Use the gss.sav data file to answer the following: Perform the appropriate analyses to test whether the average number of hours of daily TV viewing (variable tvhours) is the same for men and women. Write a short summary of the results, including appropriate charts to illustrate your findings. Be sure to look at the distribution of hours of TV viewed separately for men and women. b. If you found a statistically difference between average hours watched by men and women, would you necessarily conclude that men and women do not watch the same amount of television? What other nonstatistical explanations are possible for your findings?
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Use the gss.sav data file to answer the following:
Perform the appropriate analyses to test whether the average number of hours of daily TV viewing (variable tvhours) is the same for men and women. Write a short summary of the results, including appropriate charts to illustrate your findings. Be sure to look at the distribution of hours of TV viewed separately for men and women.
b. If you found a statistically difference between average hours watched by men and women, would you necessarily conclude that men and women do not watch the same amount of television? What other nonstatistical explanations are possible for your findings?
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