Answer:
Approximately 68% of daily phone calls will be in this interval.
Step-by-step explanation:
The Empirical Rule states that, for a normally distributed random variable:
68% of the measures are within 1 standard deviation of the mean.
95% of the measures are within 2 standard deviation of the mean.
99.7% of the measures are within 3 standard deviations of the mean.
In this problem, we have that:
Mean = 57
Standard deviation = 7
What is the approximate percentage of daily phone calls numbering between 50 and 64
50 = 57 - 7
So 50 is one standard deviation below the mean
64 = 57 + 7
So 64 is one standard deviation above the mean
By the Empirical Rule, approximately 68% of daily phone calls will be in this interval.
5×4=20 is closer to 24.9344.

Let's try placing the decimals after the hundreds place.

It works.
There is more than one possibility.


Answer:
A
Step-by-step explanation:
2 meters=2000millimeters
50 centimeters=500 millimeters
Pretty sure it's 0, if you mean 2 to the power of 0