The boxplots and five-number summarics apply to the data scts of two different age classes. Match the appropriate descriptions to the data sets. Answer Bank 25% of the values are less than 21.30 25% of the values are more than 20.60 20 22 24 26 28 30 32 34 36 25% of values are less than 26.40 Adults who were obese in 2013 (%) 25% of values are less than 13.42 Min Q1 Median Q3 Max 25% of the values are more than 15.82 21.30 26.40 29.40 31.08 35.10 the distribution is skewed to the left 25% of the values are less than 8.70 25% of the values are more than 31.08 10 12 14 16 18 20 22 25% of the values are more than 35.10 Children who were obese in 2012 (%) the distribution is skewed to the right Min Q1 Median Q3 Max 8.70 13.42 14.65 15.82 20.60
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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