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I. (5 points) Use R basic operations and built-in functions covered in the class to answer the following question. A college student Ava is interested in comparing the characteristics of two groups. As a data collection, two independent samples are randomly selected. The dataset below is listed as a R command format so that you may copy it and paste in R. The preliminary research indicated that their populations are normally distributed. data1 = c(9.1, 3.6, 5.3, 5.9, 7.0, 8.5, 10.7, 11.8, 13.9, 16.6, 17.9, 10.1) data2 = c(19.8, 10.4, 13.3, 16.1, 17.9, 18.4, 19.6, 20.9, 21.9, 23.8, 25.5) As one of inferences, test hypothesis that the variability of datal is greater than that of data2. Use 5% level of significance to perform five steps procedure covered in the lecture. Step 1) Make Hypotheses: Ho: Step 2) Compute Test Statistic: Include R commands only you used. TS= Ha: Step 3) Find Critical Value and Rejection Region: Include R commands only you used. Step 4) Declare the result by Decision Rule (DR): Step 5) Interpret the result in Step 4:

I. (5 points) Use R basic operations and built-in functions covered in the class to answer the following question. A college student Ava is interested in comparing the characteristics of two groups. As a data collection, two independent samples are randomly selected. The dataset below is listed as a R command format so that you may copy it and paste in R. The preliminary research indicated that their populations are normally distributed. data1 = c(9.1, 3.6, 5.3, 5.9, 7.0, 8.5, 10.7, 11.8, 13.9, 16.6, 17.9, 10.1) data2 = c(19.8, 10.4, 13.3, 16.1, 17.9, 18.4, 19.6, 20.9, 21.9, 23.8, 25.5) As one of inferences, test hypothesis that the variability of datal is greater than that of data2. Use 5% level of significance to perform five steps procedure covered in the lecture. Step 1) Make Hypotheses: Ho: Step 2) Compute Test Statistic: Include R commands only you used. TS= Ha: Step 3) Find Critical Value and Rejection Region: Include R commands only you used. Step 4) Declare the result by Decision Rule (DR): Step 5) Interpret the result in Step 4:

MATLAB: An Introduction with Applications
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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I. (5 points) Use R basic operations and built-in functions covered in the class to answer the following question. A college student Ava is interested in comparing the characteristics of two groups. As a data collection, two independent samples are randomly selected. The dataset below is listed as a R command format so that you may copy it and paste in R. The preliminary research indicated that their populations are normally distributed. data1 = c(9.1, 3.6, 5.3, 5.9, 7.0, 8.5, 10.7, 11.8, 13.9, 16.6, 17.9, 10.1) data2 = c(19.8, 10.4, 13.3, 16.1, 17.9, 18.4, 19.6, 20.9, 21.9, 23.8, 25.5) As one of inferences, test hypothesis that the variability of datal is greater than that of data2. Use 5% level of significance to perform five steps procedure covered in the lecture. Step 1) Make Hypotheses: Ho: Step 2) Compute Test Statistic: Include R commands only you used. TS= Ha: Step 3) Find Critical Value and Rejection Region: Include R commands only you used. Step 4) Declare the result by Decision Rule (DR): Step 5) Interpret the result in Step 4:
Transcribed Image Text:I. (5 points) Use R basic operations and built-in functions covered in the class to answer the following question. A college student Ava is interested in comparing the characteristics of two groups. As a data collection, two independent samples are randomly selected. The dataset below is listed as a R command format so that you may copy it and paste in R. The preliminary research indicated that their populations are normally distributed. data1 = c(9.1, 3.6, 5.3, 5.9, 7.0, 8.5, 10.7, 11.8, 13.9, 16.6, 17.9, 10.1) data2 = c(19.8, 10.4, 13.3, 16.1, 17.9, 18.4, 19.6, 20.9, 21.9, 23.8, 25.5) As one of inferences, test hypothesis that the variability of datal is greater than that of data2. Use 5% level of significance to perform five steps procedure covered in the lecture. Step 1) Make Hypotheses: Ho: Step 2) Compute Test Statistic: Include R commands only you used. TS= Ha: Step 3) Find Critical Value and Rejection Region: Include R commands only you used. Step 4) Declare the result by Decision Rule (DR): Step 5) Interpret the result in Step 4:
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