We are given a function f ( x ) defined as follows:

We are to determine the value of f ( x ) when,

In such cases, we plug in/substitue the given value of x into the expressed function f ( x ) as follows:

We will apply the power on both numerator and denominator as follows:

Now we evaluate ( 2 ) raised to the power of ( 1 / 9 ).

Next apply the division operation as follows:

Once, we have evaluated the answer in decimal form ( 5 decimal places ). We will round off the answer to nearest thousandths.
Rounding off to nearest thousandth means we consider the thousandth decimal place ( 3rd ). Then we have the choice of either truncating the decimal places ( 4th and onwards ). The truncation only occurs when (4th decimal place) is < 5.
However, since the (4th decimal place) = 8 > 5. Then we add ( 1 ) to the 3rd decimal place and truncate the rest of the decimal places i.e ( 4th and onwards ).
The answer to f ( 1 / 2 ) to the nearest thousandth would be:

<h3>
<u>Cookies</u></h3>
Rob: 3
Barry: 8
Kevin: 9
Let's add all of that up.
3 + 8 + 9
11 + 9
= 20 cookies total
<h3><u>
Milk</u></h3>
Rob: 2
Barry: 1
Kevin: 4
Let's add this up.
2 + 1 + 4
3 + 4
= 7 cups of milk
They had 20 cookies and 7 cups of milk before they ate.
P = s + (s + 5) + (s + 5) This represents the two sides that are 5 inches longer than the base (s + 5) and the base (s).
Simplifying.
100 = 3s + 10
subtract 10 from both sides
90 = 3s
divide both sides by 3
30 = s
base = 30
sides = 35
CHECK 30 + 35 + 35 = 100
Answer:
Second one
Step-by-step explanation:
Answer:
A 99% confidence interval will be wider than a 95% confidence interval
Step-by-step explanation:
From the question we are told that
The 95% confidence interval for for the mean foot length for students at the college is found to be 21.709 to 25.091 cm
Generally the width of a confidence interval is dependent on the margin of error.
Generally the margin of error is mathematically represented as
From the above equation we see that
Here
is the critical value of the half of the level of significance and this value increase as the confidence level increase
Now if a 99% confidence level is used , it then means that the value of
will increase, this in turn will increase the margin of error and in turn this will increase the width of the confidence interval
Hence a 99% confidence interval will be wider than a 95% confidence interval