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. O A. OB. O B. 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- 3.00- 2.00- 1.00- 0.00- -1.00- -2.00- 3.00 -2.00 -3.00+ O 100 200 300 400 soo X Value O 100 200 30 400 s00 X Value O 100 200 300 400 sóo X Value Determine whether the data come from a normally distributed population. Choose the correct answer below. - X Data Table O A. The distribution is not normal. The points show a systematic pattern that is not a straight-line pattern. O B. The distribution is not normal. The points are not reasonably close to a straight line. OC. The distribution is normal. The points are reasonably close to a straight line and do not show a systematic pattern that is not a stra Space Flight Durations (hours) O O D. The distribution is normal. The points show a systematic pattern that is not a straight-line pattern. 278 93 236 162 264 57 225 264 238 202 175 329 381 210 250 144 428 194 125 347 260 212 123 110 292 236 187 305 140 Click to select your answer. 113 175 211 318 174 376 197 340 235 266

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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.