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When we describing the behavior in a distribution of a quantitative variable, what aspects should we be sure to include? Select all that apply: The shape and unusual values (outliers). How much variability or spread we see. The exact numbers for all data values. Where the values tend to be centered.

When we describing the behavior in a distribution of a quantitative variable, what aspects should we be sure to include? Select all that apply: The shape and unusual values (outliers). How much variability or spread we see. The exact numbers for all data values. Where the values tend to be centered.

MATLAB: An Introduction with Applications
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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When we describing the behavior in a distribution of a quantitative variable, what aspects should we be sure to include? Select all that apply: The shape and unusual values (outliers). How much variability or spread we see. The exact numbers for all data values. Where the values tend to be centered.
Transcribed Image Text:When we describing the behavior in a distribution of a quantitative variable, what aspects should we be sure to include? Select all that apply: The shape and unusual values (outliers). How much variability or spread we see. The exact numbers for all data values. Where the values tend to be centered.
Which of the following describes a sample? O A value that is not numerical. O A list of some (or a subset) of the data that we are interested in. O The list of all of the data we are interested in. A measurement or calculation using all the data we are interested in. A measurement or calculation using the data sampled.
Transcribed Image Text:Which of the following describes a sample? O A value that is not numerical. O A list of some (or a subset) of the data that we are interested in. O The list of all of the data we are interested in. A measurement or calculation using all the data we are interested in. A measurement or calculation using the data sampled.
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