This histogram shows the heights of 20 students in a statistics class. Explain why it is not appropriate to find summary statistics for this distribution. Frequency 4- 3- 2- 1- T 0+ 60 65 70 75 Height (Inches) Choose the correct answer below. OA. Since there appear to be two modes, this data probably represents men and women and should be split into those two groups before finding any summary statistics. OB. The number of data values is too small for summary statistics to be meaningful. OC. Since the data appear to be bimodal, no other measures of center or spread can be calculated. OD. Since the distribution is not symmetric, summary statistics would be meaningless.
This histogram shows the heights of 20 students in a statistics class. Explain why it is not appropriate to find summary statistics for this distribution. Frequency 4- 3- 2- 1- T 0+ 60 65 70 75 Height (Inches) Choose the correct answer below. OA. Since there appear to be two modes, this data probably represents men and women and should be split into those two groups before finding any summary statistics. OB. The number of data values is too small for summary statistics to be meaningful. OC. Since the data appear to be bimodal, no other measures of center or spread can be calculated. OD. Since the distribution is not symmetric, summary statistics would be meaningless.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:This histogram shows the heights of 20 students in a statistics class. Explain why it is not appropriate to find summary statistics for this distribution.
Frequency
4-
3-
2-
1-
T
0+
60
65 70 75
Height (Inches)
Choose the correct answer below.
OA. Since there appear to be two modes, this data probably represents men and women and should be split into those two groups before finding any summary statistics.
OB. The number of data values is too small for summary statistics to be meaningful.
OC. Since the data appear to be bimodal, no other measures of center or spread can be calculated.
OD. Since the distribution is not symmetric, summary statistics would be meaningless.
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