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AFDA Unit 7: Intro to Statistics Day 1 Notes: Measures of Central TendencyName: ___ Block: ___ Date:___Today we will Calculate mean, median, mode, range, and midrange Discuss the five number summary
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To fill out measures of central tendency, follow these steps:
02
Decide on the dataset you want to analyze.
03
Calculate the mean by adding up all the values in the dataset and dividing by the number of values.
04
Calculate the median by arranging the values in the dataset in ascending order and finding the middle value.
05
Calculate the mode by finding the value(s) that appear most frequently in the dataset.
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Calculate the range by subtracting the smallest value from the largest value in the dataset.

Who needs measures of central tendency?

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Measures of central tendency are useful for various individuals and fields, including:
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- Researchers who want to summarize and analyze data from experiments or surveys.
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- Statisticians who need to understand the distribution and characteristics of a dataset.
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- Economists who study patterns in economic data.
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- Social scientists who examine social phenomena.
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- Business analysts who analyze sales or performance data.
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- Educators who want to understand the performance of students or evaluate teaching methods.
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Measures of central tendency are statistical metrics that describe the center or typical value of a dataset, including the mean, median, and mode.
Organizations and individuals who collect data that requires statistical reporting may be required to file measures of central tendency, particularly for regulatory or compliance purposes.
To fill out measures of central tendency, one should gather the data, calculate the mean, median, and mode, and report these values in the designated format prescribed by the filing authority.
The purpose of measures of central tendency is to provide a summary statistic that represents the center of a dataset, helping to analyze and interpret data more easily.
The reported information typically includes the calculated mean, median, and mode, along with relevant context about the dataset from which these measures were derived.
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