The margin of error is a measure of the uncertainty or variability in survey results. It represents the range within which the true population parameter is likely to fall.
Imagine you are trying to estimate how many jellybeans are in a jar by asking a few people to guess. The margin of error would be like the range of guesses that you expect will include the actual number of jellybeans.
Confidence Interval: A confidence interval is a range of values around an estimated parameter, such as a mean or proportion, that is likely to contain the true population value.
Sample Size: Sample size refers to the number of individuals or observations included in a study or survey.
Sampling Error: Sampling error occurs when there is a discrepancy between sample statistics and population parameters due to random variation in selecting samples from a population.
AP Statistics - 6.2 Constructing a Confidence Interval for a Population Proportion
AP Statistics - 6.3 Justifying a Claim Based on a Confidence Interval for a Population Proportion
AP Statistics - 6.8 Confidence Intervals for the Difference of Two Proportions
AP Statistics - 7.2 Constructing a Confidence Interval for a Population Mean
AP Statistics - 7.3 Justifying a Claim About a Population Mean Based on a Confidence Interval
AP Statistics - 7.6 Confidence Intervals for the Difference of Two Means
AP Statistics - 7.7 Justifying a Claim About the Difference of Two Means Based on a Confidence Interval
AP Statistics - 9.2 Confidence Intervals for the Slope of a Regression Model
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