A rental car agency has 15 rental cars on its lot. The following table shows the mileage of each car. Use the data to complete parts a through d below. 19602 11021 18609 10016 8744 6400 14986 6200 4607 11945 4483 16086 15820 13542 19 790 a. Calculate the mean for this population. muequals nothing (Round to one decimal place as needed.) b. Calculate the sampling error using the 5 cars in the first row as your sample. The sampling error for the first 5 cars is nothing. (Round to one decimal place as needed.) c. Calculate the sampling error using the 10 cars in the first two rows as your sample. The sampling error for the first 10 cars is nothing. (Round to one decimal place as needed.) d. How does increasing the sample size affect the sampling error? A. In general, increasing the sample size makes the sampling error smaller. B. In general, increasing the sample size makes the sampling error larger.
a)
N = Number of Data Values = 15
Sum of Data Values = Σxᵢ = 181851
μ = Popuplation Mean = Σxᵢ / N = 181851 / 15 = 12123.4
b)
let us consider the 5 cars in the first row as your sample in first
row as our sample
we compute the sample mean
x = = Σxᵢ / N = 67992 / 5 = 13598.4
sampling error = x - μ
= 13598.4 -12123.4
= 1475
c)
let us consider the 10 cars in the first row as your sample in
first row as our sample
we compute the sample mean
x = Σxᵢ / N = 112130 / 10 = 11213
sampling error = x - μ
= 11213 -12123.4
= -910.4
d)
The correct option A
In general, increasing the sample size makes the sampling error smaller.
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