Find the (a) mean, (b) median, (C) mode, and (d) midrange for the data and then (e) answer the given question. Listed below are the jersey numbers of 11 players randomly selected from the roster of a championship sports team. What do the results tell us? 50 48 61 9 56 46 20 60 97 73 34 O Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. The mode(s) is(are) (Type an integer or a decimal. Do not round. Use a comma to separate answers as needed.) O B. There is no mode. d. Find the midrange. The midrange is. (Type an integer or a decimal rounded to one decimal place as needed.) e. What do the results tell us? O A. Since only 11 of the jersey numbers were in the sample, the statistics cannot give any meaningful results. O B. The midrange gives the average (or typical) jersey number, while the mean and median give two different interpretations of the spread of possible jersey numbers. OC. The mean and median give two different interpretations of the average (or typical) jersey number, while the midrange shows the spread of possible jersey numbers. O D. The jersey numbers are nominal data and they do not measure or count anything, so the resulting statistics are meaningless.
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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