Based on the information given, the statistics that appear to be unbiased estimators of the population parameter is statistics A.
<h3>
Solving the statistics.</h3>
It should be noted that statistic A is the unbiased estimator of the population parameter. This is because it's centered around the population parameter which is 75.
The statistic that would be a better estimate of the population parameter is statistic A. This is because the sample mean is equal to the population mean which is 75.
The statistic that would be a better estimator of the population parameter is statistic D since it's equal to the population means.
Lastly, it should be noted that statistic C has no distribution shape.
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-5n - 8(1+7n) = -8
-5n - 8 - 56n = -8
-61n = 0
n = 0
Answer:
47
Step-by-step explanation:
6n + 5y + 4z
substitute the variables
6(4) + 5(3) + 4(2)
6 x 4 = 24
5 x 3 = 15
4 x 2 = 8
24 + 15 + 8
= 47
Answer:
D
Step-by-step explanation:
we can set up the equation as 15x = 15x^2
factoring we get
15x(x-1) = 0
So the solutions are when x are 0 and 1
this gives the coordinates
(0,0) and (1,15)
Answer: 175 defective bulbs.
Step-by-step explanation:
1. Keeping on mind that the inspector examined 100 light bulbs and found 7 defective, you can calculate the number of defective bulbs that there would be in a lot of 2500 bulbs as following:
- Let's call the number of defective bulbs that there would be in a lot of 2500 bulbs
.
- Then, you have:

- Solve for x:


2. Then, there would be 175 defective bulbs in a lot of 2500 bulbs.