Calculate the z-score for the largest value and interpret it in terms of standard deviations. Do the same for the smallest value N: 50 Mean:28.766 SE Mean: 0.476 St.Dev: 3.369 Min: 21.300 Q1: 26.375 Median: 29.400 Q3: 31.150 Max: 35.100
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.
Calculate the z-score for the largest value and interpret it in terms of standard deviations. Do the same for the smallest value
N: 50
SE Mean: 0.476
St.Dev: 3.369
Min: 21.300
Q1: 26.375
Median: 29.400
Q3: 31.150
Max: 35.100
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