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UkoKoshka [18]
2 years ago
6

True or False: In a pooled sample proportion, two samples are combined to estimate this single p instead of estimating p1 and p2

separately.
Mathematics
1 answer:
garik1379 [7]2 years ago
4 0

The pooled sample proportion requires two samples combined to estimate the single p instead of estimating p1 and p2 separately. Therefore, it's true.

<h3>What is a pooled sample?</h3>

It should be noted that the pooled sample of a proportion is the weighted average of the proportion from the two samples.

In this case, the combined pool sample is called the poooled sample proportion and it's used in expression of the standard error.

In conclusion, the correct option is true.

Learn more about sampling on:

brainly.com/question/24466382

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Answer:

The standard deviation of the distribution of sample means for samples of size 60 is of 1.2264.

Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

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This means that \sigma = 9.5

Sample of 60:

This means that n = 60

What is the standard deviation of the distribution of sample means for samples of size 60?

s = \frac{\sigma}{\sqrt{n}} = \frac{9.5}{\sqrt{60}} = 1.2264

The standard deviation of the distribution of sample means for samples of size 60 is of 1.2264.

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Find the area of the shape shown below.
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