X
Y
5
5
3
5
4
3
4
4
3
3
4
3
3
4
3
4
4
5
5
4
6
5
2
2
4
8
7
2
1
1
4
2
5
4
7
4
2
5
2
5
Mean X
std X
Mean Y
std Y
X value to be evaluated:
Y value to be evaluated:
Z-score for X
Z-score for Y
3.9
0.788068926
3.9
2.10012531
3.9
3.9
0
0
Evaluated X value
1
3
3.
Reliability & Validity:
nominal scale- mutually exclusive, one category
online, least precise level of measurement. Ex:
gender, food, class
ordinal scale- #s are assigned to represent a rank
order where the diff in terms of value is unknown,
doesnt allow
SIMPLE (ONE-WAY) ANOVA
Examines the differences between more than two
groups
Exploring 1 independent variable that has more
than two levels
Dependent variables measure independent
variables and iv are manipulated
Analyzes how much variance can be attribu
Final Homework short answers
11a. Null hypothesis: The amount of money spent on food among undergrad
students and undergrad athlete is equal. Ho: s = sa
Research hypothesis: The amount of money spent on food among undergrad
students and undergrad athletes
HOMEWORK FOR T-TEST FOR DEPENDENT SAMPLES
Due 11/12/14
1. Explain the similarities and differences between t-test for independent samples
and t-test for dependent samples.
similarities: both tests are examines differences between two groups of scores
and
Type of reliability
When you use it
How you do it
Test-retest
To know whether a test is reliable
over time
Parallel forms
To know if several diff forms of a
test are reliable/equivalent
(should be identical)
Correlate the score from a test
given in Time 1
One sample Z: comparing the grades of high school honors students to other students
Correlation coefficient: relationship between hours of sleep and performance on a final exam or
number of sales people to the total number of sales made
Linear regression
Observed
No
Male
Female
Total
p value:
Conclusion:
Observed
Maybe
17
13
30
Willingness to use Mental Health services
Observed
Expected Expected
Yes
Total
No
Maybe
32
11 60
12
30
43
34 90
18
45
75
45 150
30
75
0.0163138516
Since the p value is less than 0.
Amber Jacobs
HOMEWORK FOR T-TEST INDEPENDENT SAMPLES Due 11/5/14
1. Patients with high blood pressure are randomly assigned to a placebo group and a treatment
group. The placebo subjects receive an inactive pill (Group 1), and the treatment subjects
recei
Person
a
b
c
d
e
f
g
h
i
j
k
l
m
n
X
4
1
2
5
3
2
1
2
1
4
4
2
5
5
X2
16
1
4
25
9
4
1
4
1
16
16
4
25
25
X
X2
151
41
PART 2
Person
a
b
c
d
e
f
g
h
i
j
k
l
m
n
X-3
1
-2
-1
2
0
-1
-2
-1
-2
1
1
-1
2
2
X
4
1
2
5
3
2
1
2
1
4
4
2
5
5
X2
151
(X-3)2/5)
6.2
X-3
16
1
Analysis of Variance (One-Way)
Summary
Groups
Neutral
Imagine
Watch
Sample size Sum Mean Variance
19 87 4.57895 2.1462
19 133
7 2.22222
19 86 4.52632 2.26316
ANOVA
Source of Variation
SS
Between Groups
75.89474
Within Groups
119.36842
Total
195.26316
df
M
June 12, 2016
Psych 200- LL6
How does the size of a sample influence the shape of the distribution?
According to the standard error of M formula (aka the standard deviation of the sample means),
as the sample size increases, the standard error/standard de