Fill in the missing values in the contingency table.
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.
To determine a target audience for a new email package, a computer company surveyed a large random sample of potential customers, asking each whether he/she uses email on a regular basis. (The company considered "a regular basis" to be at least three times a week.) The data, as summarized in the contingency table below, were classified according to two variables: the age of the respondent ("under 18", "18-35", "36-54", "55+") and regularity of email use ("on a regular basis" or "not on a regular basis").
Each cell of the table contains three numbers: the first number is the observed cell frequency (fO); the second number is the expected cell frequency (fE) under the assumption that there is no dependence between age and regularity of email use and the third number is the following value.
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