The table below is partially completed. Finish it and use it to find the mean and standard deviation. P(z) P(x) (x – µ) (2 – 4)° (x – µ)°P(æ) 0.14 -2.66 7.0756 0.990584 0.04 0.04 -1.66 2.7556 0.110224 0.24 0.48 -0.66 0.4356 0.104544 0.18 0.40 O Mean = 2.66 and Standard Deviation = 1.39 Mean = 0.52 and Standard Deviation = 1.39 Mean = 2.66 and Standard Deviation = 1.94 Mean = 0.52 and Standard Deviation = 1.94 Mean =-2.66 and Standard Deviation = 1.94 11234
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.
Step by step
Solved in 2 steps with 1 images
