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In a city, the proportion of people supporting a new policy is 0.57. A simple random sample of 721 people is taken. What is the probability that the sample proportion is between 0.563 and 0.578?
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The centre of the sampling distribution of proportions for a binary variable is:

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What does a smaller standard error indicate?
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What is the effect of increasing the sample size on the standard error?
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What does the standard error of the mean measure?
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What is a key implication of the Law of Large Numbers in sampling?
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The sampling distribution of the mean is the distribution we would obtain if we took all possible samples of size n from the population and computed the corresponding sample means and looked at their distribution.

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If a result is statistically significant it will necessarily be business significant.

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Statistical inference draws conclusions about a sample based on the data of the population.

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The possibility of doing statistical inference highly depends on how representative the sample is of the population under study.

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