Suppose the HR manager of a company is interested in determining whether there is adifference in employee satisfaction across three different office locations. Theyrandomly select 20 employees and ask each employee to rate their satisfaction witheach office location on a scale of 1 (very dissatisfied) to 5 (very satisfied). The data arepresented below:Employee123st4LO567 ∞8910111213141516171819ܘܗ20Office LocationLocationA4слор3524435PNU24424Location LocationBC25435243435253 5 3 5 3 45~ 34 35 3543 5 3 5 42432432ышриш524352242 (a)(b)(c)(d)What is the variable of interest? Is it qualitative or quantitative? If it is qualitative,is it ranked or unranked? If it is quantitative, is it discrete or continuous? What isits level of measurement? What is the experimental design? Explain your answers.Do these data provide sufficient evidence to indicate at the 5% significance levelthat the three models are not equally preferred? State the hypotheses, perform theappropriate test with R, report the observed test statistic, make a statisticaldecision, and draw the implied conclusion. Provide both code and printout from R.Calculate the test statistic manually for the test you performed with R in part (b).Does your test statistic match the one reported by R?What are the requirements of the test you performed in parts (b) and (c)? Are theysatisfied this time, or do you have to assume that they are met? Provide evidenceto support these conclusions.

One-way analysis of variance (ANOVA) is a statistical technique used to determine whether there are…

Answered: (a) (b) (c) (d) What is the variable of…

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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Use Excel’s Data Analysis tool to conduct a multiple regression, using Risk of Stroke as the dependent variable, and all the rest of variables as independent variables. Choose confidence level at 99%. Risk of Stroke (%) Age Pressure Smoker (Yes=1) 12 57 152 0 24 67 163 0 13 58 155 0 56 86 177 1 28 59 196 0 51 76 189 0 18 56 155 1 31 78 120 0 37 80 135 1 15 78 98 0 22 71 152 0 36 70 173 1 15 67 135 1 48 77 209 0 15 60 199 0 36 82 119 1 8 66 166 0 34 80 125 1 3 62 117 0 37 59 207 1 Interpret the multiple coefficient of determination R-square. Compare the R-square of the simple linear regression and the R-square of the multiple regression, what does the differences in R-squares tell us? What does F-test for significance tell us?
2. A law school releases admissions data from past years. The median score on the LSAT for accepted students was 167. (Scores on the LSAT range from 120 to 180 points.) The first and third quartiles of LSAT scores for accepted students were 155 and 173 points, respectively. (a) Roughly sketch a histogram for what the LSAT scores for accepted students might look like based on the information given. (b) Suppose you are applying to this law school, and you read about an experiment for a new LSAT test-preparation course. Two hundred students participated. Of these, 100 were randomly chosen to take the course. They got an average score of 166 points, with an SD of 17 points. The other 100 students did not take the course and studied on their own. They got an average score of 165 points, with an SD of 18 points. Calculate the two-sample z test statistic and p-value for the null hypothesis that the course does not affect scores.
2. Recovering from surgery: A new postsurgical treatment was compared with a stan- dard treatment. Seven subjects received the new treatment, while seven others (the controls) received the standard treatment. The recovery times, in days, are given below. Can you conclude that the mean recovery time for those receiving the new treatment is less than the mean for those receiving the standard treatment? Use the a = 0.05 level. Treatment: Control: H₁: 12 18 (a) List the null and alternate hypetheses. Ho : (c) List the P-value. 13 23 (d) Make the comparison. 15 24 19 30 20 32 (b) List the distribution, the test statistic, the calculator program, and all input and output variables. 21 35 We reject Ho / We do not reject Ho (circle one) (e) State the final conclusion in the wording of the problem. 24 39
Help please! (b) Despite the results being statistically significant, the authors stated in their article about the first study: "The field study did not support an examination of why more creative store windows led consumers to enter the stores. … The use of actual retailers' real store windows meant that the level of creativity was not the only variable that differed among the retailers and their windows." How does the second study address some of those drawbacks? Does either study suffer from a lack of realism? Choose the best explanation. A) The drawbacks in the first study were that it was an observational study and that it did not control for confounding variables (such as variations in merchandise and potential customers). The second study addresses these drawbacks by using the same retailer and the same merchandise, and by only changing the creativity of the window display. Neither study suffers from a lack of realism, since statistically significant results were…
How would you explain question a in detail?

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