Inferential and Descriptive

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What is Descriptive Statistics?

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Descriptive statistics involves summarizing and organizing data to describe its main features, often using measures such as mean, median, mode, and standard deviation.

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What is Inferential Statistics?

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Inferential statistics involves making predictions or inferences about a population based on a sample of data, including hypothesis testing and confidence intervals.

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Give an example of Descriptive Statistics.

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An example of descriptive statistics is reporting that the average height of students in a class is 5 feet 6 inches.

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Give an example of Inferential Statistics.

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An example of inferential statistics is predicting that 60% of voters will support a candidate based on a survey of 1,000 voters.

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What is the main difference between Descriptive and Inferential Statistics?

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Descriptive statistics summarizes data, while inferential statistics makes predictions or generalizations about a population based on sample data.

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What does a hypothesis test do in Inferential Statistics?

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A hypothesis test evaluates whether there is enough evidence in a sample to support a specific claim about a population.

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What is a sample in statistics?

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A sample is a subset of individuals or observations selected from a larger population used to make inferences about that population.

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What is a population in statistics?

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A population is the entire group of individuals or observations that a researcher is interested in studying.

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What is a confidence interval?

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A confidence interval is a range of values, derived from a sample, that is likely to contain the true population parameter.

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What is the purpose of using a sample instead of a population?

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Using a sample is often more practical and cost-effective than studying an entire population, especially when the population is large.