Question

1. The Central Limit Theorem tells us that as the sample size increases, the center of the sampling distribution of x ̅ ____________.

a. increases

b. decreases

c. stays the same

2. The Central Limit Theorem tells us that as the sample size increase, the spread of the sampling distribution of x ̅ ____________.

a. increases

b. decreases

c. stays the same

3. What is the best way we know to generate data that give a fair and accurate picture of the world we rely on? It is also why we are able to draw conclusions from that data.

Answer #1

1. The Central Limit Theorem tells us that as the sample size increases, the center of the sampling distribution of x ̅

**Correct ans: c. stays the same**

**Only spread will change(decrease) and central
tendency will be more accurate.**

2. The Central Limit Theorem tells us that as the sample size increase, the spread of the sampling distribution of x ̅

**Correct ans :b. decreases**

*As accuracy will increase the spread of the sampling
distribution x ̅*

*Dear student you last question is not clear what
have you posted. Please comment with good English.(to be
meaningful). Thank you!*

The Central Limit Theorem allows us to make predictions about
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Question Central Limit Theorem
a)According to the Central Limit Theorem, what
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b)A population has a mean ?=1800 and a standard
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Which of the following statements is not consistent with
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1. The Central Limit Theorem applies to non-normal population
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3. The sampling distribution will be approximately normal when
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4. The mean of the sampling distribution will be equal to the
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_______.
.98
.44
.68
.87
.75

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The Central Limit Theorem says that when sample size n is taken
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The distribution of the sample mean is approximately
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The standard deviation is equal to that of the population.
The distribution of the population is exactly Normal.
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(05.02 LC)
The Central Limit Theorem says that when sample size n is taken
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a
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