populations and sample inferences

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What is a population in statistics?

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A population is the entire group of individuals or items that we want to study or draw conclusions about.

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What is a sample in statistics?

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A sample is a subset of the population selected for analysis, used to make inferences about the population.

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What is random sampling?

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Random sampling is a technique where each member of the population has an equal chance of being selected for the sample.

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Why is random sampling important?

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Random sampling helps to eliminate bias and ensures that the sample is representative of the population.

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What is the mean in statistics?

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The mean is the average of a set of numbers, calculated by adding all the values together and dividing by the number of values.

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How do you calculate the mean?

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To calculate the mean, sum all the data points and divide by the total number of points.

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What is the median in statistics?

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The median is the middle value in a data set when the numbers are arranged in order.

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How do you find the median?

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To find the median, arrange the data in ascending order and identify the middle number. If there is an even number of values, average the two middle numbers.

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What is the mode in statistics?

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The mode is the value that appears most frequently in a data set.

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What is an inference in statistics?

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An inference is a conclusion drawn about a population based on the analysis of a sample.