deviation. Draw a graph of this probability distribution. 2 = 2.1 Round the probability to four decimal places and the standard deviation to three decimal places. P(x = 2) = i Mean = i Variance = i Standard deviation = i P(2) P(x) 0.25 0.8 0.20 0.6 0.15 0.4 0.10 0.2 0.05 O1 2 3 4 567S 10 Fig. 1 Fig. 2 P(x) P(x) 0.35 0.30 0.15 0.25 0.20 0.10 0.15 0.10 0.05 0.05 O1 2 3 4 50 O 1 2 3 45 7 SO 10 10 Fig. 3 Fig. 4 Input the number of the correct graph.
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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