Weekly TV-Viewing Times The A. C. Nielsen Company publishes data on the TV-viewing habits of Americans by various characteristics in Nielsen Report on Television. A sample of 20 people yielded the weekly television viewing times, in hours, is shown with the following boxplot. Please take note of the triangle which is an outlier and will contribute to determining the shape. Descriptive Statistics Mean Standard Deviation 31.2 12.564 Q1 Median Q3 IQR 22.0 30.5 37.25 15.25 Min Max Range 15.0 72.0 57.0 This ["", "", ""] displays the distribution of a ["", "", "", ""] . The shape of the distribution is ["", "", "", ""] . Since the distribution is ["", "", ""] , the best measure of center would be the ["", ""] of ["", ""] ["", ""] . This tells us that the typical person in our study ["", ""] . Since the distribution is ["", "", ""] , the best measure of spread would be the ["", ""] of ["", ""] . This ["", ""] can be interpreted to mean that approximately ["", ""] in this sample have weekly television viewing times within ["", ""] of each other. This also means that most of people in this sample watch ["", ""] of television per week. There is also ["", "", ""] outlier in our sample that watches ["", "", ""] hours of television per week. I think this outlier is ["", ""] because it is possible someone watches this much TV. This information could be important to advertising companies looking to see how much television Americans are watching and to determine the length or amount of commercials to run

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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Weekly TV-Viewing Times The A. C. Nielsen Company publishes data on the TV-viewing habits of Americans by various characteristics in Nielsen Report on Television. A sample of 20 people yielded the weekly television viewing times, in hours, is shown with the following boxplot. Please take note of the triangle which is an outlier and will contribute to determining the shape.

Descriptive Statistics

Mean	Standard Deviation
31.2	12.564

Q1	Median	Q3	IQR
22.0	30.5	37.25	15.25

Min	Max	Range
15.0	72.0	57.0

This ["", "", ""] displays the distribution of a ["", "", "", ""] . The shape of the distribution is ["", "", "", ""] . Since the distribution is ["", "", ""] , the best measure of center would be the ["", ""] of ["", ""] ["", ""] .

This tells us that the typical person in our study ["", ""] . Since the distribution is ["", "", ""] , the best measure of spread would be the ["", ""] of ["", ""] . This ["", ""] can be interpreted to mean that approximately ["", ""] in this sample have weekly television viewing times within ["", ""] of each other. This also means that most of people in this sample watch ["", ""] of television per week. There is also ["", "", ""] outlier in our sample that watches ["", "", ""] hours of television per week. I think this outlier is ["", ""] because it is possible someone watches this much TV. This information could be important to advertising companies looking to see how much television Americans are watching and to determine the length or amount of commercials to run

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Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

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