Answer:
Step-by-step explanation:
Sample variance when large number of samples are drawn we have tend to become a normal distribution.
Variance of the sample is different since variance
Var(x) = E(x^2)-{E(x)}^2
is the formula used for finding the variance of any sample.
But sampling distribution of variance requires repeating this process with the different samples several times.
So option A is not right
B is also not correct, C is wrong
D.The sampling distribution of the mean requires multiple samples to be compared. However, in this situation you are looking for the variance, so finding the sample variance is the same as investigating the sampling distribution of the variance.
is correct
Answer:
x = ±4i or x = ±√-16
Step-by-step explanation:
x² - 5x + 19 = 5x + 3
x² + 16 = 0
x² = -16
x = ±√-16 (a negative square root is an imaginary number)
The answer for this is m
=
5.436564
v
2
?
A. Answer: y = 32.913(1.126)ˣ
<u>Step-by-step explanation:</u>
You are given two coordinates (2, 53) and (9, 122). Use these to create a system of equations:
53 = a(b)² and 122 = a(b)⁹
122 = a(b)²· (b)⁷
122 = 53 · (b)⁷
1.126 = b
Substitute the b-value into either of the equations to solve for "a":
53 = a(1.126)²
32.913 = a
Input the a- & b-values into the general form of an exponential equation:
y = a(b)ˣ
y = 32.913(1.126)ˣ
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B. Answer: 23 minutes
<u>Step-by-step explanation:</u>
Substitute y = 500 into the equation above to solve for x:
500 = 32.913(1.126)ˣ
Is there a picture of the data set that goes with this question?