12 × 12 would equal to 144
Hope this helped! :D
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:
2 minutes ago Suppose a long term investment is modeled by the exponential fuction V(t)= 30(25) ^t/20 where V(t) is the total value after t year 5 minutes ago
Step-by-step explanation:
Answer: a. 6 rows 6 people per row, 9 rows 4 people in each row, 36 rows 1 person per row, 18 rows 2 people per row, 12 rows 3 people per row, 9 rows 4 people per row
Step-by-step explanation: 4 rows 9 people, 3 rows 12 people