Chapter 8
Inferences Involving Continuous Data
One-sample Tests (two measures)^
8.1 Introduction to regression and correlation 253
8.2 Linear regression analysis 259
This procedure is used to describe a linear relation between a response and
explanatory variable(s) to estimates parameters e.g., β 0 , β 1 or to predict values of a
response variable.
8.3 Pearson’s correlation r^283
This quantifies the extent of a linear relationship between two variables.
Two-sample Tests^
8.4 Independent t-test (unrelated) 295
This is a parametric test of differences between population means and is used
when two samples are independent.^
8.5 Paired t-test (related) 307
This is a parametric test of the mean population differences when samples are
related. The same subjects are observed or measured on two occasions forming
the related samples. Matched subjects may be used instead of repeated measures
on the same subjects.
Multiple-sample Tests^
8.6 Introduction to Analysis of Variance (ANOVA) 312
One-Factor (Independent variable)^
8.7 One-way ANOVA F-test (unrelated) 319
This is used to identify population differences among two or more means on
one-response variable, when samples are independent. Different subjects are used^
