Answer:
a) 

And we want the probability from 0 to two deviations above the mean and we got 95/2 = 47.5 %
b) 

So one deviation below the mean we have: (100-68)/2 = 16%
c) 

For this case below 2 deviation from the mean we have 2.5% and above 1 deviation from the mean we got 16% and then the percentage between -2 and 1 deviation above the mean we got: (100-16-2.5)% = 81.5%
Step-by-step explanation:
For this case we have a random variable with the following parameters:

From the empirical rule we know that within one deviation from the mean we have 68% of the values, within two deviations we have 95% and within 3 deviations we have 99.7% of the data.
We want to find the following probability:

We can find the number of deviation from the mean with the z score formula:

And replacing we got


And we want the probability from 0 to two deviations above the mean and we got 95/2 = 47.5 %
For the second case:


So one deviation below the mean we have: (100-68)/2 = 16%
For the third case:

And replacing we got:


For this case below 2 deviation from the mean we have 2.5% and above 1 deviation from the mean we got 16% and then the percentage between -2 and 1 deviation above the mean we got: (100-16-2.5)% = 81.5%
We start with his golf balls. He has four, so three times that number is 12. He has 12 baseballs. If we subtract 5 from 12, we can find how many tennis balls he has. So, Wyatt has 7 tennis balls.
-5x^3 + 2x^2 + 1
a coefficient is the number that is multiplied by the variable.For instance, the coefficient of 2x is 2....because 2 (the number) is multiplied by the variable x.
so in ur problem....there are 2 coefficients..-5 and 2.
** the number 1 is not a coefficient, it is a constant...a " loner " with no variables (letters) attached.
** and if u have just the letter...such as n, the coefficient to that is 1 but the one is just not written...it is actually 1n.
okay...I am gonna shut up now :)
Answer:
is the axis of symmetry
Step-by-step explanation:
i believe this is the answer :)
I believe the answer is 0.008
because
0.2 × 0.2 × 0.2 is equivalent to 0.008