1. Chapter 14 Quantitative Data Analysis
Key Terms

2. Quantitative analysis Numerical representation and manipulation of observations for the purpose of describing and explaining the phenomena that those observations reflect.
Codebook Document that describes the locations of variables and lists the assignments of codes to the attributes composing those variables.

3. Univariate analysis Describes a case in terms of a single variable - the distribution of attributes that comprise it.
Frequency distribution Description of the number of times that the various attributes of a variable are observed in a sample.

4. Average Measure of central tendency.
Mean Result of diving the sum of the values by the total number of cases.

5. Mode The most frequently occurring attribute.
Median Middle attribute in the ranked distribution of observed attributes.

6. Dispersion Refers to the way values are distributed around some central value.
Standard deviation Index of the amount of variability in a set of data.

7. Continuous variable Increases steadily in tiny fractions.
Discrete variable Jumps from category to category without intervening steps.

8. Bivariate analysis Analysis of two variables simultaneously
Bivariate analysis Analysis of two variables simultaneously. Focus is on the variables and the empirical relationships.
Contingency tables Values of the dependent variable are contingent on values of the independent variable.

9. Multivariate analysis Analysis of more than two variables simultaneously.