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PSYC 3301 - Exam Review Flashcards | StudBud
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PSYC 3301 - Exam Review
PSYC 3301 - Exam Review
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The following review questions are based on the review questions given to us by Dr. Martin.
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38 cards
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Questions
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Answers
1
Literally, the operations used to measure it.
Parameter
Variable
Characteristic
Operational Definition
2
Scale: Rank order
Interval
Ratio
Nominal
Ordinal
3
Single sample, 2 different variables measured, question is whether variables are related.
z-test
t-test for r
independent samples t-test
t-test for correlated groups
4
A collection of measurements.
Parameter
Data
Statistic
Scale
5
In general, statistics can only establish
covariation
temporal precedence
internal validity
all of the above
6
Single sample, single DV measured twice under 2 levels, determines whether conditions differ.
t-test for correlated groups
One-way between subjects ANOVA
independent samples t-test
paired samples t-test
7
Two samples, single DV measured 3 or more times under 3 or more levels.
independent samples t-test
one-way repeated measures ANOVA
2x2 within subjects ANOVA
t-test for correlated groups
8
Single sample, a single DV measured 3 or more times under 3 or more different levels of an IV.
one-way between subjects ANOVA
one-way repeated measures ANOVA
single-samples t-test
one-way within subjects ANOVA
9
The probability of rejecting H
0
when it is false is called the _______ of an inferential test.
venom
power
precision
leverage
10
Scale: Has a true 0 (twice as much, half as much, etc.)
Ratio
Nominal
Ordinal
Interval
11
Scale: Between ranks are equal.
Interval
Ratio
Nominal
Ordinal
12
Rejecting H
0
when in fact H
0
is true and H
1
is false,is a:
Type II error
Type III error
Type alpha error
Type I error
13
Single sample, unknown μ & ο, assumed theoretical value of μ is different from population.
t-test for r
paired samples t-test
one way repeated measures ANOVA
single sample t-test
14
Failing to reject H
0
, when in fact H
0
is true and H
1
is false is a:
None of the above
Type I error
Type II error
Type alpha error
15
Subjects are split into groups, that are subject to different levels of the other IV.
2x2 within subjects ANOVA
2x2 between subjects ANOVA
2x2 mixed ANOVA
16
Measured just once, each group subject to a different combination of the levels of each IV.
2x2 mixed ANOVA
2x2 within subjects ANOVA
2x2 between subjects ANOVA
17
Scale: Distinguishes classes of things.
Nominal
Ordinal
Interval
Ratio
18
3 or more samples, single DV measured once per subject per group, subject to 3+ levels of IV.
t-test for r
one-way between subjects ANOVA
t-test for correlated groups
independent samples t-test
19
1. Djokovic, 2. Nadal, 3. A. Zverev, 4. Federer, 5. del Potro, 6. Anderson, 7. Nishikori
Ratio
Interval
Nominal
Ordinal
20
Set of all elements in nature that you're interested in studying.
Statistic
Parameter
Sample
Population
21
#0 - Love, #5 - Smith, #9 - Frye, #13 - Thompson
Nominal
Ratio
Interval
Ordinal
22
As effect size increases,
the power of an inferential test decreases
the probability of a type II error increases
the probability of a Type I error increases
the power of an inferential test increases
23
To estimate how dispersed or variable feelings of threat are, the researcher could use:
μ
x
s
ο
24
In American Football: The number of yards needed for a 1st Down.
Nominal
Interval
Ordinal
Ratio
25
Which of the following is NOT a measure of central tendency?
Mean
Median
Standard Deviation
Mode
26
Single sample, known population parameter μ & ο, whether sample is different from population.
paired samples t-test
z-test
single sample t-test
t-test for r
27
p > 0.05 means the result is significant.
False
True
28
A parameter is...
...none of the above
...a characteristic of a population.
...a characteristic of a sample.
...a characteristic of an individual.
29
A subset of elements from a population.
Statistic
Population (obviously the wrong answer)
Sample
Parameter
30
To estimate how threatened KSU freshmen feel, the researcher could use:
s
μ
ο
x (idk how to type it, 'mkay?)
31
Continuous variables are only able to take on integer values.
False
True
32
Internal validity refers to a study's ability to:
generalize to the population
detect a true effect
isolate causal relationships among variables
assert the null hypothesis
33
To assign numbers to aspects of nature according to a set of rules.
Datum
Parameter
Statistic
Measure
34
Characteristic of a population
Statistic
Parameter
Sample
Variable
35
A number calculated from sample data.
Sample
Statistic
Popuation
Parameter
36
V. Williams d. Kvitová 4-6, 7-5, 6-4 (Go Queen Vee!)
Interval
Nominal
Ratio
Ordinal
37
Sums of squares, standard deviation, range, and z-scores are measures of what?.
Variability
Central Tendency
38
Question is whether the 2 levels of either IV are different from each other.
2x2 within subjects ANOVA
2x2 between subjects ANOVA
2x2 mixed ANOVA
