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Chapter 2 Assignment describing Data: Frequency Distributions and Graphic Presentation Name Section Score Part I Select the correct answer and write the appropriate letter in the space provided 1.
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How to fill out describing data frequency distributions

01
To fill out describing data frequency distributions, follow these steps:
02
Start by collecting a set of data that you want to describe.
03
Arrange the data in ascending order.
04
Determine the range of the data, which is the difference between the largest and smallest values.
05
Decide on the number of intervals or classes you want to use to represent the data.
06
Calculate the class width by dividing the range by the number of intervals.
07
Create the intervals by starting with the smallest value and adding the class width to obtain the upper class limits.
08
Count the number of data points that fall into each interval to create a frequency distribution table.
09
Calculate the cumulative frequencies by adding up the frequencies as you move down the table.
10
Calculate the relative frequencies by dividing the frequencies by the total number of data points.
11
Plot the frequency distribution on a histogram or bar chart to visualize the data.

Who needs describing data frequency distributions?

01
Describing data frequency distributions is useful for anyone involved in data analysis or statistics.
02
Researchers and scientists often use frequency distributions to summarize and describe their data.
03
Business analysts and market researchers use frequency distributions to analyze customer demographics and buying patterns.
04
Teachers and educators use frequency distributions to teach students about data analysis and statistics.
05
Anyone working with large datasets can benefit from using frequency distributions to summarize and understand the data.

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Describing data frequency distributions involves representing the frequency of values in a dataset.
Anyone who collects and analyzes data may need to file describing data frequency distributions.
Describing data frequency distributions can be filled out by organizing the data into categories and counting the frequency of each value.
The purpose of describing data frequency distributions is to understand the distribution of data values and identify patterns or trends.
Describing data frequency distributions should include the categories, frequencies, and possibly percentages for each value in the dataset.
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