The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d).(a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A.The variable "weekly time spent watching television" is likely skewed left, not normally distributed. B.The variable "weekly time spent watching television" is likely normally distributed. C.The variable "weekly time spent watching television" is likely uniform, not normally distributed. D.The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. E.The variable "weekly time spent watching television" is likely skewed right, not normally distributed.

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Description: The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d).(a) Do you think the variable "weekly time spent watching telev

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Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 94E

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The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d).

(a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have?

The variable "weekly time spent watching television" is likely skewed left, not normally distributed.

The variable "weekly time spent watching television" is likely normally distributed.

The variable "weekly time spent watching television" is likely uniform, not normally distributed.

The variable "weekly time spent watching television" is likely symmetric, but not normally distributed.

The variable "weekly time spent watching television" is likely skewed right, not normally distributed.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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