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
Answer:
−10%change
10%decrease
Step-by-step explanation:
V2−V1)|V1|×100
=(135−150)|150|×100
=−15150×100
=−0.1×100
=−10%change
=10%decrease
Note: Percent Change is NOT the same as Percent Difference between 150 and 135.
Hope this helps!
Answer:
Step-by-step explanation:
That depends on the question
Rewrite it from least to greatest and set it up like shown
Answer: it might be D
Step-by-step explanation: I think so on edge -4 must be factored from -4x^2-7