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Chapter 3 Numerical Descriptive Measures Last (Family) Name:. First (Given) Name: Introduction From Previous Chapters: A parameter is a numerical measure that describes a characteristic of a population.
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How to fill out numerical descriptive measures

01
First, gather the data set for which you want to calculate numerical descriptive measures.
02
Next, calculate the mean by adding up all the values in the data set and dividing it by the total number of values.
03
To find the mode, identify the value that appears most frequently in the data set.
04
For the median, arrange the data set in ascending order and find the middle value. If there is an even number of values, take the average of the two middle values.
05
To calculate the range, subtract the smallest value from the largest value in the data set.
06
For the variance, determine the difference between each value and the mean, square the differences, sum them up, and divide by the total number of values.
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Finally, to find the standard deviation, take the square root of the variance.

Who needs numerical descriptive measures?

01
Researchers and statisticians often use numerical descriptive measures to summarize and analyze data.
02
Businesses might need numerical descriptive measures to understand customer behavior or market trends.
03
Educational institutions can use numerical descriptive measures to evaluate student performance and assess teaching effectiveness.
04
Government agencies may require numerical descriptive measures to track social or economic indicators.
05
Individuals might use numerical descriptive measures to analyze personal finances or track progress towards personal goals.
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Numerical descriptive measures are statistical measures used to summarize and describe the characteristics of a dataset.
Any entity or individual that is collecting and analyzing data may be required to file numerical descriptive measures.
Numerical descriptive measures can be filled out by using statistical software or manually calculating the necessary measures.
The purpose of numerical descriptive measures is to provide a concise summary of the main features of a dataset.
Information such as mean, median, mode, standard deviation, range, and percentiles must be reported on numerical descriptive measures.
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