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422

Chapter 10: Sampling Distributions and the Central Limit Theorem

Table 10-3:

Central Limit Theorem for Sample Proportions

Note that the normality assumption will improve as the sample size

increases.

Since the sampling distribution of the sample proportion

̂

is approximately

normally distributed for large enough sample sizes with

̂

, and

standard deviation

̂

, we can compute

-scores for observed

̂

values.

Also, we will be able to compute probabilities associated with these

̂

values. The equation which is used to compute the associated

z

-score is

given next.