**Matching (1 point each)**

Match each term with its corresponding description.

**A. Discrete observation**
6. This takes on only specific values; no other values can exist. Whole numbers are an example.

**B. Continuous observation**
9. These take on a full range of values, an infinite number of potential values exist.

**C. Nominal**
13. This level of measurement is used for observations that have categories or names as their assigned value.

**D. Ordinal**
10. This level of measurement is utilized for observations that have a rank or order.

**E. Interval**
16. This level of measurement has observations with equal intervals and a meaningful zero point.

**F. Ratio**
(Not provided; please review options.)

**G. Mean**
1. This is the most commonly used measure of central tendency. It is the arithmetic average.

**H. Median**
7. This is the measure of central tendency that defines the midpoint in the set of scores.

**I. Mode**
14. This is the value that occurs most frequently in your data set. This is the measure of central tendency used for nominal data.

**J. Range**
4. This is the simplest measure of variability. It is determined by subtracting the lowest score from the highest score.

**K. Variance**
18. This measure of variability is the average of squared deviations from the mean. It is expressed in units squared.

**L. Standard Deviation**
12. This measure of variability indicates the amount a score varies from the mean. It is the square root of the variance.

**M. Population**
3. This includes all possible observations. It is what researchers are really interested in.

**N. Sample**
11. This is the set of observations/individuals drawn from the population of interest. It is what researchers usually study.

**O. Inferential statistics**
15. This branch of statistics is utilized to make inferences about a larger group based on a smaller group of data.

**P. Descriptive statistics**
5. This branch of statistics is used to organize and describe the characteristics of a data set.

**Q. Independent variable**
2. This variable is actively manipulated by the experimenter.

**R. Dependent variable**
17. This variable is what is measured by the researcher.

**S. Percentile**
22. This refers to the percentage of scores that fall at or below a particular raw score.

**T. Regression to the mean**
24. People with extreme scores at one point in time tend to have less extreme scores at a later point in time, due to this phenomenon.

**U. Regression**
25. This statistic is utilized for prediction. It involves calculating the line of best fit.

**V. Mean**
19. This is the most commonly used measure of central tendency. It is the arithmetic average.

**W. Standard distribution**
23. This type of distribution is bell-shaped, symmetric, and unimodal.

**X. Correlation**
(Not provided; please review options.)

**Y. Reliability**
20. This refers to a measure's consistency.

**Z. Scatterplot**
28. This type of graph is utilized before a correlation to examine if there is a linear relationship.

**AA. Validity**
26. This refers to a measure actually measuring what it intends to measure.

**AB. Correlation coefficient**
(Not provided; please review options.)

**AC. Normal distribution**
23. This type of distribution is bell-shaped, symmetric, and unimodal.

Note: Some descriptions may have been repeated or not matched. Please check to ensure each description is correctly paired with a term.