PowerPoint 1

Question 1

Statistics

Answer 1

Collecting, analyzing, interpreting data, and making decisions

Question 2

Descriptive statistics

Answer 2

Summarize and describe important characteristics of a set of measurements

Question 3

Inferential statistics

Answer 3

Use sample data to make conclusions about populations

Question 4

Independent variables

Answer 4

Variables manipulated by the experimenter

Question 5

Dependent variables

Answer 5

Depends on independent variable

Question 6

Qualitative variable

Answer 6

No numbers, describe attributes

Hair color, religion

Question 7

Quantitative variable

Answer 7

Measure in terms of numbers

Height, weight

Question 8

Discrete variables

Answer 8

Discrete point on a scale. Can be number of kids in a house which is 3 but can’t be 3.8

Question 9

Continuous variable

Answer 9

Infinite values, such as height and weight ( 5’5”, 163.8 pounds)

Question 10

Levels of measurement

Answer 10

Measures dependent variable 
Nominal scale
Ordinal scale
Interval scale 
Ratio scale

Question 11

Nominal scale

Answer 11

Lowest level of measurement
Example:
Eye color (blue, brown, green, hazel)
Gender (male, female)

Question 12

Ordinal scale

Answer 12

Rank order
Example:
Education level (elementary, middle school, high school, college)
Stages of cancer (stage 1,2,3,4)

Question 13

Interval scale

Answer 13

Numerical scale, identify direction and magnitude of difference, do not have a zero
Example:
Difference between 30 degrees and 40 degrees is the same as 80 degrees and 90 degrees

Question 14

Ratio scale

Answer 14

True zero point

Question 15

Experiment

Answer 15

Process by which you generate data

Question 16

Data

Answer 16

Set of values collected

Question 17

Parameter

Answer 17

Numerical value summarizing all data of an entire population
Example:
Average age of a student population

Question 18

Statistic

Answer 18

Numerical value summarizing sample data
Example:
Science department faculty average age