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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.
Choose all the ones that have the same value
![sin(109*) cos(116") + cos(109°) sin(116°)
cos(180°) cos(45°) – sin(180°) sin(45°)
O sin(180°) cos(45°) + cos(180°) sin(45°)
sin(-135")
sin(225°)
O cos(180°) cos(45°) + sin(180°) sin(45°)
sin(180*) cos(45°) + sin(45°) cos(180°)
COS](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8b38a56e-a61a-4115-b944-7f435d4df8ff%2Fd3f6df64-4427-4e4e-8571-e139a8936f1d%2F04468fse_processed.jpeg&w=3840&q=75)
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