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What is an outlier in a data set?

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An outlier is a data point that differs significantly from other observations in a dataset. It can skew the results and affect statistical analyses.

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Define population in statistics.

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The population refers to the entire group of individuals or instances about whom we hope to learn, often the group being surveyed.

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What is the difference between a population and a sample?

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A population includes all members of a specified group, while a sample is a subset of the population selected for analysis.

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What is a statistical question?

Back

A statistical question anticipates variability in the data and can be answered by collecting data that varies.

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What is the median in a data set?

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The median is the middle value when the data points are arranged in ascending order. If there is an even number of observations, it is the average of the two middle numbers.

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What is sampling in statistics?

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Sampling is the process of selecting a subset of individuals from a population to estimate characteristics of the whole population.

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What is a census?

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A census is a complete enumeration of a population, collecting data from every member.

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What is the purpose of data estimation?

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Data estimation is used to infer or predict characteristics of a population based on a sample.

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What is the difference between descriptive and inferential statistics?

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

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What is variability in statistics?

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Variability refers to how spread out or closely clustered the data points are in a dataset.