From Page 67
(3) You're right.
External validity deals with how much can be inferred
from your results.
Okay, we're rapidly approaching the end of this course, and we'll wrap
things up with a question and discussion on statistics.
Descriptive
statistics were examined in Lesson 33 where we spoke of measures of central
tendency; such as mean and median, as well as measures of dispersion, such
as range, and mean deviation.
Our main concern, when working with
descriptive statistics such as these, is to present our data in an
understandable format.
In Lesson 34, we discussed statistical methods which allow you to
describe the relationship between variables as scores and statistical
methods which enable you to make inferences or generalizations about the
data you have. Okay, we're getting ready to ask the final question in this
lesson (and this course). In fact, this will be question number '430.' Are
you ready?
Here we go.
In Lesson 34 we distinguished between two major
types of inferential statistical techniques. What are they?
(1) Descriptive and inferential statistics. Turn to Page 92.
(2) Parametric and nonparametric statistical techniques. Turn to Page 80.
(3) Parametric and parsimonious techniques. Turn to Page 8.
From Page 24
(2) While the independent variable(s) may have been mentioned, this section
is primarily used to show how the study was conducted and how the relevant
variables were controlled. Return to Page 24.
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