Please note that the steps show rounded numbers, but that the final answers to the problems are calculated without rounding.
| Problem | Part | Solution |
|---|---|---|
| 1 | - | b. Pie Charts d. Bar Charts |
| 2 | - | \(\hat{p} = \frac{x}{n}\) n = total sample size x = number of individuals in sample with the characteristic you are focusing on. |
| 3 | - | P or the population proportion |
| 4 | - | \(\text{Standard Deviation of } \hat{p} = \sqrt{\frac{p(1-p)}{n}}\) n = total sample size p = the true population proportion, which is also the mean of the distribution of \(\hat{p}\) |
| 5 | - | Answers may vary: Categorical data groups the individuals in your study into categories, while numerical data assigns numbers to the individuals in your study. These numbers are a subset of the real numbers and can be discrete or continuous. |
| 6 | - | |
| 7 | - | |
| 8 | - | Your answers could vary. You could’ve used proportions to describe the data, described the data in words, or displayed a frequency table. Freshman: Count=8, \(\hat{p}\)=0.0437 Sophmore: Count=75, \(\hat{p}\)=0.4098 Junior: Count=59, \(\hat{p}\)=0.3224 Senior: Count=39, \(\hat{p}\)=0.2131 Other: Count=2, \(\hat{p}\)=0.0109 |
| 9 | A | The mean is 7% or 0.07 in this sample and the standard deviation is 0.0093 |
| 9 | B | z= 1.073 |
| 9 | C | Area = 0.1416 |