library(ggplot2)
Grades <- c(54, 65, 68, 69, 70, 70, 71, 72, 73, 76, 80, 85, 85, 85, 86, 88,
89, 89)
summary(Grades)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 54.0 70.0 74.5 76.4 85.0 89.0
c <- qplot(Grades, main = "Midterm 2 Grade Distribution", binwidth = 5)
c + geom_histogram(fill = "darkgray", color = "black", binwidth = 5)
| Problem | Concept | Class Average |
|---|---|---|
| 1 | Sampling distributions | 75.46% |
| 2 | Confidence intervals | 73.15% |
| 3 | Central limit theorem | 50.00% |
| 4 | Statistical significance | 83.33% |
| 5 | P-values | 52.78% |
| 6 | Rejecting the null hypothesis | 63.89% |
| 7 | Hypothesis testing | 81.67% |
| 8 | Matched pairs versus 2-sample techniques | 79.63% |
| 9 | Double-blind experiments | 100.00% |
| 10 | Conditions for using t-distribution | 86.81% |
| 11 | Definition of p-value | 71.30% |
| 12 | Explanatory, response, and confounding variables | 88.89% |
| 13 | Computing t and p-values | 79.44% |
| 14 | Purpose of a null hypothesis | 44.44% |