What is the Calculation for Mean and Standard Deviation with Grouped Data?

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SUMMARY

The calculation of mean and standard deviation for grouped data can be performed using midpoints for each range. In the provided example, the temperature ranges and corresponding days are used to derive midpoints, which are then multiplied by the number of days in each range. The mean is calculated by summing these products and dividing by the total number of days, while the standard deviation is computed using the squared midpoints multiplied by their respective frequencies. This method allows for an approximation despite the loss of exact data due to grouping.

PREREQUISITES
  • Understanding of basic statistics concepts such as mean and standard deviation.
  • Familiarity with grouped data and how to interpret frequency distributions.
  • Ability to perform arithmetic operations and basic algebra.
  • Knowledge of using calculators for statistical functions.
NEXT STEPS
  • Learn how to calculate mean and standard deviation for grouped data using midpoints.
  • Explore statistical software tools like R or Python's NumPy for handling grouped data analysis.
  • Study the impact of data grouping on statistical accuracy and interpretation.
  • Investigate advanced statistical methods for estimating parameters from grouped data.
USEFUL FOR

Students, educators, and professionals in statistics or data analysis who need to understand how to handle and analyze grouped data effectively.

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Homework Statement



For this set of data find the mean and standard deviation

Temp...# of days
90-94...1
85-89...3
80-84...6
75-79...12
70-74...7
65-69...1


2. The attempt at a solution

I don't know how to find the mean or standard deviation when the data is divided into ranges like this.
Can this be solved on the calculator?
Any help is appreciated.
 
Last edited:
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That depends on what you mean by "solved on the calculator". Many calculators now have built in functions to find means and standard deviations of lists of numbers, but I don't know any that have functions for means and standard deviations of grouped data.

One problem is that "70- 74... 7" could mean all 7 numbers are 70 or all 74 or spread between 70 and 74. You've lost data by grouping like that so can't get an exact value. One thing you could do is take a midpoint: assume all data in "70- 74" is actually 72. Do that for each group and enter all 30 numbers as a list. Then use the calculator function on that list.

Here's how you would do it "by hand". To find the mean enter the mid-number times the number of data points in that group: 92(1)+ 87(3)+82(6)+ 77(12)+ 72(7)+67(1) and divide that sum by 30. To find the standard deviation, multiply the square of each mid-number by the number of data points.
 
Thanks!
 

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