*7. You have the data shown below. Complete parts a through d. 2 12 6. 10 3 13 8 8 12 15 9 10 16 13 1 1 16 8 16 10 17 13 12 11 17 10 13 4 2 a. Construct a frequency distribution for these 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.) (Simplify your answers.) Class Data Values Frequency 2 3. 4. b. Develop a relative frequency distribution using the classes you constructed in part a. Relative Frequency Class 2 (Round to four decimal places as needed.) c. Develop a cumulative frequency distribution and a cumulative relative frequency distribution using the classes you constructed in part a. Complete the cumulative frequency distribution. Cumulative Class Frequency 2 3
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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