Sample Size
Definition
The sample size refers to the number of individuals or observations included in a study or experiment.
Analogy
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.
Related terms
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.
"Sample Size" appears in:
Study guides (11)
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
Practice Questions (20+)
How does sample size affect the expected outcome in statistical inference?
How does the sample size affect the standard deviation in statistical tests?
How does the sample size impact the statistical power of a test?
For a chi square test with a sample size of 35, how large must the population be in order to satisfy the 10% rule?
How does a larger sample size affect the χ2 statistic in a chi-square test?
As sample size increases what happens to the width of the confidence interval for the slope of a regression model?
What is the minimum sample size required for conducting a t-test for the slope?
When constructing a confidence interval for a population mean, increasing the sample size will result in:
In constructing a confidence interval for a population mean when the population standard deviation is unknown and the sample size is small, which distribution should be used?
When constructing a confidence interval for a population mean, increasing the sample size will have what effect on the margin of error?
What is the recommended minimum sample size when testing a statistical claim about a population mean?
What two aspects does sample size affect when creating a confidence interval?
What happens to the critical value as the sample size increases?
What happens to the standard error as the sample size increases?
Which aspect of the margin of error changes with sample size?
To satisfy the independence condition for a statistical test, it is reasonable to believe that the population size should be at least _______ times the sample size.
What is the relationship between sample size and the width of a confidence interval for the difference in two population means?
What happens to the spread of a sampling distribution as the sample size increases?
When using the Central Limit Theorem, a _ sample size is _:
When constructing a point estimate, what does increasing the sample size generally lead to?
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