For the raw data: 25, 24, 24, 14, 15, 20, 19, 15, 24, 25, 28, 15, 15, 24, 20, 14, 17, 18, 14, 15 24, 24, 25, 19, 20, 15, 19, 21, 15, 24, 21, 20, 24, 14, 25, 18, 17, 16, 24, 21 Calculate the following statistics (PLEASE round the answers to the nearest hundredth) : n = mean = Q (upside down)= s = median = mode = range = (enter a single value - not an interval) If n > 30, then SD = ; if n < 30, then SD = s. Based the the data above the Standard Deviation is
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.
For the raw data:
25, 24, 24, 14, 15, 20, 19, 15, 24, 25, 28, 15, 15, 24, 20, 14, 17, 18, 14, 15
24, 24, 25, 19, 20, 15, 19, 21, 15, 24, 21, 20, 24, 14, 25, 18, 17, 16, 24, 21
Calculate the following statistics (PLEASE round the answers to the nearest hundredth) :
n =
mean =
Q (upside down)=
s =
median =
If n > 30, then SD = ; if n < 30, then SD = s. Based the the data above the Standard Deviation is
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