Use a calculator or computer software to generate a normal quantile plot for the data in the accompanying table. Then determine whether the data come from a normally distributed population. E Click the icon to view the data set. Generate a normal quantile plot for the data. Choose the correct graph below. O A. ОВ. Oc. Q 3.00- 2.00- 1.00- 0.00- -1.00- -2.00- 3.00- 2.00- 1.00- 0.00- -1.00- -2.00- -3.00+ 3.00- 2.00- 1.00- 0.00- -1.00 t -2.00 -3.00- -3.00- O 100 200 300 400 500 X Value O 100 200 300 460 500 O 100 200 300 400 500 X Value X Value Determine whether the data come from a normally distributed population. Choose the correct answer below. O A. The distribution is not normal. The points do not show any systematic pattern that is a straight-line pattern. O B. The distribution is normal. The points show a systematic pattern that is not a straight-line pattern. O c. The distribution is not normal. The points are not reasonably close to a straight line. O D. The distribution is normal. The points are not reasonably close to a straight line and do not show a systematic pattern that is not a straight-line pattern.
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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