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. OB. в. Oc. Oc. 3.00 2.00- 1.00- 0.00- -1.00- -2.00- -3.00- ó 100 200 30o 400 s00 3.00 2.00- 1.00어 0.00- -1.00- -2.00- -3.00- O 100 200 300 400 s00 3.00 2.00- 1.00어 0.00- -1.00- -2.00 -3.00- O100 200 300 400 500 X Value X Value X Value Determine whether the data come from a normally distributed population. Choose the correct answer below. O Data Table - X O A. The distribution is not normal. The points are not reasonably close to a straight line. O B. The distribution is normal. The points show a systematic pattern that is not a straight-line pattern. OC. The distribution is not normal. The points do not show any systematic pattern that is a straight-line pattern. Space Flight Durations (hours)O 350 O 200 100 300 200 350 250 200 O D. The distribution is normal. The points are not reasonably close to a straight line and do not show a systematic pe 100 400 450 200 250 100 450 150 50 450 300 200 50 350 250 150 350 100 50 100 200 400 100 450 150 400 200 350

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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.