small. 35 15 50 Medium 67 8 75 Large 87 13 100 A. Conduct a test of independence to determine whether health insurance coverage is independent of the size of the company. What is the p-value? Compute the value of the x2 test statistic (to 2 decimal)
A government agency computed the proportion of U.S. residents who lived in each of four geographic regions in a particular year. Then a simple random sample was drawn of 1000 people living in the United States in the current year. The following table presents the results. Region Past YearProportion ObservedCounts Northeast 0.171 150 Midwest 0.245 235 South 0.357 398 West 0.227 217 Send data to Excel Can you conclude that the proportions of people living in the various regions changed between the current year and the past year? Use the 0.05 level of significance and the P-value method with the TI-84 Plus calculator. What the P value?
How many samples or treatments are here? 490 undergraduate students at a state university in the southwestern region of the United States were surveyed. Each student in the sample was classified according to class standing (freshman, sophomore, junior, or senior) and body are category (body piercings only, tattoos only, both tattoos and body piercings, no body art). Use the data in the accompanying table to determine if there is an association between class standing and body art category. Assume that it is reasonable to regard the sample as representative of the students at this university. Use α = 0.01. Freshman Sophmore Junior Senior Body Piercings 61 7 14 86 Only Tattoos 43 11 10 64 Only Mildly Piercings and Tattoos 20 9 7…
Eight students are selected randomly, and their present graduate GPA is compared to their undergraduate GPA and Scores on standardized tests. The data are shown below: Present 3.89 3.03 3.34 3.85 3.93 3.06 3.69 3.91 GPA Undergr 3.77 2.75 3.11 3.75 4 2.92 3.7 3.88 GPA Std. 700 460 550 690 720 420 670 670 Scores a. Write the regression equation, letting undergraduate GPA be x1 and standard scores be x2. X2. b. Is the model useful in calculating the present graduate GPA of a student? Use a = 0.05, State the null and alternative hypothesis. Provide the complete Regression Analysis.
The General Social Survey is an annual survey given to a random selection of about 1500 adults in the United States. Among the many questions asked are "What is the highest level of education you've completed?" and "If you're employed full-time, how many hours do you spend working at your job during a typical week?" In a recent year, 1079 respondents answered both questions. The summary statistics are given in the chart below. (The sample data consist of the times, in hours per week, that were given by the respondents.) Sample Sample Sample size Groups mean variance Less than h.s. High school Bachelor's 258 40.9 101.8 263 41.8 97.5 270 42.2 94.4 Graduate 288 43.0 98.7 Send data to calculator Send data to Excel To decide if there are any differences in the mean hours per week worked by these different groups, we can perform a one-way, independent-samples ANOVA test. Such a test uses the following statistic. Variation between the samples F= Variation within the samples For the data from…
A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)
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The safety director of a large steel mill took samples at random from company records of minor work-related accidents and classified them according to the time the accident took place. Time Number of Accidents Time Number of Accidents 8 up to 9 a.m. 10 1 up to 2 p.m. 11 9 up to 10 a.m. 9 2 up to 3 p.m. 12 10 up to 11 a.m. 12 3 up to 4 p.m. 7 11 up to 12 p.m. 6 4 up to 5 p.m. 11 Click here for the Excel Data File Using the goodness-of-fit test and the 0.10 level of significance, determine whether the accidents are evenly distributed throughout the day. H0: The accidents are evenly distributed throughout the day.H1: The accidents are not evenly distributed throughout the day. a. State the decision rule, using the 0.10 significance level. (Round your answer to 3 decimal places.) b. Compute the value of chi-square. (Round your answer to 3 decimal places.) c. What is your decision regarding H0?
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A J.D. Power and Associates vehicle quality survey asked new owners a variety of questions about their recently purchased automobile. One question asked for the owner's rating of the vehicle using categorical responses of average, outstanding, and exceptional. Another question asked for the owner's education level with the categorical responses some high school, high school graduate, some college, and college graduate. Assume the sample data below are for 500 owners who had recently purchased an automobile. Education Quality Rating Some HS HS Grad Some College College Grad Average 30 30 20 60 Outstanding 50 50 50 90 Exceptional 20 20 30 50 a. Use a 0.05 level of significance and a test of independence to determine if a new owner's vehicle quality rating is independent of the owner's education. Compute the value of the x test statistic (to 2 decimals). Use Table 3 of Appendix B to find the p-value. The p-value is - Select your answer - What is your conclusion? - Select your answer - v…