The book states the following: "The smaller our sample size and the more extreme the outlier score is, the more these extreme scores will affect the mean in a skewed distribution" Explain how this occurs. I.e. How does a small sample size increase the effect of an outlier on the mean in a skewed distribution? How do more extreme scores affect the mean in a skewed distribution?
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.
The book states the following: "The smaller our
Explain how this occurs. I.e. How does a small sample size increase the effect of an outlier on the mean in a skewed distribution? How do more extreme scores affect the mean in a skewed distribution?
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