Estimates - AP Statistics
Card 1 of 24
What is
, or the expected value of
for any distribution?
What is , or the expected value of
for any distribution?
Tap to reveal answer
is
, or the mean, of the population. This makes sense since
literally means the expected value of
. The mean is the expected value of
.
is
, or the mean, of the population. This makes sense since
literally means the expected value of
. The mean is the expected value of
.
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No explanation available
No explanation available
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What is
, or the expected value of
for any distribution?
What is , or the expected value of
for any distribution?
Tap to reveal answer
is
, or the mean, of the population. This makes sense since
literally means the expected value of
. The mean is the expected value of
.
is
, or the mean, of the population. This makes sense since
literally means the expected value of
. The mean is the expected value of
.
← Didn't Know|Knew It →
Tap to reveal answer
No explanation available
No explanation available
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The next local election is predicted to have a
split in votes for the top two candidates. How many people should be polled to obtain a margin of error of 3% at the 95% confidence level?
The next local election is predicted to have a split in votes for the top two candidates. How many people should be polled to obtain a margin of error of 3% at the 95% confidence level?
Tap to reveal answer
If you remember the required formula, this problem is rather simple. Plug in the given numbers and simplify:



If you don't remember the formula, this problem is more challenging. Your best bet in this case is to construct the confidence interval and rearrange to solve for the required sample size.
If you remember the required formula, this problem is rather simple. Plug in the given numbers and simplify:
If you don't remember the formula, this problem is more challenging. Your best bet in this case is to construct the confidence interval and rearrange to solve for the required sample size.
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When dealing with confidence intervals, the margin of error gets smaller when z* gets and n gets .
When dealing with confidence intervals, the margin of error gets smaller when z* gets and n gets .
Tap to reveal answer
For confidence intervals, a small margin of error is preferred, as it indicates that the parameter of interest has been narrowed down to a precise interval. Having a large sample population to work from as well as a small z* (z* gets smaller as the confidence level percent gets lower) can help obtain a small margin of error.
For confidence intervals, a small margin of error is preferred, as it indicates that the parameter of interest has been narrowed down to a precise interval. Having a large sample population to work from as well as a small z* (z* gets smaller as the confidence level percent gets lower) can help obtain a small margin of error.
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No explanation available
No explanation available
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Tap to reveal answer
No explanation available
No explanation available
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The next local election is predicted to have a
split in votes for the top two candidates. How many people should be polled to obtain a margin of error of 3% at the 95% confidence level?
The next local election is predicted to have a split in votes for the top two candidates. How many people should be polled to obtain a margin of error of 3% at the 95% confidence level?
Tap to reveal answer
If you remember the required formula, this problem is rather simple. Plug in the given numbers and simplify:



If you don't remember the formula, this problem is more challenging. Your best bet in this case is to construct the confidence interval and rearrange to solve for the required sample size.
If you remember the required formula, this problem is rather simple. Plug in the given numbers and simplify:
If you don't remember the formula, this problem is more challenging. Your best bet in this case is to construct the confidence interval and rearrange to solve for the required sample size.
← Didn't Know|Knew It →
When dealing with confidence intervals, the margin of error gets smaller when z* gets and n gets .
When dealing with confidence intervals, the margin of error gets smaller when z* gets and n gets .
Tap to reveal answer
For confidence intervals, a small margin of error is preferred, as it indicates that the parameter of interest has been narrowed down to a precise interval. Having a large sample population to work from as well as a small z* (z* gets smaller as the confidence level percent gets lower) can help obtain a small margin of error.
For confidence intervals, a small margin of error is preferred, as it indicates that the parameter of interest has been narrowed down to a precise interval. Having a large sample population to work from as well as a small z* (z* gets smaller as the confidence level percent gets lower) can help obtain a small margin of error.
← Didn't Know|Knew It →
Tap to reveal answer
No explanation available
No explanation available
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Tap to reveal answer
No explanation available
No explanation available
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What is
, or the expected value of
for any distribution?
What is , or the expected value of
for any distribution?
Tap to reveal answer
is
, or the mean, of the population. This makes sense since
literally means the expected value of
. The mean is the expected value of
.
is
, or the mean, of the population. This makes sense since
literally means the expected value of
. The mean is the expected value of
.
← Didn't Know|Knew It →
Tap to reveal answer
No explanation available
No explanation available
← Didn't Know|Knew It →
Tap to reveal answer
No explanation available
No explanation available
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The next local election is predicted to have a
split in votes for the top two candidates. How many people should be polled to obtain a margin of error of 3% at the 95% confidence level?
The next local election is predicted to have a split in votes for the top two candidates. How many people should be polled to obtain a margin of error of 3% at the 95% confidence level?
Tap to reveal answer
If you remember the required formula, this problem is rather simple. Plug in the given numbers and simplify:



If you don't remember the formula, this problem is more challenging. Your best bet in this case is to construct the confidence interval and rearrange to solve for the required sample size.
If you remember the required formula, this problem is rather simple. Plug in the given numbers and simplify:
If you don't remember the formula, this problem is more challenging. Your best bet in this case is to construct the confidence interval and rearrange to solve for the required sample size.
← Didn't Know|Knew It →
When dealing with confidence intervals, the margin of error gets smaller when z* gets and n gets .
When dealing with confidence intervals, the margin of error gets smaller when z* gets and n gets .
Tap to reveal answer
For confidence intervals, a small margin of error is preferred, as it indicates that the parameter of interest has been narrowed down to a precise interval. Having a large sample population to work from as well as a small z* (z* gets smaller as the confidence level percent gets lower) can help obtain a small margin of error.
For confidence intervals, a small margin of error is preferred, as it indicates that the parameter of interest has been narrowed down to a precise interval. Having a large sample population to work from as well as a small z* (z* gets smaller as the confidence level percent gets lower) can help obtain a small margin of error.
← Didn't Know|Knew It →
What is
, or the expected value of
for any distribution?
What is , or the expected value of
for any distribution?
Tap to reveal answer
is
, or the mean, of the population. This makes sense since
literally means the expected value of
. The mean is the expected value of
.
is
, or the mean, of the population. This makes sense since
literally means the expected value of
. The mean is the expected value of
.
← Didn't Know|Knew It →