STANDEV
Injury 0
Injury 1
Injury 4
Lat 1
Young
Lat 2
Young
Old
3.1
111.3
20.9
0.0
7.2
0.0
Lat 3
Young
Old
87.0
125.5
2.8
38.4
36.6
35.7
Lat 4
Young
Old
50.8
74.1
2.0
51.4
51.9
28.0
Lat 5
Young
Old
20.6
81.9
37.9
72.1
63.9
48.3
Old
27.0
62.7
37.0
Young
76.
T-TESTS
March 2nd and March
4th, 2015
MONDAY
WARM-UP
THE EXTREME GAME
TIME: 3 Minutes
OBJECTIVE:
Pick a side.
TYPES OF RELATIONSHIPS
FOCUS: FIRST HALF OF THE COURSE
- CORRELATION
- REGRESSION
- MULTIPLE
REGRESSION
RELATIONSHI
P BETWEEN
VARIABLES
We observ
REPEATED
MEASURES
ANOVA
March 23rd and 25th,
2015
MONDAY
WARM-UP
SHAKE GAME
TIME: 2 Minutes
OBJECTIVE:
Wake up!
ANALYSIS OF VARIANCE
REPEATED-MEASURES
ANOVA
A test to determine whether 3 (or
more) group means are different,
where the groups are made of th
MULTIPLE
REGRESSION
February 9th and 11th,
2015
MONDAY
WARM-UP
COLOUR GAME
TIME: 3 Minutes
OBJECTIVE:
Touch all of the
colours.
MULTIPLE REGRESSION
A way of predicting the value of one variable from many
others
A hypothetical model of the relationship bet
REGRESSION
February 2nd and 4th,
2015
MONDAY
WARM-UP
DRAWING
TIME: 3 Minutes
OBJECTIVE:
Draw the perfect
image.
MATERIAL:
Pen and paper.
REGRESSION
A way of predicting the value of one variable from
A hypothetical model of theanother
linear relationship b
PREPARING DATA
FOR ANALYSIS
Monday, January 19th,
2015
WARM-UP
STAND UP, SIT DOWN
TIME: 2 Minutes
OBJECTIVE:
Listen to the
instructions, last one
standing is the winner.
PREPARING DATA FOR
ANALYSIS
Before you can run analyses, your data
set needs to be pr
PSY2116 B
Assignment 1
Instructions:
The data file will have extra variables that you will not necessarily need. This is meant
to give you practice with typical data files, so you should not analyze all variables in the
data set only what is specified in
Lecture 4
Quantitative Methods in
Psychology
PSY2116
Spring/Summer 2015
Always comparing 2 things (e.g. males & females intelligence scores)
Chapter 12 -14
THE T STATISTIC
Lecture 4 - PSY 2116
Hypothesis Testing With Means:
Two types of T-test:
Single sam
Lecture 3
Quantitative Methods in
Psychology
PSY2116
Spring/Summer 2015
Correlation vs. Regression
Correlation
Measure the degree of
relationship between
two variables
Regression
Predicting one variable
from knowledge of
another variable
Lecture 3 - PSY
C8057 (Research Methods 2): Effect Sizes
Effect Sizes
Null Hypothesis Significance Testing (NHST)
When you read an empirical paper, the first question you should ask is how important is the
effect obtained. When carrying out research we collect data, carr
Example of annotated highlighted output
First table represents mean, sample size, and error for each group. The mean and standard deviation
were represented in the graph.
This table represents the outcome of the paired samples t test which was significant
JUST A CONCUSSION
1
PSY2116 B
Assignment 2
Instructions:
The data files associated with each may have extra variables that you will not
necessarily need. This is meant to give you practice with typical data files, so you should
not analyze all variable in
INDEPENDENT
ANOVA
March 9th and 11th,
2015
MONDAY
WARM-UP
RHYTHM GAME
TIME: 2 Minutes
OBJECTIVE:
Stay on beat!
A LOOK BACK AT T-TESTS
If we want to compare more than 2 groups, why
dont we compare pairs of t-tests?
An example with 3 groups
PROBLEMS
1
with
Review of
Descriptive
Statistics
Wednesday, January
14th, 2015
WARM-UP
HUMAN CALENDAR
TIME: 5 Minutes
OBJECTIVE:
Silently place
yourselves in order by
birthday (January to
December).
WARM-UP
TYPES OF DATA ANALYSIS
QUANTITATIVE METHODS
Testing theories usi
HYPOTHESIS
TESTING HOW
IT WORKS
Wednesday, January
21st, 2015
WARM-UP
WEEKLY STATISTICS JOKE
BUILDING STATISTICAL
MODELS
Scientists build models of real-world
processes in an attempt to predict how
these processes operate under certain
conditions.
Since w
PSY 2116 Sums of Squares ANSWERS
DATA SET 2A
X
Y
12
25
15
22
14
24
17
24
17
24
12
25
13
22
10
22
19
23
10
19
W
7
9
7
6
6
8
6
5
5
5
Using Data Set 2A and the formulae below, compute the following:
2
SSW W
SSW 426
SSW
SSW
a)
W
2
n
64
2
10
4096
426
10
4
PSY 2116 Standard Scores ANSWERS
1.
Use the numbers in DATA SET A for this analysis. Compute the z-scores that correspond
to raw score values of 17, 22 and 3. What extra assumption(s) would you have to make
to compute the z-score for a raw score value of
PSY 2116 Factorial ANOVA ANSWERS
Female
Male
Perform the appropriate statistical analysis for the data in DATA SET A. Ensure that you protect the
Type I error rate for the comparison(s) you conduct.
Gender
1.
Class A
23
17
19
30
25
26
26
27
27
30
28
27
DA
PSY 2116 One-way ANOVA ANSWERS
1.
You are teaching three sections of a course. Fortunately, there are equal numbers of students (8) in each
section! Using the data in DATA SET A, determine whether there is a difference in the grades
attributable to which
PSY 2116 Partial and Semi-partial Correlation ANSWERS
1.
For all computations, carry four decimals and round to 2 decimals for final answers.
2.
Using the data in DATA SET A, compute the PPMC correlations for each possible variable pairing.
DATA SET A
3.
Chapter 3
1. What is the mean for the following sample of scores? Scores: 1, 2, 5, 4
a.12
b.6
c.4
d.3
2. A sample of n = 5 scores has a mean of M = 12. What is X for this sample?
a. 12/5 = 2.40
b.Cannot be determined from the information given.
c.5/12 = 0
Chapter 6
1. An introductory psychology class has 9 freshman males, 15 freshman females, 8 sophomore males,
and 12 sophomore females. If one student is randomly selected from this class, what is the probability
of getting a sophomore?
a.20/24
b.20/44
c.8/