Examine the normal quantile plot and determine whether it depicts sample data from a population with a normal distribution. 3.00¬ 2.00- 1.00- 0.00- -1.00- -2.00- -3.00+ 60 80 100 12o 140 X Does the normal quantile plot depict sample data from a population with a normal distribution? A. Yes. The pattern of the points is reasonably close to a straight line. B. No. The points do not lie close to a straight line. C. No. The points exhibit some systematic pattern that is not a straight-line pattern. D. Yes. The points are evenly distributed above and below the mean, 0.
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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