Question
2. In LEAD 5700, the professor also conducted a survey of students' attitudes toward and comfort with statistics. The variables StatView1 (What is your level
2. In LEAD 5700, the professor also conducted a survey of students' attitudes toward and comfort with statistics. The variables StatView1 (What is your level of comfort with statistics?), StatView2 (What is your level of comfort with math?), and StatView 3 (What is your level of comfort with numbers?) represent students' responses to each survey question on a scale of 1 (Very Uncomfortable) to 5 (Very Comfortable). The variable StatComfort is the mean of the students' responses on the 3 survey questions measuring the construct "Students' Comfort with Statistics." StatComfort is thus a scaled score representing students' comfort with statistics. Compute a Pearson Rcorrelation to determine whether there is a statistically significant relationship between students' comfort with statistics (StatComfort) and students' final exam score (FinalScore), and how strong that relationship is.
a. Report the descriptive statistics of these 2 variables (StatComfort and FinalScore).
b. According to the LEAD 5700 data, is there a statistically significant correlation between students' comfort with statistics (StatComfort) and their final exam scores (FinalScore)?
c. What is the strength of the relationship? How can you tell?
FinalScore | Questions | COEProgram | Gender | StatView1 | StatView2 | StatView3 | StatComfort | PreScore | Race/Ethnicity |
87.00 | 1.00 | 1 | 0.00 | 4.00 | 3.00 | 4.00 | 3.67 | 80.00 | 1.00 |
100.00 | 1.00 | 2 | 0.00 | 4.00 | 5.00 | 5.00 | 4.67 | 90.00 | 3.00 |
87.00 | 0.00 | 1 | 0.00 | 4.00 | 4.00 | 4.00 | 4.00 | 67.00 | 2.00 |
99.00 | 1.00 | 3 | 1.00 | 5.00 | 5.00 | 1.00 | 3.67 | 88.00 | 2.00 |
81.00 | 0.00 | 1 | 1.00 | 2.00 | 2.00 | 2.00 | 2.00 | 67.00 | 4.00 |
54.00 | 0.00 | 1 | 0.00 | 1.00 | 1.00 | 3.00 | 1.67 | 49.00 | 4.00 |
81.00 | 0.00 | 2 | 1.00 | 3.00 | 2.00 | 2.00 | 2.33 | 80.00 | 5.00 |
96.00 | 1.00 | 2 | 0.00 | 4.00 | 3.00 | 3.00 | 3.33 | 80.00 | 5.00 |
90.00 | 1.00 | 3 | 0.00 | 3.00 | 3.00 | 3.00 | 3.00 | 87.00 | 5.00 |
72.00 | 0.00 | 1 | 1.00 | 1.00 | 1.00 | 2.00 | 1.33 | 70.00 | 5.00 |
96.00 | 1.00 | 3 | 0.00 | 4.00 | 4.00 | 4.00 | 4.00 | 78.00 | 1.00 |
98.00 | 1.00 | 3 | 0.00 | 5.00 | 5.00 | 4.00 | 4.67 | 79.00 | 1.00 |
78.00 | 0.00 | 1 | 1.00 | 2.00 | 2.00 | 2.00 | 2.00 | 69.00 | 4.00 |
66.00 | 0.00 | 2 | 1.00 | 2.00 | 2.00 | 2.00 | 2.00 | 69.00 | 4.00 |
89.00 | 0.00 | 3 | 1.00 | 5.00 | 4.00 | 5.00 | 4.67 | 80.00 | 1.00 |
90.00 | 1.00 | 1 | 1.00 | 4.00 | 4.00 | 5.00 | 4.33 | 80.00 | 1.00 |
88.00 | 1.00 | 1 | 1.00 | 4.00 | 4.00 | 4.00 | 4.00 | 79.00 | 5.00 |
95.00 | 1.00 | 3 | 0.00 | 5.00 | 5.00 | 5.00 | 5.00 | 90.00 | 5.00 |
100.00 | 1.00 | 2 | 1.00 | 4.00 | 3.00 | 3.00 | 3.33 | 93.00 | 3.00 |
80.00 | 0.00 | 2 | 0.00 | 3.00 | 3.00 | 3.00 | 3.00 | 80.00 | 2.00 |
70.00 | 1.00 | 1 | 1.00 | 2.00 | 2.00 | 3.00 | 2.33 | 69.00 | 2.00 |
99.00 | 1.00 | 3 | 0.00 | 4.00 | 4.00 | 4.00 | 4.00 | 96.00 | 1.00 |
100.00 | 1.00 | 3 | 1.00 | 5.00 | 5.00 | 5.00 | 5.00 | 90.00 | 2.00 |
87.00 | 1.00 | 3 | 1.00 | 3.00 | 4.00 | 3.00 | 3.33 | 80.00 | 2.00 |
85.00 | 1.00 | 2 | 1.00 | 3.00 | 3.00 | 2.00 | 2.67 | 80.00 | 5.00 |
45.00 | 0.00 | 2 | 1.00 | 1.00 | 2.00 | 2.00 | 1.67 | 50.00 | 4.00 |
65.00 | 0.00 | 2 | 0.00 | 1.00 | 1.00 | 2.00 | 1.33 | 60.00 | 4.00 |
77.00 | 0.00 | 1 | 0.00 | 3.00 | 3.00 | 4.00 | 3.33 | 70.00 | 3.00 |
79.00 | 0.00 | 1 | 0.00 | 2.00 | 2.00 | 2.00 | 2.00 | 78.00 | 2.00 |
92.00 | 0.00 | 1 | 1.00 | 4.00 | 4.00 | 5.00 | 4.33 | 88.00 | 5.00 |
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