Answer:
Step-by-step explanation:
We want to determine a 95% confidence interval for the mean total cholesterol level of all males.
Number of sample, n = 355
Mean, u = 185 mg
Standard deviation, s = 16
For a confidence level of 95%, the corresponding z value is 1.96. This is determined from the normal distribution table.
We will apply the formula
Confidence interval
= mean +/- z ×standard deviation/√n
It becomes
185 +/- 1.96 × 16/√355
= 185 +/- 1.96 × 0.849
= 185 +/- 1.66404
The lower end of the confidence interval is 185 - 1.66404 =183.336
The upper end of the confidence interval is 185 + 1.66404 = 186.66
Therefore, with 95% confidence interval, the mean total cholesterol level of all males is between 183.336 mg and 186.66 mg
Answer:
XZ = 44
KQ = 24
Step-by-step explanation:
XH is half of XZ, and XH is 22x so two times 22x will give you XZ.
XH times two equation - 2(22x)
XZ equation - 43x + 1
Set them equal
2(22x) = 43x + 1
44x = 43x + 1
x = 1
Put x in equation XZ
43(1) + 1 = 44
You divide both numbers by their largest common factor, which is 5 in this case.
15(/5):5(/5)
3:1
I would say a line graph is probably the best way (it is usually the normal way) so that you can see the fluctations in temperature. Time on the x-axis and temp on the y-axis
Answer:
B would u like an explanation
Step-by-step explanation: Okay my explanation was that it says : A health food store has 250 samples of a new snack to distribute. Customers are taking samples at a rate of 25 each hour. If the store has to keep at least 50 samples for display, which inequality could be used to represent h, the number of hours the samples will last? what you do is take 250 and subtract 25 hrs from it its super simple and you get 50 so if they made 50 they candouble that to 10 and in 25 hrs only half of i will be gone so they will have 50 exxtra to feed the next se ofpeople
