If P = 0.50, which is the best conclusion? a) H0 is definitely false. b) H0 is definitely true. c) There is a 50% probability th
1 answer:
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Answer:
18.
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a proportion p in a sample of size n(n being at least 30), the sampling distribution of the sample proportion will be approximately normal with mean and standard deviation
In this question:
n has to be at least 30. So the choice that answer this question, a size of n too small to use a normal curve to approximate the sampling distribution, is 18.
Answer:
<h2>Step-by-step explanation:
<h3>to understand this</h3><h3>you need to know about:</h3>- law of exponent
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