Frequency Distribution: Time Reading Political Blog

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SUMMARY

The discussion focuses on constructing a frequency distribution for the time spent reading a political blog, with data ranging from 0 to 49 minutes. The proposed classes for the frequency distribution are 0-9, 10-19, 20-29, 30-39, and 40-49. Participants are tasked with calculating the midpoints, relative frequencies, and cumulative frequencies for these classes. The class with the greatest frequency is identified as 30-39 minutes, while the class with the least frequency is 0-9 minutes.

PREREQUISITES
  • Understanding of frequency distribution concepts
  • Familiarity with statistical terms such as midpoints and cumulative frequencies
  • Basic knowledge of data classification techniques
  • Experience with data analysis tools (e.g., Excel or R)
NEXT STEPS
  • Learn how to calculate relative frequencies in a frequency distribution
  • Explore cumulative frequency analysis techniques
  • Study the use of Excel for creating frequency distribution tables
  • Investigate statistical software like R for advanced data analysis
USEFUL FOR

Data analysts, statisticians, and anyone interested in understanding frequency distributions and analyzing time-related data in blogs or similar contexts.

trina6300
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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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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?
 

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