IQ scores are measured with a test designed so that the mean is 114 and the standard deviation is 14. Consider the group of IQ scores that are unusual. What are the z scores that separate the unusual IQ scores from those that are usual? What are the IQ scores that separate the unusual lIQ scores from those that are usual? (Consider a value to be unusual if its z score is less than -2 or greater than 2.) What are the z scores that separate the unusual IQ scores from those that are usual? The lower z score boundary is (Simplify your answer.) The higher z score boundary is (Simplify your answer.) What are the IQ scores that separate the unusual IQ scores from those that are usual? The lower bound IQ score is (Simplify your answer.) The higher bound IQ score is (Simplify your answer.)
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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