18.16 Appendix A: Introduction to Statistics
try this
page A-4
Answers will vary.
page A-4
Answers will vary, but here are examples from Chapter 3:
quantitative variables: frequency of sound waves, pitch of sound, number of hair cells, weight of butter, color wavelength
qualitative variables: gender, religion, marriage, supertasters, carpentered worlds versus traditional settings
page A-12
ANSWER: The mean for the sample is 38.6, the median is 38, the range is 65, and the standard deviation is 16.5. A stem-and-leaf plot would look like the following, and it appears it might be positively skewed.
| 1 |
0 0 1 6 8 8 |
| 2 |
0 0 4 4 5 5 6 9 9 |
| 3 |
0 1 1 2 3 6 8 9 |
| 4 |
0 1 1 2 3 6 8 9 |
| 5 |
0 0 1 2 3 6 7 9 |
| 6 |
1 1 6 |
| 7 |
1 5 |
TEST PREP are you ready?
- Statistics
- a. summarize data.
- d. statistical significance
- a. 2; b. 2; c. 1; d. 1
- c. frequency distribution
- a. normal curve.
- negatively skewed; positively skewed
- b. measures of central tendency.
- b. 5
- a. 4
- a. 4
- c. outlier; mean
- a. range
- a. 2
- Answers will vary, but it is important to consider what is being measured, how that measurement is actually being depicted, where the data come from, and the purpose of gathering the data.
- Answers will vary, but can be based on the following information. A positively skewed distribution has a longer tail to the right side of the distribution. Sometimes the mean is “pulled” toward the side of distribution that has a possible outlier in the tail of the distribution. Examples of positively skewed distributions are housing prices, prices of cars (used and new), and so on.