Ch 1 Key Terms (continued)
Proportion Example 2.
Political pollsters are interested in the proportion
of people that will vote for a particular cause.
Population:
Sample:
Parameter:
Statistic:
Variable:
Data:
Types of Data:
 ____________________ Data
 ____________________ Data
 _____________
 _____________
Determine the type of data:
1. The number of pairs of shoes you own
2. The type of car you drive
3. Where you go on vacation
4. The distance from your house to the
nearest grocery store
5. The number of classes you take per school
year
6. The tuition for your classes
7. The type of calculator you use
8. Movie ratings
9. Political party preferences
10. The weight of sumo wrestlers
11. The amount of money won playing poker
12. The number of correct answers on a quiz
13. People’s attitudes toward the government
14. IQ scores
Levels of Measurement
How data is measured is called its level of
measurement:
Nominal Scale: This is categorical data without
any kind of ordering implied.
Ordinal Scale: This is categorical data that can
be ordered or for which ordering is implied.
Interval Scale: This is numerical data that can
be ordered but the data has no starting point.
Differences can be measured, but ratios have no
meaning.
Ratio Scale: This is numerical data that can be
ordered and has a 0 value. Differences as well
as ratios of values make sense.
What type of measure scale is being used?
Nominal, ordinal, interval or ratio?
1. Movie Ratings (
etc.)
2. Temperatures in June in San Jose
3. The colors of T-shirts for sale at Old Navy
4. The wages (in dollars per hour) for a part-time
job
5. Where you go on vacation
6. The distance in miles from home to work
7. Common letter grades: A, B, C, D, and F
Relative Frequency Tables
We are interested in the number of days per
week that a De Anza students works.
Data
Frequency Relative Cumulative
Frequency Rel Freq
0
1
2
3
4
5
6
7
Total
What percent work:
 0 days per week?
 1 to 3 days per week?
 Less than 5 days per week?
 At least 5 days per week?