Page 238 - Quantitative Data Analysis

Quantitative Data Analysis
Simply Explained Using SPSS

Hypothesis testing: The branch of inferential statistics that is
concerned with how well the sample data support a null hypothesis
and when the null hypothesis can be rejected

Independent t-test: To test the significance difference between two
independent groups.

Independent Variable: The variable we think has an effect on the
dependent variable.

Inferential statistics: Statistics that use characteristics of a random
sample along with measures of sampling error to predict the true
values in a larger population.

Linear relationship is one in which the relationship between two
variables can best be represented by a straight line.

Mean: is the average, the sum of the scores divided by the number
of scores (n).

Median: is the middle most value in rank ordered list of scores.

Mode: is the most frequent value in dataset.

Negative relationship exists when one variable increases and other
variable decreases (X decreases as Y increases).

Normal distribution: A frequency distribution of scores that is
symmetric about the mean, median, and mode.

The Theory and Applications of Statistical Inferences 222