According to a random sample taken at 12 a. m., body temperatures of healthy adults have a bell-shaped distribution with a mean of 98.34degreesf and a standard deviation of 0.59degreesf. using chebyshev's theorem, what do we know about the percentage of healthy adults with body temperatures that are within 3 standard deviations of the mean? what are the minimum and maximum possible body temperatures that are within 3 standard deviations of the mean?

There are 89% of healthy adults with body temperatures that are within 3 standard deviations of the mean

The minimum value that is within 3 standard deviations of the mean is 96.57.

The maximum value that is within 3 standard deviations of the mean is 100.11.

Step-by-step explanation:

Chebyshev's theorem states that a minimum of 89% of the values lie within 3 standard deviation of the mean.

So

Using Chebyshev's theorem, what do we know about the percentage of healthy adults with body temperatures that are within 3 standard deviations of the mean?

There are 89% of healthy adults with body temperatures that are within 3 standard deviations of the mean.

What are the minimum and maximum possible body temperatures that are within 3 standard deviations of the mean?

We have that the mean is 98.34 and the standard deviation is 0.59. So:

Minimum

Maximum

2

step-by-step explanation:

d

step-by-step explanation:

given

y + 3 = - 4(x - 2) ← distribute the parenthesis

y + 3 = - 4x + 8 ( subtract 3 from both sides )

y = - 4x + 5 → d