Answer: A. Mean of sampling means 
Standard deviation of sampling means =
B. The probability that your sample has mean less than 165 is 0.1492 .
Given : The distribution of blood cholesterol level in the
population of young men aged 20 to 34 years is close to normal with
mean 
Mg/dl and standard deviation 
mg/dl.
Sample size : n= 150
Let 
sample mean values.
A. The mean and the standard deviation of the distribution of the sampling means would be :
Mean of sampling means =
Standard deviation of sampling means = 
The probability that your sample has mean less than 165 would be
Hence , the probability that your sample has mean less than 165 is 0.1492 .
Answer:
A, B, and D.
Step-by-step explanation:
HEY!! remember that if a number has ^2, it basically means it's multiplied by itself. for example:
5^2 = 5 x 5
aka, 25.
You can use this to check each of the answers in your formula, like this:
if x=6, then:
x^2 < 100
6 x 6 = 36
36 < 100
A is one of your correct answers!
Also remember, if you multiply a negative by a negative, it becomes positive.
-5 x -5 = 25
-10 x -10 = 100
What do we do? Like line it or what
Answer:
option 1
Step-by-step explanation:
formula:(x-h)^(2)*(y-k)^(2)=r^2
well if you move the circle 3 units left h is (-3), plug it in, you get 3, so it is (x+3)^2*(y-k)^(2)=r^2
if you move the circle 2 units up, plug it in you get (-2), so it is
(x+3)^2*(y-2)^(2)=r^2
now, the radius is 3 (we can see from the graph) so radius ^2 is 9, thus
(x+3)^2*(y-2)^(2)=9
this is the answer, and the option that has it is answer is option 1
