Simple Area Finding Question. Good explanation with steps and formula needed!
1 answer:
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Original Income = 15,000
New income = 20,000
The percentage Increase in the income can be calculated as:
%
The change in income = 20000 - 15000 = 5000
Using the values, we get:
%
=
%
This means, Pats income increased by 33.33% in a period of ten years
New income = 20,000
The percentage Increase in the income can be calculated as:
The change in income = 20000 - 15000 = 5000
Using the values, we get:
=
This means, Pats income increased by 33.33% in a period of ten years
Answer:
The Normal distribution is a continuous probability distribution with possible values all the reals. Some properties of this distribution are:
Is symmetrical and bell shaped no matter the parameters used. Usually if X is a random variable normally distributed we write this like that:
The two parameters are:
who represent the mean and is on the center of the distribution
who represent the standard deviation
One particular case is the normal standard distribution denoted by:
Example: Usually this distribution is used to model almost all the practical things in the life one of the examples is when we can model the scores of a test. Usually the distribution for this variable is normally distributed and we can find quantiles and probabilities associated
Step-by-step explanation:
The Normal distribution is a continuous probability distribution with possible values all the reals. Some properties of this distribution are:
Is symmetrical and bell shaped no matter the parameters used. Usually if X is a random variable normally distributed we write this like that:
The two parameters are:
who represent the mean and is on the center of the distribution
who represent the standard deviation
One particular case is the normal standard distribution denoted by:
Example: Usually this distribution is used to model almost all the practical things in the life one of the examples is when we can model the scores of a test. Usually the distribution for this variable is normally distributed and we can find quantiles and probabilities associated