Consider the following data. The summary statistics, histogram, and normal quantile plot were generated by Minitab. 27 27 27 28 28 28 28 28 28 29 29 29 29 29 29 29 29 29 29 30 30 30 30 30 30 30 30 30 30 30 30 31 31 31 31 31 31 31 31 32 32 32 32 33 33 33 33 33 34 34 (a) Does the histogram indicate normality for the data distribution? Explain. A. Yes, we observe a bell-shaped, symmetric distribution. B. Yes, we observe a uniform, symmetric distribution. C. No, we observe a uniform, skewed distribution. D. No, we observe a bell-shaped, skewed distribution. (b) Does the normal quantile plot indicate normality for the data distribution? Explain. A. Yes, the points fall approximately on a straight line. B. No, the points do not fall on a straight line. C. No, the points fall approximately on a straight line. D. Yes, the points do not fall on a straight line. (c) Compute the interquartile range.
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.
Consider the following data. The summary statistics, histogram, and normal quantile plot were generated by Minitab.
| 27 | 27 | 27 | 28 | 28 | 28 | 28 | 28 | 28 | 29 |
| 29 | 29 | 29 | 29 | 29 | 29 | 29 | 29 | 29 | 30 |
| 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 30 |
| 30 | 31 | 31 | 31 | 31 | 31 | 31 | 31 | 31 | 32 |
| 32 | 32 | 32 | 33 | 33 | 33 | 33 | 33 | 34 | 34 |
(a) Does the histogram indicate normality for the data distribution? Explain.
A. Yes, we observe a bell-shaped, symmetric distribution.
B. Yes, we observe a uniform, symmetric distribution.
C. No, we observe a uniform, skewed distribution.
D. No, we observe a bell-shaped, skewed distribution.
(b) Does the normal quantile plot indicate normality for the data distribution? Explain.
A. Yes, the points fall approximately on a straight line.
B. No, the points do not fall on a straight line.
C. No, the points fall approximately on a straight line.
D. Yes, the points do not fall on a straight line.
(c) Compute the
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