Answer:
And we can find this probability using the complement rule and the normal standard table:
And the best solution would be:
c. 0.3085
Step-by-step explanation:
For this case we can convert all the values to inches in order to standardize the solution:
Let X the random variable that represent the heights of US mens, and for this case we know the distribution for X is given by:
Where 
and 
We are interested on this probability
We can use the z score formula given by:
Using this formula we got:
And we can find this probability using the complement rule and the normal standard table:
And the best solution would be:
c. 0.3085
By definition we have that the average rate of change of the function is:
Evaluating the function for the complete interval we have that the AVR is given by:
Rewriting we have:
Simplifying the expression we have:
Answer:
the average rate of change of the function defined by the table is:
Answer:
Step-by-step explanation:
Hello!
(5x+4) /( (x-4)( x+2))
(5x+4)/ (x² +2x -4x -8)=
(5x+4) /( x²-2x -8)
Nonparametric tests are also called distribution-free tests because they don't assume that your data follow a specific distribution. You may have heard that you should use nonparametric tests when your data don't meet the assumptions of the parametric test, especially the assumption about normally distributed data.
29% would be the answer if you are rounding up
