Warm Up for AP Statistics #1

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What is a population in statistics?

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A population is the entire group of individuals or instances about whom we hope to learn.

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What is a sample in statistics?

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A sample is a subset of the population, selected for the purpose of conducting a study.

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What is the difference between descriptive and inferential statistics?

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Descriptive statistics summarize and describe the characteristics of a data set, while inferential statistics use a random sample of data to make inferences about the population.

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What is a random sample?

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A random sample is a sample that is selected from a population in such a way that every individual has an equal chance of being chosen.

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What is a parameter in statistics?

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A parameter is a numerical characteristic of a population, such as a mean or standard deviation.

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What is a statistic in statistics?

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A statistic is a numerical characteristic of a sample, used to estimate a population parameter.

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What is the Central Limit Theorem?

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The Central Limit Theorem states that the distribution of the sample means will approach a normal distribution as the sample size increases, regardless of the shape of the population distribution.

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What is a confidence interval?

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A confidence interval is a range of values, derived from a data set, that is likely to contain the value of an unknown population parameter.

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What is a hypothesis test?

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A hypothesis test is a statistical method used to make decisions about the value of a population parameter based on sample data.

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What is a null hypothesis?

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The null hypothesis is a statement that there is no effect or no difference, and it is the hypothesis that researchers aim to test.