1. An educator believes that students choosing to major in mathematics, engineering, chemistry, economics, and philosophy have the same average ACT scores in the population. A random sample of students majoring in mathematics (X1), engineering (X2), chemistry (X3), economics (X4), and philosophy (X5) is taken and each are asked to report their ACT scores. The results are provided below: X1 X2 X3 X4 X5 28 33 28 35 28 21 36 21 18 23 22 26 30 27 22 22 24 19 20 27 32 30 27 27 19 30 26 30 24 23 25 28 22 20 20 29 17 21 26 23 20 20 26 24 26 Use the Analysis of Variance technique to test the educator's claim at the 0.05 level. s)

1. An educator believes that students choosing to major in mathematics, engineering, chemistry, economics, and philosophy have the same average ACT scores in the population. A random sample of students majoring in mathematics (X1), engineering (X2), chemistry (X3), economics (X4), and philosophy (X5) is taken and each are asked to report their ACT scores. The results are provided below: X1 X2 X3 X4 X5 28 33 28 35 28 21 36 21 18 23 22 26 30 27 22 22 24 19 20 27 32 30 27 27 19 30 26 30 24 23 25 28 22 20 20 29 17 21 26 23 20 20 26 24 26 Use the Analysis of Variance technique to test the educator's claim at the 0.05 level. s)

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Description: 1. An educator believes that students choosing to major inmathematics, engineering, chemistry, economics, andphilosophy have the same average ACT scores in thepopulation. A random sample of students majoring inmathematics (X1), engineering (X2), che

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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You are responsible for a data analysis exercise in your first job (as a data analyst) after graduating and have downloaded some associated reports. Your first task requires you to write a data dictionary and determine what type of variable the data you are dealing with relates to. Which of the following are categorical variables? Select one: a. The number of marks out of 10 that an employee obtained on the company’s information technology training. b. The number of employees in each division c. The number of years of service of each employee. d. The employee’s tax file number. e. The pro-rata income for all employees within the business/finance division.
Twenty students in a group of 40 at Dawn High elect for a course in statistics (St. Eleven students take up linear algebra (L). Five students enrolled for both courses. Represent the data in the Venn diagram below.
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3. The director of library services at Fairmont College did a survey of types of books (by subject) in the circulation library. Then she used library records to take a random sample of 4217 books checked out last term and classified the books in the sample by subject. The results are shown below. Subject Area % Books in Circ Library on this Subject No. of Books in the Sample on this Subject Business 32% 1210 Humanities 25% 956 Natural Science 20% 940 Social Science 15% 814 Other Subject 8% 297 Using a 5% level of significance, test the claim that the subject distribution of books in the library fits the distribution of books checked out by students.
3) Reynoldsburg surveys their high schoolers. They found 60% of students had cheated on a test and 80% of those who cheated felt guilt about it. What percent of all high schoolers in Reynoldsburg have both cheated and felt guilty about it?
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The Ministry of Manpower conducted an analysis of retail workers. A random sample of workers was asked a series of questions regarding workplace satisfaction and personal circumstances. Some of the variables and their definitions were as follows: AGE: GENDER: SALARY: POSITION: SERVICE: TRAVELTIME: the age of the worker (in years). the worker's gender. the worker's annual salary (in dollars). the worker's occupation within the industry, coded as 1= Sales Assistant, 2=Supervisor, 3-Manager. the length of service with current employer (recorded in days) the time the worker took to travel to work on their last work day before the interview (in minutes).
Political parties want to know what groups of people support them. The General Social Survey (GSS) asked its 2014 sample, "Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what?" The GSS is essentially an SRS of American adults. The large two‑way table provided breaks down the responses by the highest degree the subject held. None High School Jr. College Bachelor Graduate Strong Democrat 53 198 23 81 64 Not strong Democrat 52 204 31 70 49 Independent, near Democrat 40 163 26 66 42 Independent 118 251 36 67 30 Independent, near Republican 24 136 19 45 2525 Not strong Republican 19 142 30 71 30 Strong Republican 18 131 15 53 28 Other party 5 31 3 15 8 Use the four‑step process and the full table of counts to analyze the differences in political party support among levels of education. The sample is so large that the differences are bound to be highly significant, but provide the chi‑square statistic and its P‑value…
You may need to use the appropriate technology to answer this question. During the first 13 weeks of the television season, the Saturday evening 8:00 p.m. to 9:00 p.m. audience proportions were recorded as ABC 31%, CBS 26%, NBC 27%, and independents 16%. A sample of 300 homes two weeks after a Saturday night schedule revision yielded the following viewing audience data: ABC 97 homes, CBS 68 homes, NBC 91 homes, and independents 44 homes. Test with a = 0.05 to determine whether the viewing audience proportions changed. State the null and alternative hypotheses. 0.31, PCBS = 0.26, PNBC = 0.27, PIND 0.27, PIND = 0.16. Ho: : The proportions are not pPABC Наi РАВС 3 0.31, РсвS 0.26, PNBC 0.16 0.27, 0.16 Но: РАВС 0.31, Рсвs 3D 0.26, Наi РАВС + 0.31, РсвS PNBC + 0.26, PNBC ± 0.27, , PIND + 0.16 Ho: PABC + 0.31, PCBS + 0.26, PNBC + 0.27, PIND + 0.16 0.26, PNBC 0.27, PIND = 0.16 %D На РАВС - 0.31, РсBs 0.26, PNBC 0.27, PIND 0.16 Нo: РАВС - 0.31, РсBS H: The proportions are not PABC 0.16. 0.31,…