cdn.student.uae.examus.net Given the following sample data: 43, 50, 44, 49, 50 The value 46 5 epresents its: Conversion formula, z= Formulae Sheet STAT-101-1 P(x) 362dct917 Minimum usual" value =i-2s (n-)lat p* qn-x Maximum "usual" value=it 2s Midrange min raluemax ralue ce362dc a. Mean Relative Frequency= Variance= npq n-1 Frequency of the class Total Frequency E-ExP(x); Range E=np %3D ce3620c1917 c36Ydcf91 drange ce36 62dcf917 F917
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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