1. Population:The entire group that is the subject of a statistical study.

2. Sample: A subset of the population selected for a particular study.

3. Parameter: A numerical measure that describes a characteristic of a population.

4. Statistic: A numerical measure that describes a characteristic of a sample.

5. Descriptive Statistics: Methods of organizing, summarizing, and presenting data in a convenient and informative way.

Terminology for Statistics

6. Inferential Statistics: Methods used to make inferences or predictions about a population based on a sample of data.

7. Variable: A characteristic or attribute that can take on different values.

8. Data: The values or observations that variables can assume.

9. Categorical Data: Data that can be divided into categories but cannot be measured.

10. Numerical Data: Data that consists of numbers and can be measured.

11. Qualitative Data: Data that describes qualities or characteristics and cannot be measured.

Terminology for Statistics

12. Quantitative Data: Data that consists of numerical measurements.

13. Discrete Data: Data that can only take on specific, distinct values.

14. Continuous Data: Data that can take on any value within a given range.

15. Frequency:The number of times a particular value occurs in a dataset.

16. Mean (Average): The sum of all values in a dataset divided by the number of values.

17. Median: The middle value in a dataset when it is ordered from least to greatest.

18. Mode: The value that appears most frequently in a dataset.

Terminology for Statistics

19. Range: The difference between the maximum and minimum values in a dataset.

20. Variance: A measure of the spread or dispersion of a set of values.

21. Standard Deviation: A measure of the amount of variation or dispersion of a set of values.

22. Normal Distribution: A symmetric, bell-shaped distribution characterized by its mean and standard deviation.

23. Correlation Coefficient: A measure of the strength and direction of the linear relationship between two variables.

24. Regression Analysis: A statistical technique for modeling the relationship between a dependent variable and one or more independent variables.

Terminology for Statistics