PSY 252 Study Guide
Concepts/terms
2 types of statistics (descriptive and inferential statistics)
Population vs. Sample
Estimation and sampling error
Parameter vs. Statistic
Construct and operational definition
Qualitative vs. Quantitative Variables
Conti
Chapter 12.
Introduction to
Analysis of Variance
(ANOVA)
What statistic to use?
2
One
How
many
sets of
data you
have?
Two
Three
or
o
known
o not
known
2
diferent
groups
One group
measured
twice
z test
Singlesample
t-test
Indepen
Repeated
dent
measures
mea
Chapter 11. The t
Test
for Two Related
Samples
We learn in Chapters 10 & 11
2
One
How
many sets
of
sample data?
Two
o
known
o not
known
2
diferent
groups
One group
measured
twice
z test
Singlesample
t-test
Indepen
Repeated
dent
measures
measur
t-test
es t
Chapter 9.
Introduction to the
t statistic
Overview of todays lecture
t-statistic
Comparison with zstatistic
5 characteristics of t
distribution
Comparison with zdistribution
Degree of freedom
How to read t-table
The t statistic: An alternative
to z
z st
Chapter 9.
Introduction to the
t statistic
(cont)
Overview of todays lecture
4 steps of one-sample t-test
Effect sizes of one-sample ttest
Cohens d
R2
APA style write up of onesample t-test
z-test in Chapter 8
To compare a sample mean with a
hypothesized
Chapter 10. The t
Test
for two independent
samples
(cont)
2
What test statistic
to use?
o
One
How
many sets
of
sample data?
Two
known
o not
known
2
diferent
groups
One group
measured
twice
z test
Singlesample
t-test
Indepen
Repeated
dent
measures
measur
t
Chapter 10. The t
Test
for two independent
samples
So far we learned
2
One
o
known
o not
known
z
test
Singlesample
t-test
How many
sets of
sample
data?
So far, we compared a ONE sample
mean with the population mean
(known or hypothesized).
3
We will learn
PSY 252 Exam 1 Study Guide
Feb 20th (Monday) 11:40 to 12:35 (regular class time) at Hall of Languages 107
This exam will cover Chapters 1, 2, 3, and 4.
There will be a total of 25 multi-choice questions; some of them will be same as or very
similar to end
2 types of statistics
descriptive statistics: statistical procedures used to summarize, organize, and simplify
data (table/graph)
inferential statistics: statistical technique that allows us to study samples and then make
generalizations about populations
Chapter12.
Introduction to
Analysis of Variance
(ANOVA) (cont)
Assumptions behind ANOVA
DV scores are independent from each
other
DV scores are normally distributed
Population variances of all diferent
groups/samples are same
An Example: ANOVA
3
A study c