Answer:


And using a calculator, excel ir the normal standard table we have that:

And we can calculate the probability like this:
Step-by-step explanation:
A random sample of 36 observations has been drawn from a normal distribution with mean 50 and standard deviation 12. Find the probability that the sample mean is in the interval 47<=X<53. Is the assumption of normality important. Why?
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:
Where
and 
Since the distribution for X is normal then we know that the distribution for the sample mean
is given by:

We can find the probability required like this:


And using a calculator, excel ir the normal standard table we have that:

And we can calculate the probability like this:

It is irrational, as it's not a number that can be divided into a whole number by another whole number.
Answer:
5,526,447
Step-by-step explanation:
Create an equation where x is the third number.
837,451 + 879,837 + x = 7,243,735
1,717,288 + x = 7,243,735
x = 5,526,447
So, the third number is 5,526,447
Answer:
y=-15x+b
Step-by-step explanation:
Just move it around and use a calucator
Answer:
c
Step-by-step explanation:
-6q+4q=2q and 7-2=5 so 2q+5