library(ggplot2)
Grades <- c(49, 53, 54, 57, 61, 63, 63, 64, 64, 65, 65, 66, 66, 66, 66, 67,
67, 68, 72, 72, 73, 73, 75, 76, 76, 76, 76, 76, 76, 76, 79, 79, 79, 80,
82, 84, 85, 86, 86, 88, 88, 89, 91, 93, 94, 95)
summary(Grades)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 49.0 66.0 75.5 73.9 81.5 95.0
c <- qplot(Grades, main = "Midterm 3 Grade Distribution", binwidth = 5)
c + geom_histogram(fill = "darkgray", color = "black", binwidth = 5)
| Problem | Average | % Perfect | Concept |
|---|---|---|---|
| 1 | 54.89% | 47.83% | Choosing the right inference procedure |
| 2 | 82.85% | 36.96% | Hypothesis testing |
| 3 | 81.88% | 13.04% | Plus-4 confidence interval |
| 4 | 60.87% | 60.87% | Rejecting the null hypothesis |
| 5 | 69.57% | 69.57% | Not statistically significant |
| 6 | 87.32% | 32.61% | Confidence intervals |
| 7 | 61.41% | 60.87% | Statistical significance |
| 8 | 51.63% | 50.00% | Bias, random error, and sample size |
| 9 | 66.12% | 2.17% | Individuals, variables, and proportions in a hypothesis test |
| 10 | 91.58% | 71.74% | Conditions for inference about means |
| 11 | 31.52% | 6.52% | P-value |
| 12 | 77.90% | 36.96% | Matched pairs versus two sample inference |