Please explain how to do these questions. Using this data set attached: 1. Consider the proportion of Women with 12 month High Risk Drinking. This proportion increased between the two surveys. Compute the magnitude of the change in proportions between the two surveys for Women and the same change for Men 2. Are these four proportions statistics or parameters? 3. What is the standard error of the relevant distribution? Ignoring that the number of men in the 2012 Survey was about 17,675, and the number of women was about 18,634, assume the samples were 100 men and 100 women in each Survey
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.
Please explain how to do these questions.
Using this data set attached:
1. Consider the proportion of Women with 12 month High Risk Drinking. This proportion increased between the two surveys. Compute the magnitude of the change in proportions between the two surveys for Women and the same change for Men
2. Are these four proportions statistics or parameters?
3. What is the standard error of the relevant distribution? Ignoring that the number of men in the 2012 Survey was about 17,675, and the number of women was about 18,634, assume the samples were 100 men and 100 women in each Survey
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