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Calculate all sample means.

User Alan Wayne
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Final Answer:

To calculate all sample means, you need to sum up all the individual data points and divide by the total number of samples.

Step-by-step explanation:

Calculating sample means involves the application of a fundamental statistical formula:
\( \bar{X} = (\sum X)/(n) \), where
\( \bar{X} \) represents the sample mean, ( X ) is the sum of all individual values, and ( n ) is the number of samples.

This formula encapsulates the process of finding the average of a set of data points. To obtain the sample mean, add up all the values in the samples and then divide by the total number of samples.

Understanding the significance of sample means is pivotal in statistical analysis. It provides a central measure that represents the average of a dataset, offering valuable insights into the data's central tendency. This statistical tool aids in summarizing and interpreting data, making it a cornerstone in various fields, including research, economics, and sciences.

User Stirfries
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