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 po Click the icon to view the data set. Generate a normal quantile plot for the data. Choose the correct graph below OA. OB. OC. Q 3.00 2.00- 1.00- 0.00- -1.00- -2.00- -3.00+ 3.00 2.00- 1.00- 0.00- -1.00- -2.00- -3.00+ 100 200 300 400 50 3.00- 2.00- 1.00- 0.00- -1.00- -2.00- -3.00- 100 200 300 400 500 X Value 100 200 300 400 50o 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 are reasonably close to a straight line. O B. The distribution is normal. The points are reasonably close to a straight line and donot show a systematic pattern that is not a straight-line pattern. O C. The distribution is not normal. The points show a systematic pattern that is not a straight-line pattern. Click to select your answer.

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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.