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Formula Review p? = x / n where x represents the number of successes and n represents the sample size. The variable p? is the sample proportion and serves as the point estimate for the true population proportion.
The sample proportion is the best point estimate of the population proportion. We can use a sample proportion to construct a confidence interval to estimate the true value of a population proportion, and we should know how to interpret such confidence intervals.
The minimum sample size required to achieve the desired level of accuracy is determined before collecting the sample data. Sample size for population means: n=(z×?E)2. Sample size for population proportions: n=p×(1?p)×(zE)2.
Confidence intervals are used to estimate population proportions.
The test statistic is a z-score (z) defined by the following equation. z=(p?P)? where P is the hypothesized value of population proportion in the null hypothesis, p is the sample proportion, and ? is the standard deviation of the sampling distribution.