Set the smaller one to x. 2x+6=22, so 2x=16. Thus, x=8 and x+6=14, so 8 and 14 are our numbers.
Answer:
9/10
Step-by-step explanation:
first you find the lowest common denominator. 1/2 becomes 5/10, 2/5 becomes 4/10. 5/10+4/10=9/10
Answer:
a. For n=25, the mean and standard deviation of the prices of the mobile homes all possible sample mean prices are $63,800 and $1,580, respectively.
b. For n=50, the mean and standard deviation of the prices of the mobile homes all possible sample mean prices are $63,800 and $1,117, respectively.
Step-by-step explanation:
In this case, for each sample size, we have a sampling distribution (a distribution for the population of sample means), with the following parameters:

For n=25 we have:

The spread of the sampling distribution is always smaller than the population spread of the individuals. The spread is smaller as the sample size increase.
This has the implication that is expected to have more precision in the estimation of the population mean when we use bigger samples than smaller ones.
If n=50, we have:

Hi , 7/16 times 4/3 times 1/2 equals to 28/96 because 7times4 times 1 equals to 28 and 16 times 3 times 2 equals to (28/96).The answer is also equivalent to 7/24.