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
- 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.
|
Mean |
Standard |
|
31.2 |
12.564 |
|
Q1 |
Median |
Q3 |
IQR |
|
22.0 |
30.5 |
37.25 |
15.25 |
|
Min |
Max |
|
|
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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