Answer:
(A) The mean will decrease more than the median.
Step-by-step explanation:
$500 is much more than the mean of $93.80, so removing it from the data set will decrease the mean significantly. The median of $75.80 will move to the next smaller number, so the change will be small or even none.
With y coordinates down means subtracting and with x coordinations left means subtracting so to find coordinate K’ you take its coordinates (1,3) and do 1-3=-2 and 3-4=-1. K’ is at (-2, -1)
The starting salary is $35,000.
Salary is increased by 6% at the end of every year.
Nos of years worked = 16 years
Total salary earned in 16 years is given by An * (( 1+i )^n - 1 ) / i
Where, An = Present Salary = $35000
i = Increase in salary per year = 6% = 0.06
n = number of years = 16
= 35000 * ( 1.06 ^16 - 1 ) / .06
= 35000 * ( 2.54035 - 1 ) / .06
= 35000 * 1.54035 / .06
= 898538
Total earnings in 16 years is $ 898538
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:
