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of the midterm exam grade? (b) How many students are in this dataset? In other words, what is the sample size? (c) Compute the correlation between midterm and final exam grades for all students. What is the correlation coefficient? Attach R code. (d) Subset the first 30 students' data and assign this data to an R object called subsetDat Attach R code. (e) Compute the correlation between midterm and final exam grades for only the stu- dents in subsetData. What is the correlation coefficient? Attach R code. (f) Compare the correlation in part (e) with the correlation in part (c). What one is smaller? Why?

of the midterm exam grade? (b) How many students are in this dataset? In other words, what is the sample size? (c) Compute the correlation between midterm and final exam grades for all students. What is the correlation coefficient? Attach R code. (d) Subset the first 30 students' data and assign this data to an R object called subsetDat Attach R code. (e) Compute the correlation between midterm and final exam grades for only the stu- dents in subsetData. What is the correlation coefficient? Attach R code. (f) Compare the correlation in part (e) with the correlation in part (c). What one is smaller? Why?

College Algebra (MindTap Course List)
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.CR: Chapter Review
Problem 37E: Find the positive geometric mean between 4 and 64.
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Midterm Final 38.64 60.94 39.77 48.68 42.05 52.45 44.32 45.45 36.89 46.59 48.3 47.16 43.96 48.86 51.14 51.7 52.27 52.27 59.09 60.23 60.23 61.93 62.5 53.4 54.55 55.68 64.72 56.82 64.2 51.51 64.2 59.09 57.64 51.51 53.4 41.6 59.66 43.49 55.28 68.96 52.92 37.36 51.51 75 51.04 75 63.07 43.02 66.6 65.66 68.02 60.47 65.34 65.34 77.45 46.79 55.75 67.05 68.49 67.05 50.09 67.05 55.75 43.96 67.05 55.75 68.75 78.87 69.89 61.89 69.89 71.79 69.89 47.74 70.45 63.77 71.02 78.87 71.02 76.04 72.16 65.19 72.73 74.15 73.86 72.26 73.86 73.86 60.47 73.86 60.94 48.68 97.16 64.72 63.3 75.57 54.34 75.57 48.68 76.7 77.27 52.45 77.27 57.17 75.09 77.84 81.7 78.41 86.89 80.68 80.75 80.68 73.21 80.68 64.72 80.68 72.74 81.82 64.72 83.52 96.32 84.09 68.02 84.09 73.21 84.66 64.72 86.36 63.77 86.36 71.79 86.36 65.66 87.5 63.77 88.64 71.32 92.05 89.25 93.18 97.74 94.89 95.45 81.7 97.26 100
Transcribed Image Text:Midterm Final 38.64 60.94 39.77 48.68 42.05 52.45 44.32 45.45 36.89 46.59 48.3 47.16 43.96 48.86 51.14 51.7 52.27 52.27 59.09 60.23 60.23 61.93 62.5 53.4 54.55 55.68 64.72 56.82 64.2 51.51 64.2 59.09 57.64 51.51 53.4 41.6 59.66 43.49 55.28 68.96 52.92 37.36 51.51 75 51.04 75 63.07 43.02 66.6 65.66 68.02 60.47 65.34 65.34 77.45 46.79 55.75 67.05 68.49 67.05 50.09 67.05 55.75 43.96 67.05 55.75 68.75 78.87 69.89 61.89 69.89 71.79 69.89 47.74 70.45 63.77 71.02 78.87 71.02 76.04 72.16 65.19 72.73 74.15 73.86 72.26 73.86 73.86 60.47 73.86 60.94 48.68 97.16 64.72 63.3 75.57 54.34 75.57 48.68 76.7 77.27 52.45 77.27 57.17 75.09 77.84 81.7 78.41 86.89 80.68 80.75 80.68 73.21 80.68 64.72 80.68 72.74 81.82 64.72 83.52 96.32 84.09 68.02 84.09 73.21 84.66 64.72 86.36 63.77 86.36 71.79 86.36 65.66 87.5 63.77 88.64 71.32 92.05 89.25 93.18 97.74 94.89 95.45 81.7 97.26 100
This In this question, you will work with grades.csv file data file has two variables: 1) midterm exam grade in percentage; 2) final exam grade in percentage. Import the data into R and answer the following questions: (a) Use View() function to take a look at the dataset. Notice that the dataset is ordered according to the midterm exam grade. Is it ordered in ascending or descending order of the midterm exam grade? (b) How many students are in this dataset? In other words, what is the sample size? (c) Compute the correlation between midterm and final exam grades for all students. What is the correlation coefficient? Attach R code. (d) Subset the first 30 students' data and assign this data to an R object called subsetData. Attach R. code. (e) Compute the correlation between midterm and final exam grades for only the stu- dents in subsetData. What is the correlation coefficient? Attach R code. (f) Compare the correlation in part (e) with the correlation in part (c). What one is smaller? Why?
Transcribed Image Text:This In this question, you will work with grades.csv file data file has two variables: 1) midterm exam grade in percentage; 2) final exam grade in percentage. Import the data into R and answer the following questions: (a) Use View() function to take a look at the dataset. Notice that the dataset is ordered according to the midterm exam grade. Is it ordered in ascending or descending order of the midterm exam grade? (b) How many students are in this dataset? In other words, what is the sample size? (c) Compute the correlation between midterm and final exam grades for all students. What is the correlation coefficient? Attach R code. (d) Subset the first 30 students' data and assign this data to an R object called subsetData. Attach R. code. (e) Compute the correlation between midterm and final exam grades for only the stu- dents in subsetData. What is the correlation coefficient? Attach R code. (f) Compare the correlation in part (e) with the correlation in part (c). What one is smaller? Why?
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