| Driver’s License? | Bicycle? | |
| Student 1 | Yes | Yes |
| Student 2 | Yes | No |
| Student 3 | No | Yes |
| Student 4 | No | Yes |
| Student 5 | Yes | No |
| Student 6 | No | No |
| Student 7 | No | Yes |
| Student 8 | Yes | Yes |
| Student 9 | Yes | No |
| Student 10 | Yes | Yes |
| Student 11 | No | Yes |
Question 1
1) Is the variable Do you have a driver’s license categorical or quantitative?
Question 2
2) Is the variable Do you own a bicycle categorical or quantitative? From looking at this table, it might be difficult to get a good sense of any patterns in the dataset. The teacher decides to organize the information into a contingency table. Previously, you have used this tool to organize bivariate, categorical data. In each cell, there is an integer, representing a frequency or count.
Question 3
3) Fill in the cells in the following table, using the labels as a guide.
| Yes, has a driver’s license | No, does not have a driver’s license | |
| Yes, owns a bicycle | ||
| No, does not own a bicycle |
Question 4
4) How many students have driver’s licenses but do not own bicycles?
Question 5
5) In a sentence, explain what the number four represents in the previous table. Contingency tables are particularly useful when datasets are large. Consider the following example.
| Republicans | Democrats | Independents | |
| Yes | 46 | 46 | 2 |
| No | 1 | 0 | 0 |
| Not Voting | 3 | 2 | 0 |
Question 6
6) How many people did not vote on the bill?
Question 7
7) How many senators are not Republicans?
Question 8
8) How many senators are Democrats or Independents?
Question 9
9) In a sentence, explain what the number three in the previous table represents.
Question 10
| Republicans | Other | |
| Yes | ||
| Other |
Question 11
Question 12
| 20–29 years | 30–39 years | 40–49 years | 50–59 years | 60–69 years | 70–79 years | 80–89 years | |
| 0–1 days per week | 7 | 12 | 55 | 40 | 30 | 4 | 9 |
| 2–4 days per week | 35 | 41 | 45 | 50 | 55 | 30 | 12 |
| 5–7 days per week | 31 | 44 | 49 | 40 | 24 | 12 | 1 |
| 20–49 years | 50–89 years | |
| 0–1 days per week | ||
| 2+ days per week |
| 20–29 and 70–89 years | 30–69 years | |
| 0–1 days per week | ||
| 2+ days per week |
- GovTrack. (2021, May 19). S.937: COVID-19 Hate Crimes Act.https://www.govtrack.us/congress/bills/117/s937/text ↵