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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.
[2 5] . [7 8}
We're here going to take a brief detour and notice solutions to non-constant coefficient, second order differential equations of the form. p (t) y′′ + q (t ) y′ + r (t ) y = 0
Provided a homogeneous system of equations (2), we will have one of the two probabilities for the number of solutions. 1. Accurately one solution, the trivial solution 2.
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