Explanation:
The sample mean is not always equal to the population mean but if we take more and more number of samples from the population then the mean of the sample would become equal to the population mean.
The Central Limit Theorem states that we can have a normal distribution of sample means even if the original population doesn't follow normal distribution, But we have to take a lot of samples.
Suppose a population doesn't follow normal distribution and is very skewed then we can still have sampling distribution that is completely normal if we take a lot of samples.
Answer:
In step 5, andrew made a mistake by subtracting 9.8 instead of adding 9.8. Andrew should've have obtained the answer -2, but because of his mistake the answer is incorrect.
Answer:
132.6 profit
Step-by-step explanation:
13 plus 30 percent
$16.9 times 40
$676
16.9 - 30%
$11.83 times 20
$236.6 plus 676
$912.6 - 13 × 60
$912.6 - $780
132.6 profit
Answer:
I believe it is c
Step-by-step explanation:
Correct me if I'm wrong but since the two lines look the same length I believe it is c
Well, you need to see which is equal to 6*8
6*8 = 48
14*1 = 14
6*4*8 = 192
(4+2)*(7+1) = 48
