The sample size refers to the number of individuals or observations included in a study or experiment.
Think of the sample size as the number of ingredients you use when baking cookies. The more ingredients you have, the more accurate your taste test will be.
Population: The population is the entire group that you want to study or make conclusions about.
Margin of Error: The margin of error is a measure of how much the results from a sample might differ from the true population value.
Random Sampling: Random sampling is a method where each individual in a population has an equal chance of being selected for the sample.
AP Statistics - 6.7 Potential Errors When Performing Tests
AP Statistics - 6.10 Setting Up a Test for the Difference of Two Population Proportions
AP Statistics - 7.2 Constructing a Confidence Interval for a Population Mean
AP Statistics - 7.5 Carrying Out a Test for a Population Mean
AP Statistics - 7.7 Justifying a Claim About the Difference of Two Means Based on a Confidence Interval
AP Statistics - 8.1 Introducing Statistics: Are My Results Unexpected?
AP Statistics - 8.2 Setting Up a Chi Square Goodness of Fit Test
AP Statistics - 9.1 Introducing Statistics: Do Those Points Align?
AP Statistics - 9.2 Confidence Intervals for the Slope of a Regression Model
AP Statistics - 9.3 Justifying a Claim About the Slope of a Regression Model Based on a Confidence Interval
AP Statistics - 9.4 Setting Up a Test for the Slope of a Regression Model
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