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These flashcards cover essential concepts related to estimating population proportions and determining sample sizes, including definitions, formulas, and interpretations related to confidence intervals.
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What is the population proportion?
The proportion (percentage) of the entire population that has the specified attribute.
What is the sample proportion?
The proportion (percentage) of a sample from the population that has the specified attribute.
What is a point estimate?
A single value used to estimate a population parameter.
What is the best point estimate of the population proportion?
The sample proportion, p.
Why do we use the sample proportion p as an estimator of p?
Because it is unbiased and the most consistent of the estimators.
What does a confidence interval represent?
An interval of values used to estimate the true value of a population parameter.
What is a confidence level?
The probability that the confidence interval contains the population parameter, such as 0.95 or 95%.
How is the confidence level related to alpha (α)?
The confidence level is 1 - α.
What does a critical value represent?
A number on the borderline separating sample statistics that are significantly high or low.
What is the formula for the margin of error (E)?
E = z(α/2) * √[(p̂ * q̂)/n] where p̂ is sample proportion, q̂ = 1 - p̂, and n is sample size.
How do you calculate a confidence interval for estimating a population proportion?
The formula is p - E < p < p + E.
What is the interpretation of a 95% confidence interval of 0.45 < p < 0.47?
We are 95% confident that the true population proportion p lies within this interval.
If the estimated sample size is not a whole number, what should you do?
Round the value of n up to the next larger whole number.
How many adults need to be surveyed to be 95% confident that the sample percentage is within three percentage points?
Use the formula for sample size estimation considering the desired margin of error.
What is StatCrunch?
A tool that can be used for statistical calculations, including confidence intervals for population proportion estimation.