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Standardizing Normal Variables
Suppose we have a normal population. We can represent it by a normal variable X. Further, we can convert any value of X into a corresponding value Z of the standard normal variable, by using the formula
Where,
X = the value of any random variable
m = the mean of the distribution of the random variable
s = the standard deviation of the distribution
Z = the number of standard deviations from X to the mean of the distribution and is known as the Z score or standard score.
application of vector in our daily life
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Correlation coefficient - These are numerical measures of the correlations existing between the independent and the dependent variables - These are better measures of corre
1 1 1 1 1 2 1 2 ? and 40/2=? 2/40=?
Differance between Expanded Notation vs. Standard Notation ? A number written in expanded notation is broken down into parts just like it is in a place-value table. Example
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MATH
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