TABLE 1The director of cooperative education at a state college wants to examine the effect ofcooperative education job experience on marketability in the work place. She takes a randomsample of 4 students. For these 4, she finds out how many times each had a cooperativeeducation job and how many job offers they received upon graduation. These data are presentedin the table below.StudentСооplobsJobOffer11426131N34 B. Least Squares method: a) Show the slope of the lineb) y-interceptc) Equation of the regression lined) SSEe) If coop jobs is 3 for the fifth student, what is the valueof the job offer?

The independent variable is Coop Jobs. The dependent variable is Job Offer. This is simple linear…

Answered: The director of cooperative education…

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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2. A researcher conducts a study examining the effectiveness of a group exercise program at an assisted living facility for elderly adults. One group of residents is selected to participate in the program, and a second group serves as a control. After 6 weeks, the researcher records a combined score measuring balance and strength for each individual. The data are as follows: Control n = 10 M = 12 SS = 120.5 Exercise n = 15 M = 15.5 SS = 190.0 Conduct the four steps for hypothesis testing and label a. Use a two-tailed test with a = .05. each step: Step1, Step 2, Step 3, and Step 4. b. Calculate Cohen's d. c. Are the data sufficient to conclude that thier is a significant difference? Write your answer in the form of a sentence.
Based on 2017 sales, the six top-selling compact cars are the Honda Civic, Toyota Corolla, Nissan Sentra, Hyundai Elantra, Chevrolet Cruze, and Ford Focus.+ The 2017 market shares are: Honda Civic 20%, Toyota Corolla 17%, Nissan Sentra 12%, Hyundai Elantra 10%, Chevrolet Cruze 10%, and Ford Focus 8%, with other small car models making up the remaining 23%. Suppose a sample of 400 compact car sales in a certain large city showed the following number of vehicles sold. Honda Civic 97 Toyota Corolla 73 Nissan Sentra 53 Hyundai Elantra 43 Chevrolet Cruze 43 Ford Focus 24 Others 67 Use a goodness of fit test to determine if the sample data indicate that the market shares for compact cars in the city are different than the market shares suggested by nationwide 2017 sales. Use a 0.05 level of significance. State the null and alternative hypothesis. O H,: The market shares for the compact cars in the city do not differ from market shares nationwide. H: The market shares for the compact cars in…
Suppose a researcher is interested in examining the relationship between a person's gender and whether he or she likes the taste of Vegemite (a dark- brown food paste, made from yeast, that is popular in Australia). She collects a sample of n = 10 people and asks them whether they like the taste of Vegemite. The following table summarizes the results. Male Female Does Not Like the Taste of Vegemite 4 1 Likes the Taste of Vegemite 2 3 The researcher wants to calculate the correlation between a person's gender and whether he or she likes the taste of Vegemite. To do so, the researcher first creates a table of the data by converting each variable to a numerical value. She assigns 0 to "male" and 1 to "female." She then assigns 0 to "does not like the taste of Vegemite" and 1 to "likes the taste of Vegemite."
The table below shows the auto insurance quotes for two leading companies for a sample of 15 families. Assume the populations SDs are similar, but unknown. The President of the American Insurance Institute wants to compare the yearly costs of such insurance offered by the two companies. At the 0.10 level of significance, can we conclude that there is a difference in the amounts quoted? Families Southern Car American Mutual ($) ($) 1 2090 1610 2 1683 1247 3 1402 2327 4 1830 1367 5 930 1461 6 697 1789 7 1741 1621 8 1129 1914 9 1018 1956 10 1881 1772 11 1571 1375 12 874 1527 13 1579 1767 14 1577 1636 15 860 1188
In a US presidential election, the incumbent president wins with 51.5% of the vote to 48.2% for the primary challenger (and .3% to others). In a nationwide telephone poll of 1000 people conducted exactly one week before the election by a university polling group, 49% of people polled supported the incumbent president, 50% supported the challenger, and 1% supported other candidates. a. For the polling study, what was the population of interest? b. What was the sample? c. Why did the sample results differ from the population? d. What are two constants that might have limited the generalizability of the polling results?
(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.
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Cable TV choices: A telecommunications company provided its cable TV subscribers with free access to a new sports channel for a period of 1 month. It then chose a sample of 404 television viewers and asked them whether they would be willing to pay an extra $10 per month to continue to access the channel. A total of 35 of the 404 replied that they would be willing to pay. The marketing director of the company claims that the percentage of all of its subscribers who would pay for the channel differs from 6%. Can you conclude that the director's claim is true? Use the a=0.10 level of significance and the P-value method with the table. Part: 0 / 4 Part 1 of 4 (a) State the appropriate null and alternate hypotheses. Ho : H₁ : This hypothesis test is a (Choose one) ▼ test. Part: 1 / 4 Part 2 of 4 P-value= Part: 2 / 4 Part 3 of 4 (b) Compute the P-value. Round the answer to at least four decimal places. (c) Determine whether to reject Ho. (Choose one) Part: 3 / 4 Part 4 of 4 X (d) State a…
A small college has been accused of gender bias in its admissions to graduate programs. a. Out of 500 men who applied, 255 were accepted. Out of 700 women who applied, 240 were accepted. Find the acceptance rate for each gender. Does this suggest bias? b. The college then looked at each of the two departments with graduate programs and found the data below. Compute the acceptance rate within each department by gender. Does this suggest bias? Department Men Women Applied Admitted Applied Admitted Dept A 400 240 100 90 Dept B 100 15 600 150 c. Looking at our results from Parts a and b, what can you conclude? Is there gender bias in this college’s admissions? If so, in which direction?
The following table shows a weighted score card your company uses to compare projects against each other. A team of experts reviewed the business cases for three projects and gave them scores on a scale of 1 to 5 in each particular area. Criteria Weight Proj A Proj B Proj C Project A Weighted Score Project B Weighted Score Project C Weighted Score Strategic Alignment 5 5 2 4 ROI 4 3 5 1 Stakeholder Interest 2 2 2 5 Low Risk 1 4 2 1 Legal Compliance 3 3 5 4 What is the total weighted score for each project? (3 points) What is the average weighted project score for each project? (3 points) Which project should you choose and why? (3 points)
A researcher wants to study the relationship between salary and gender. She randomly selects 392 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000$⁢25,000 48 45 93 $25,000$⁢25,000-$50,000$⁢50,000 38 36 74 $50,000$⁢50,000-$75,000$⁢75,000 46 40 86 Above $75,000$⁢75,000 68 71 139 Total 200 192 392 State the conclusion of the hypothesis test at the 0.010.01 level of significance.

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