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Sampling Distributions Flashcards | StudBud
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Sampling Distributions
Sampling Distributions
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Answers
1
In the German Tank Problem, which was more accurate?
The simulation estimate.
The intelligence estimate.
2
The mean of the sampling distribution is = to the true value of the parameter for a statistic.
Nice estimator
Unbiased estimator
Biased estimator
Mean estimator
3
p hat means...
an observation
a probability with a hat
4
Variability is directly related to ...
Center
Outliers
Shape
Spread
5
Why do we use z-scores?
Cause they are cute.
When we want to standardize statistics.
Cause we need zzzzs to function well.
When we want to find the area of a figure.
6
Standard deviation can be found in a binomial setting directly.
False
True
7
What happens to a distribution graph when the sample gets larger and larger?
It looks more and more like a box.
It looks more and more like a weird curve.
It looks more and more like a normal curve.
It looks more and more like a curve.
8
The expected number of successes and failures are both at least 10.
Normal approximation Rule
Central limit theorem
Sampling without replacement rule
10% rule
9
When is it a good idea to CUSS?
When I lose my temper.
When I am mad.
When I want to describe my feelings about statistics.
When I want to describe a distribution.
10
Which graph is most likely the graph of the means of the sampling distribution?
What graph?
Thirda graph
First graph
Second graph
11
Which figure do you want in a distribution?
d
c
b
a
12
Statistic is ...
number that I don't like.
number that describes some characteristic of the population
number that describes some characteristic of the sample
person who is a number in a survey.
13
Parameter is ...
number that is a boundary for a curve.
number that describes some characteristic of the population
person who is romantic with everyone.
number that describes some characteristic of the sample.
14
Sampling distribution and a population should have the same ...
mean
minion
minute
mode
15
Sample distribution and sampling distribution mean the same thing.
False
True
16
When n is large, the sampling distribution of the sample mean, x bar, is approximately normal.
10% rule
Normal approximation condition
Central limit theorem
Normal condition
17
Unbiased means a perfect survey.
True
False
18
Binomial setting can be used, even without replacement, when the sample is < 10%.
Normal approximation rule
10% rule
Sampling replacement rule
central limit theorem
