Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 41 53 37 44 40 38 39 46 45 37 35 54 42 36 15 52 37 50 30 29 a. Find the quartiles. The first quartile, Upper Q 1 , is nothing . The second quartile, Upper Q 2 , is nothing . The third quartile, Upper Q 3 , is nothing . (Type integers or decimals.) b. Find the interquartile range. The interquartile range (IQR) is nothing . (Type an integer or a decimal.) c. Identify any outliers. Choose the correct choice below. A. There exists at least one outlier in the data set at nothing . (Use a comma to separate answers as needed.) B. There are no outliers in the data set.
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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