Chapter 3
Measures of Central Tendency and Variability
Advantages and Disadvantages of the Major Measures of Central Tendency
Advantages of the Mode:
1. Easy to find.
2. Can be used with any scale of
answer can be obtained directly from the F ratio:
2
RM =
df RM F
3 (2.42)
3 (2.42)
7.26
=
=
=
= .377
3 (2.42) + 12
3 (2.42) + 12
19.26
df RM F + df int er
This is a very large proportion, but it can
Chapter 15
Repeated Measures ANOVA
The same RM ANOVA procedures that are applied when each subject is measured several times
are used to analyze the results of a randomized-blocks (RB) design, as well
Optional Material: Two-Way RM ANOVA
Suppose that each subject in a study of reading methods is tested on two types of reading materials,
and therefore provides two reading scores. You would then have
sphericity assumption. The first of these, known as the Greenhouse-Geisser (G-G) correction, is by far
the more conservative and more popular of the two; the Huynh-Feldt (H-F) correction is rarely use
Chapter 15 Section D
Repeated-Measures ANOVA
There is a fundamental difference between the ways in which data are entered for a repeated-measures
design and for an independent-groups design. When the
compared to .
Curvilinear correlation: Occurs when two variables are related in such a way that the scatterplot appears
as a curve instead of a straight line. There are coefficients of curvilinear cor
Chapter 9
Linear Correlation
In order to review the calculation of Pearson=s r, I will describe a hypothetical study to determine
whether people who come from large immediate families (i.e., have many
Chapter 8
Statistical Power and Effect Size
Power analysis can be separated into two categories: fixed and flexible sample sizes
1. When the sample sizes are fixed by circumstance (e.g., a certain num
Two-group Confidence Interval
Although you would probably not bother to calculate a confidence interval for the above experiment
because of the small sample sizes and lack of statistical significance,
Chapter 7
The t Test for Two Independent Sample Means
To review the statistical analysis of a two-group experiment, I will describe a hypothetical study from
the field of neuropsychology. A researcher
Chapter 6
Interval Estimation and the t Distribution
One-Group t test
To illustrate the calculation of a one-group t-test and the construction of a confidence interval, we ask
you to imagine the follo
Step 6. Make the statistical decision.
If the z-score you calculated above is greater in magnitude than the critical z-score, then you can reject
the null hypothesis. As alpha had been set to .05, we
Chapter 5
Introduction to Hypothesis Testing
Hypothesis testing can be divided into a six-step process. The six steps are as follows:
1.
2.
3.
4.
5.
6.
State the hypotheses.
Select the statistical tes
Adjacent values: The upper adjacent value is the highest score in the distribution that is not higher than the
upper inner fence, and the lower adjacent value is similarly defined in terms of the lowe
The Range. The range is the highest score minus the lowest. The number of books read ranged from 1 to
9, so range = 9 - 1 = 8. If the scale is considered continuous (e.g., 9 books is really anywhere b
fatigue, and can be averaged out by counterbalancing.
Latin-Square design: A system for counterbalancing in which the number of different sequences of
treatment levels equals the number of treatment l