*8. You are given the data below. Complete parts a through d. 10 12 7 6. 12 13 8 8 5 9. 6 3 8. 4 13 7 8. 6 3 12 11 8. 11 11 9 13 6. 6 5 10 3 6. 3 12 10 12 7 5 9 11 7 10 6 5 9 8 13 11 a. Construct a grouped data relative frequency distribution of the data. Use the 2* zn guideline to determine the number of classes to use. (Use the minimum class width, rounded up to the nearest integer. Start the first class at the minimum value) (Type integers or decimals rounded to three decimal places as needed.) Data Values Relative Frequency Class 1 3 4 6. b. Construct a cumulative frequency distribution of the data. Cumulative Class Frequency 1 2 3 4 6 (Simplify your answers.) c. Construct a relative frequency histogram. Choose the correct graph below. A. В. c. 0.28- 0.28, 0.28, 0.28- 15 15 15 15 Data Value Data Value Data Value Data Value d. Construct an ogive. Choose the correct graph below. А. в. О с. O D. Relative Frequency 5691 Relative Frequency O709 Relative Frequency 2327 277O Relative Frequency
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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