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Basic Stats
Basic Stats
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Answers
1
Which is the probability of getting two events if you replace the first even back into the population?
Probability of Dependent Events (1/6 x 1/5)
Probability of Independent Events (ex. 1/6 x 1/6)
2
Between groups variance is variance you ___ and within group variance is variance that you ___
Can't explain; can explain
Can explain; can explain
Can explain; can't explain
Can't explain; can't explain
3
We are more likely to know ____ because we set
alpha
before the study
Type I error
Type II error
SEM
The mean
4
Select all the tests that are between-subjects
All of the above
Independent groups t-test
One-way ANOVA
Chi-Square
5
The SE of sampling is __ the pop. SD when sample size is greater than 1
Equal to
Different from
Less than
Greater than
6
Z-scores are standard scores
False
True
7
Scatterplots are used in correlation
False
True
8
Experiments
are when groups are pre-existing
True
False
9
What is the middle number of the distribution?
Range
Mean
Median
Mode
10
Between subject designs protect against carryover effects
False
True
11
What is the
second
step of the scientific research method?
Identify a problem
Determine the observable consequences of the hypothesis/research question
Formulate a hypothesis/research questions
Define the problem
12
Which scale
represent the distance between the numbers are equal
(Likert scales)
Nominal
Ordinal
Ratio
Interval
13
What is the average score of the distribution?
Range
Mode
Median
Mean
14
For this class, bivariate relations are represented with:
A line
Dots
Means
Curves
15
The Tukey CD helps you to compare the ___ of each group in your ANOVA
Means
Medians
Standard deviations
Modes
16
Select all the tests that are within-subjects
Repeated Measures ANOVA
One-sample z-test
Only ♢ and △
Correlated groups t-test
17
Critical Difference (CD) is the smallest difference between two sample means needed to infer that pop. means are diff.
True
False
18
Select all the tests that have 1 level of IV
One-sample z-test
One-way ANOVA
Only ♢ and △
One-sample t-test
19
z=\left(\frac{X-µ}{σ}\right)is the equation for converting raw scores into z-scores
True
False
20
s.hat_{xbar}=\frac{s.hat}{\sqrt{N}} is used to estimate population SD in t-test, then use t=\frac{xbar-μ}{s.hat_{xbar}}
True
False
21
Correlated groups t-test has a ___ design and independent groups t-test has a ___ design
Experimental; non-experimental
Between subjects; within subjects
Within subjects; between subjects
Non-experimental; experimental
22
What are extraneous variables in research?
Neither of these
Confounding
Disturbance
Both of these
23
As one variable increases, so does the other
Positive correlation
Negative correlation
24
Which sign do we use to
estimate
the population
mean
(We use
sample
to est. pop.; Greek = pop. & normal letters = samp.)
x-bar
s-hat
S
X
25
Chi-square is used when both variables are qualitative (nominal) and between subjects
True
False
26
Each participant is in only one comparison group (receives only one level of the IV)
All subjects
No subjects
Between subjects
Within subjects
27
Probabilities range from:
-1 to +1
1 - 10
0 - 1.00
-2 to +2
28
Which is the probability of getting two events if you don't replace the first even back into the population?
Probability of Independent Events (ex. 1/6 x 1/6)
Probability of Dependent Events (ex. 1/6 x 1/5)
29
Independent groups t-test has a degrees of freedom of N - 2
False
True
30
The best predictor of someone's score on a DV when you have no IV is the mean of the DV
False
True
31
In this class, IV are
usually
qualitative and DV are quantitative
True
False
32
Sampling error:
None of the above
Number of independent observations that are "free to vary"
Diff. random samples from the same population produce diff. sample means
An estimate
33
Interval and Ratio are
quantitative (can do math on it)
False
True
34
2, 3, 5, and 10 are psychologically pleasing group sizes for making groups in stats
False
True
35
In this class, we've only learned a 2x2 chi-square, so critical value is always +3.841
True
False
36
Within subject designs are said to have more power than between subject designs
False
True
37
What is the
third
step of the scientific research method?
Formulate a hypothesis/research questions
Define the problem
Identify a problem
Determine the observable consequences of the hypothesis/research question
38
Most people stack up around the higher scores for negative skew
True
False
39
Which scale means that the
numbers represent the name/labels of the group
the participants are assigned to
(cat vs. dog)
Interval
Ratio
Nominal
Ordinal
40
Which scale means that the
numbers represent the rank
the participants are assigned to
(oldest to youngest sibling)
Nominal
Ordinal
Interval
Ratio
41
Which graph do you use for
quantitative
variables?
Histogram (touch)
Frequency
Scatterplot
Bar (don't touch)
42
Degrees of freedom (DF):
Number of independent observations that are "free to vary"
An estimate
Space between intervals
None of the above
43
What is the most common number or category?
Range
Median
Mean
Mode
44
Each person's scores is called an
observation
, represented with the letter
X
in statistics
True
False
45
AKA Repeated Measures. All participants are in all groups (they receive all levels of the IV)
All subjects
Between subjects
No subjects
Within subjects
46
Nominal and Ordinal scales are
qualitative (can't do math on it)
False
True
47
Non-experiments
are when the researcher creates groups and randomly assigns people to them
False
True
48
What is the
first
step of the scientific research method?
Determine the observable consequences of the hypothesis/research question
Identify a problem
Test the hypothesis
Formulate a hypothesis/research questions
49
Non-experiments are always between-subject designs
False
True
50
The closer you are to -1 or +1, the stronger the correlation coefficient
False
True
51
What is the
fifth
step of the scientific research method?
Identify a problem
Determine the observable consequences of the hypothesis/research question
Test the hypothesis
Formulate a hypothesis/research questions
52
The central limit theorem states that the mean of the distribution of means is equal to the mean of the population
False
True
53
What is the
fourth
step of the scientific research method?
Define the problem
Determine the observable consequences of the hypothesis/research question
Identify a problem
Formulate a hypothesis/research questions
54
Select all the tests that have 3 levels of IV
Correlated groups t-test
Only ◯ and △
Repeated Measures ANOVA
One-way ANOVA
55
For every comparison you make using a t-test, alpha increases by multiplying the alpha by the number of comparisons
Type II error
Beta
Familywise error
1 - Beta
56
Beta and R-square are effect sizes
False
True
57
σ_{xbar}=\left(\frac{σ}{\sqrt{N}}\right)is the equation for standard error for one-sample z-tests
False
True
58
Cohen's d measures:
How many people the manipulation will affect
Whether an effect is statistically significant
Difference between groups in standard deviation units
The proportion of the variance of the DV is explained by the IV
59
Reasons that psychology uses statistics:
To inform best practices
To modify theory
To develop measures
All of the above
60
Which is not a scale of measurement?
Value
Nominal
Interval
Ratio
61
Pick a nominal variable (quiz)
Temperature in Fahrenheit
Ethnicity
Hours of sleep
Birth order
62
We typically want __ power bc it is the probability of finding a significant result when you should (think .05 v. .01)
We don't care about power
Less
More
The same amount
63
What is the difference between the highest and lowest number?
Mean
Mode
Median
Range
64
Which scale
represent the distance between the numbers are equal and has a true 0 (money)
Interval
Ratio
Nominal
Ordinal
65
Probability has a probability of ___
Beta
1 - Beta
Alpha
1 - Alpha
66
As one variable increase the other decreases
Positive correlation
Negative correlation
67
What differs one-sample t-test from one-sample z-tests?
We don't know sigma
We compare x-bar to mu
We know population mean (mu)
We test a null hypothesis
68
Mean = Median = Mode
True
False
69
Which graph do you use for
qualitative
variables?
Frequency
Histogram (touch)
Scatterplot
Bar (don't touch)
70
Rejecting the null, when you should have fail to reject (null is true; false positive)
Type II error (1 - Beta)
Type 1 error (alpha)
71
Tukey tests compare two group means to each other and find out if the means are diff. enough to be stat. diff.
True
False
72
The two types of tables for
quantitative
variables are ungrouped (less than 10 values) and grouped (more than 10)
False
True
73
In one-sample t-test, degrees of freedom is equal to N-1
False
True
74
Select all the tests that have 2 levels of IV
Only ♢ and △
Chi-Square
Correlated groups t-test
Independent groups t-test
75
As compared to between-subjects designs, within subjects designs...
Have more power so need fewer subjects
All of the above
Control for extraneous variables
Have potential "carry-over" effects & might introduce demand characeristics
76
Select the factor that will increase statistical power
Directional
Increasing intensity of the experimental manipulation
Bigger sample size
Higher alpha
77
Most people stack up around the lower scores for positive skew (ex. F-scores)
True
False
78
What is frequency?
The pitch of something
None of the above
How high or low
The total number of times that an observation occurs
79
Most people score around the mean; 50% fall at or below the mean
False
True
80
Disturbance variable is when it looks like it affects the DV, but the DV is really caused by another IV
False
True
81
Failing to reject the null, when you should have reject (null is false; false negative)
Type 1 error (alpha)
Type II error (1 - Beta)
82
In science we assume that the null hypothesis (H0) is true (believe in H1, but test H0)
True
False
83
Correlations is the only test (we've learned) that is used for two quantitative variables
True
False
84
Which sign do we use to
estimate
the population
SD
(We use
sample
to est. pop.; Greek = pop. & normal letters = samp.)
X
x-bar
S
s-hat
85
2σ is a common criterion for a score being rare
True
False
86
Select the qualitative variable
Miles on a commute
Receiving treatment or no treatment
Empathy
Hours of sleep