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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.
According to the sum, in a test of the effectiveness of garlic for lowering cholesterol, 43 objects were treated with garlic in a processed tablet form. Cholesterol levels were measured before and after the treatment. The changes in their level of LDL have a mean of 4.2 and a standard deviation of 17.4. We need to construct a 90 % confidence interval estimate of the mean net change in LDL cholesterol after the garlic treatment.
Confidence interval=
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