Percentiles Scores Smallest 1% Observations = 83 5% 30 10% 46| Mean = 73.70 25% 62 22 50% 80 Standard Deviation = 23.14 Largest 75% 90 100 Variance = 535.24 90% 100 100 95% 100 100 99%% 100 100 The difference between the median and the mean is ---- Choose... Choose... The possible outliers from this distribution are found to be---? 25 Negatively skewed 30 Based on your results on outliers and the above table, what is (are) the possible direction of skewness? 6.3 any score < 20 and > 132 any score < 28 and > 139 The Interquartile range is found to be -- Positively skewed 28 6.5
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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