Answer: The standard deviation of the sampling distribution of M is equal to the standard deviation of the population divided by the square root of the sample size.
You can assume that the sampling distribution of M is normally distributed for any sample size.
Step-by-step explanation:
- According to the central limit theorem , if we have a population with mean
and standard deviation 
, then if we take a sufficiently large random samples from the population with replacement , the distribution of the sample means will be approximately normally distributed. - When population is normally distributed , then the mean of the sampling distribution = Population mean
- Standard deviation of the sampling distribution =
, where = standard deviation of the population , n= sample size.
So, the correct statements are:
- You can assume that the sampling distribution of M is normally distributed for any sample size.
- The standard deviation of the sampling distribution of M is equal to the standard deviation of the population divided by the square root of the sample size.
Answer:
Hey, you don't include any points, but I can give you the rule for an 180 degree rotation.
You just need to write the same points, but negative. So going from (x,y) to
(-x,-y).
As an example let's say you wanted to rotate (3,-4) 180 degrees about the origin. The the point after the rotation would be (-3,4).
Hope that helps!
Answer:
probably 4.5 if im not mistaking
Verify each of the solutions by substituting them back into the original equation <span><span>log<span>(−2a+9)</span>=log<span>(7−4a)</span></span><span>log<span>(-2a+9)</span>=log<span>(7-4a)</span></span></span> and solving. In this case, all solutions were found to be valid.<span>a=−<span>1</span></span>
Answer: Yes it is
Step-by-step explanation:
It also is b=0.5 if you need decimal form.
