The following data for x were determined: 174, 152, 164, 116, 154, 158, 162. The mean of this set is 154.3 and its standard deviation is 18.4. You will use Dixon's Q test to decide if the 4th value is an outlier, and whether it should retained at the 95 % confidence level. To do this the following are necessary; 1. The gap value between the suspected outlier and its neighbor, d = 2. The range of the date, w =
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.
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