For large sample confidence intervals about the mean you have:
xBar ± z * sx / sqrt(n)
where xBar is the sample mean z is the zscore for having α% of the data in the tails, i.e., P( |Z| > z) = α sx is the sample standard deviation n is the sample size
We need only to concern ourselves with the error term of the CI, In order to find the sample size needed for a confidence interval of a given size.
z * sx / sqrt(n) = width.
so the z-score for the confidence interval of .98 is the value of z such that 0.01 is in each tail of the distribution. z = 2.326348
The equation we need to solve is:
z * sx / sqrt(n) = width
n = (z * sx / width) ^ 2.
n = ( 2.326348 * 6 / 3 ) ^ 2
n = 21.64758
Since n must be integer valued we need to take the ceiling of this solution.
n = 22
Answer:
$425
Step-by-step explanation:
subtract 120 and 5 from his starting total to get how much he has after all his purchases. Then add 50 to that total to get your answer.
The answer is -1/2
Rise/run
X=run
Y=rise
y2-y1/x2-x1
(-9)-(-3)/(8)-(-4)
-6/12
-1/2
Brainliest my answer if it helped you out?
Answer:
2 3/8 in.
Step-by-step explanation:
Actually, the domain is the possible set of input values
of a function that will make the function fit the specific criteria. In this
case, the input value is m, where m is the number of miles that is travelled.
The criteria is to travel at least 10 miles but not more than 30 miles,
therefore the domain should be:
All real numbers from 10 to 30, inclusive
(should be real numbers not integer since any fractional
number is included in the domain)
I cannot figure out why the choices are far from the
answer.
