Statistics that use sample data to make conclusions about a population are called

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Multiple Choice

Statistics that use sample data to make conclusions about a population are called

Explanation:
Inferential statistics are statistics that use sample data to draw conclusions about a population. Since it's rarely feasible to measure everyone, you take a sample and apply probability to infer population parameters, estimate them, and quantify uncertainty with confidence intervals or hypothesis tests. For example, polling a sample of voters to estimate overall support for a candidate illustrates making inferences about a larger group from partial data. Descriptive statistics, on the other hand, summarize the data you have (like the mean or standard deviation) without extending conclusions beyond the observed data. Frequency tables and bar graphs are ways to organize or visualize data, not a type of statistics focused on inferring population properties.

Inferential statistics are statistics that use sample data to draw conclusions about a population. Since it's rarely feasible to measure everyone, you take a sample and apply probability to infer population parameters, estimate them, and quantify uncertainty with confidence intervals or hypothesis tests. For example, polling a sample of voters to estimate overall support for a candidate illustrates making inferences about a larger group from partial data. Descriptive statistics, on the other hand, summarize the data you have (like the mean or standard deviation) without extending conclusions beyond the observed data. Frequency tables and bar graphs are ways to organize or visualize data, not a type of statistics focused on inferring population properties.

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