Frequency Distribution: Time Reading Political Blog

In summary, the data represents the time, in minutes, spent reading a political blog in a day. A frequency distribution was constructed using 5 classes, with the lowest value being 0 and the highest value being 49. The classes are divided into 0-9, 10-19, 20-29, 30-39, and 40-49. The table includes the midpoints, relative frequencies, and cumulative frequencies. The class with the greatest frequency is 30-39, and the class with the least frequency is 0-9.
  • #1
trina6300
1
0
The data represent the​ time, in​ minutes, spent reading a political blog in a day. Construct a frequency distribution using 5 classes. In the​ table, include the​ midpoints, relative​ frequencies, and cumulative frequencies. Which class has the greatest frequency and which has the least​ frequency?
11
12
23
47
31

49
11
11
36
31
39
47
31
46
33
25
48
35
0
15
 
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  • #2
Hi Trina, welcome to MHB!

Did you try anything? Where are you stuck?
Ah well, I'll just throw something out there to see what we can do.

The lowest value is 0 and the highest value is 49.
We can divide them into the classes 0-9, 10-19, 20-29, 30-39, and 40-49.
How many people spent between 0 and 9 minutes reading a political blog?
 

FAQ: Frequency Distribution: Time Reading Political Blog

What is a frequency distribution?

A frequency distribution is a table or graph that shows the number of times a particular value or range of values occurs in a dataset. It helps to summarize and organize data in a meaningful way.

How is time reading political blog related to frequency distribution?

Time reading political blog can be used as a variable in a dataset, and a frequency distribution can be created to show the distribution of time spent reading political blogs. This can provide insights into the popularity and engagement of political blogs.

What are the benefits of using frequency distribution in analyzing time reading political blog?

Frequency distribution allows for a quick and easy understanding of the distribution of time spent reading political blogs. It can also help identify trends and patterns in the data, such as peak reading times or popular topics.

How do you create a frequency distribution for time reading political blog?

To create a frequency distribution for time reading political blog, you would first need to collect data on the amount of time spent reading political blogs. Then, you would group the data into categories or intervals (e.g. 0-5 minutes, 5-10 minutes, etc.) and count the number of occurrences in each category. Finally, you can present the data in a table or graph to show the frequency distribution.

What are some limitations of using frequency distribution in analyzing time reading political blog?

One limitation is that it can oversimplify the data and not provide a complete picture. It also does not account for individual differences in reading speed or comprehension. Additionally, the categories or intervals chosen can affect the results and may not accurately represent the data.

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