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Last week, we worked with frequency distributions and other ways of organizing data. For this week's discussion, give your data set stating what variable is being observed and create a frequency distribution and then give the relative frequency distributions that correspond to the frequency distribution. You can use data that you find online or you can invent your own data set. Please make sure to have at least 30 data values in the data set and at least five classes in the frequency distribution. You can give relative freque in lowest terms or decimals rounded to three places as needed. Click Table in the editing menu to make the tables for this post. Let me know if y. For example: My data set is ages of 30 randomly selected people at the zoo.

Ask by Robbins Mccarthy. in the United States
Jan 22,2025

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**Data Set:** Ages of 30 randomly selected people at the zoo. --- ### Frequency Distribution | Age Range (years) | Frequency | |-------------------|-----------| | 20 – 29 | 6 | | 30 – 39 | 8 | | 40 – 49 | 7 | | 50 – 59 | 5 | | 60 – 69 | 4 | --- ### Relative Frequency Distribution | Age Range (years) | Relative Frequency | |-------------------|--------------------| | 20 – 29 | 6/30 = 0.200 | | 30 – 39 | 8/30 = 0.267 | | 40 – 49 | 7/30 = 0.233 | | 50 – 59 | 5/30 = 0.167 | | 60 – 69 | 4/30 = 0.133 | --- This distribution shows the number and proportion of people in each age group observed at the zoo.

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Bonus Knowledge

My data set consists of the number of books read by 30 students in a month. The variable being observed is the count of books each student finished. Here’s the frequency distribution: | Number of Books | Frequency | |-----------------|-----------| | 0-1 | 5 | | 2-3 | 10 | | 4-5 | 7 | | 6-7 | 5 | | 8+ | 3 | Now for the relative frequency distribution: | Number of Books | Relative Frequency | |-----------------|--------------------| | 0-1 | 0.167 | | 2-3 | 0.333 | | 4-5 | 0.233 | | 6-7 | 0.167 | | 8+ | 0.100 | The relative frequencies are calculated by dividing each frequency by the total number of observations (30 students). This helps to understand how the data is spread across different categories and provides a clearer picture of the overall trends!

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