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Q. Describe Standard Normal Distribution?
Ans.
The Standard Normal Distribution has a mean of 0 and a standard deviation of 1. The letter Z is often used to refer to a standard normal random variable.
Note that, although many applications in the real world have a normal distribution, rarely does anything in the real world follow a standard normal distribution. This is a convenient distribution that can be used (after some transformations) for ANY normal distribution. In the following examples, we will work through finding probabilities for a standard normal random variable.
Click here to see a table with probabilities for the standard normal distribution.
The area under the curve, the shaded area in this diagram, represents the probability of a normally distributed random variable obtaining a value less than z,.
The entries in the table are the probabilities that a random variable having the standard normal distribution assumes a value less than z.
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The value of K for (k+1)x^2-2(k-1)x+1 = 0 has real and equal roots.
I didn't understand the concept of Transpose of a Matrix, need assistance.
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compare: 643,251: 633,512: 633,893. The answer is 633,512.
The Mean Value Theorem for Integrals If f(x) is a continuous function on [a,b] then here is a number c in [a,b] thus, a ∫ b f(x) dx = f(c)(b -a) Proof Let's begin
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