MHB Construct a frequency distribution using 5 classes

Click For Summary
The discussion focuses on constructing a frequency distribution for the time spent reading a political blog, using a dataset of minutes ranging from 0 to 49. Participants suggest dividing the data into five equal classes: 0-9, 10-19, 20-29, 30-39, and 40-49. The frequency distribution table includes calculations for frequency, midpoints, relative frequencies, and cumulative frequencies. The class with the greatest frequency is identified as 0-9, while the least frequency class is 40-49. This method effectively summarizes the reading time data into a clear distribution format.
rihnavy
Messages
3
Reaction score
0
41 35 29 43 16 49 32 6 20 10 26 28 47 43 7 36 13 10 0 2 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?
Class Frequency Midpoint Relative Frequency Cumulative Fre.
0- 4
-
-
-
-
-

How do you know what the classes are?
 
Mathematics news on Phys.org
rihnavy said:
41 35 29 43 16 49 32 6 20 10 26 28 47 43 7 36 13 10 0 2 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?
Class Frequency Midpoint Relative Frequency Cumulative Fre.
0- 4
-
-
-
-
-

How do you know what the classes are?

Hi rihnavy! Welcome to MHB! ;)

By dividing the range into 5 equal parts.
The minimum is 0 and the maximum is 49.
So pick 0-9, 10-19, 20-29, 30-39, 40-49.
 
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

Similar threads

  • · Replies 1 ·
Replies
1
Views
3K
Replies
1
Views
3K
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
6K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 9 ·
Replies
9
Views
2K
Replies
15
Views
3K
  • · Replies 19 ·
Replies
19
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K