The data from a simple random sample with 25 observations was used to construct the plots given below. The normal probability plot that was constructed has a correlation coefficient of 0.943. Judgewhether a t-interval could be constructed using the data in the sample.Click here to view the normal probability plot and the boxplot.Click here to view the table of critical values of the correlation coefficient.The normal probability plot(Round to three decimal places as needed.)the data could come from a normal population because 0.943and the boxplotoutliers, so a t-interval-be constructed. Normal Probability Plot and BloxplotExpected Z-Score2--2--20to-10 010 20Data30 40 50 60PrintQDone10203040-XCritical Values of the Correlation CoefficientTable of Critical Valuesof the Correlation Coefficientwith Normal Probability PlotsSample Size, n Critical Value50.88060.88870.89880.90690.912100.918110.923120.92813141516171819200.9320.9350.9390.9410.9440.9460.9490.951X

Sample size, n = 25Sample correlation coefficient, r = 0.943The question provides the critical…

Answered: The data from a simple random sample…

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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It is generally believed that there is a relationship between a college’s acceptance rate and its graduation rate. I wanted to know how strong this relationship is within the top universities in the country so I collected the graduation rate and acceptance rate data of a randomly selected sample of universities from all the top U.S. universities (with an acceptance rate at or below 30%). The data set is in Tab Q2 of the Excel data file. a.) Create a scatter plot between the two variables using Excel. Paste the plot here and format it into an APA-styled “figure” (see Assignment Guides for APA format).Be sure to submit the Excel file that you used to create the scatter plot. b) Calculate the mean and standard deviation for the two variables separately. c) Calculate the Z scores for all the scores of the two variables, separately.Tips: It may help to prevent error and to increase clarity if the process and/or the answers (z scores) are listed in a table format. d) Calculate…
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