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PSYC 210 Exam 2 Review Flashcards | StudBud
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PSYC 210 Exam 2 Review
PSYC 210 Exam 2 Review
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1
If someone has a z score of -1.0, what does this mean?
They are 1 standard deviation below the mean
They are at the 40th percentile
They are 1 standard deviation above the average
They are 1 standard error below the mean
2
In a normal distribution, what percentage of scores fall between 1 SD below the mean and 1 SD above the mean?
82%
50%
68%
34%
3
"The chance of a die showing an even number is 50%" is an example of a(n):
confirmation bias
personal probability
illusory correlation
expected relative-frequency probability
4
According to CLT, as sample size __________, standard error ___________
increases, increases
increases, decreases
decreases, increases
decreases, decreases
5
If we reject the null when the null is
false
, we've made a:
Type II Error
Correct Decision
Type III Error
Type I Error
6
The null hypothesis is a statement that:
predicts no mean difference/effect/relationship between populations
predicts a mean difference/effect/relationship between populations
7
Maria flips a coin 10 times to see how many times it lands on tails. In this scenario,
each coin flip
is a(n):
success
test
trial
outcome
8
If the sample for my study is all my students in PSYC210, what is one limitation of my results (among MANY others)
generalizability
can't establish causality
not ethical
random assignment
9
The distribution of scores in a sample (drawn from a normal population) will approach normality as:
variance increases
sample size decreases
standard deviation increases
sample size increases
10
Which of the z scores corresponds to the raw score farthest from the mean of the distribution?
z = 3
z =-2.5
z = -3.2
z = 1.8
11
In a normal distribution, what percentage of scores fall between 2 SD below the mean and 2 SD above the mean?
86%
99%
50%
96%
12
If we reject the null when the null is
true
, we've made a:
Type III Error
Correct Decision
Type I Error
Type II Error
13
According to CLT, as sample size _________, the distribution of sample means more closely approximates a normal shape.
decreases
increases
14
If we fail to reject the null when the null is
false
, we've made a:
Type II Error
Type I Error
correct decision
Type III Error
15
When each selected participant has an equal chance of being in any of the experimental conditions/groups, it's called:
Confound reduction
Experimental assignment
Random sampling
Random assignment
16
If n is at least __, the distribution of sample means will be ~ normal, even when the underlying pop is skewed
30
20
50
25
17
Our sample mean has z-statistic of 2.0, what does this mean?
2 standard errors above the mean
They are the 74th percentile
2 standard deviations below the mean
2 standard deviations above the mean
18
The research (alternative) hypothesis is a statement that:
predicts a mean difference/effect/relationship between populations
predicts no mean difference/effect/relationship between populations
19
In a normal curve, which percentile corresponds to a z score of 1.0?
70th
55th
84th
16th
20
Jack needs money, so he signs up for an advertised drug trial that compensates its participants. Recruiters are using:
random sampling
volunteer sampling
representative sampling
snowball sampling
21
If my score on the exam has a z-score of 0, what does this mean
My exam score is the same as the mean exam score
My exam score is 0
My exam score is the lowest
My exam score is the highest
22
I'm studying political attitudes of college students so I pass out a survey to you all in class. This is an example of:
a dumb study
a convenience sample
a volunteer sample
a random sample
23
The Central Limit Theorem (CLT) ensures that our sampling distribution will always...
be positively skewed
be normally distributed, no matter the shape of the raw data
be negatively skewed
be normally distributed, unless the raw data was skewed
24
When every member of a population has an equal chance of being selected to participate in a study, it's called:
Random assignment
Convenience sampling
Random sampling
Volunteer sampling
25
The standard deviation of the distribution of sample means is called the
spread
variability
standard error
standard deviation
26
What is the primary benefit of having data that is normally distributed...
Don't need a large sample
Can make perfectly accurate estimates
Can do statistical analyses
Can compare a score to a distribution with known percentiles, mean, and SD
27
"There is a 20% chance that I'll be late for class tomorrow" is an example of a(n):
expected relative-frequency probability
confirmation bias
personal probability
illusory correlation
28
If my test score falls 3 SD's below the mean, my z-score is...
z = -3
z = 3
z = 2
z = -2
29
Maria flips a coin 10 times to see how many times it lands on tails. In this scenario,
landing on tails
is termed a(n):
result
outcome
success
trial
30
Statistical probability requires that the outcome of each trial is ____ the outcome from the prior trial.
related to
independent of
temporally distanced from
dependent on
31
In a normal distribution, what percentage of scores fall below the mean?
50%
34%
16%
Depends
32
If we fail to reject the null when the null is
true
, we've made a:
Type I Error
Type III Error
Correct Decision
Type II Error
33
What does the symbol "µM" stand for?
standard deviation
standard error
sample mean
mean of the sampling distribution of sample means
34
What is the primary benefit of being able to assume the underlying sampling distribution is approximately normal...
Can compare our sample mean to known distribution of sample means
Can perform statistical tests
Can compare a score to a known distribution of scores
Don't need to compute descriptive statistics
35
Maria flips a coin 10 times to see how many times it lands on tails. T
he result of each coin flip
is a(n):
heads
success
trial
outcome
36
What is an illusory correlation?
When two variables appear to be associated when they are not
A correlation between two illusions
Confirmation bias
As variable X increases, variable Y increases