Welcome to Westonci.ca, where curiosity meets expertise. Ask any question and receive fast, accurate answers from our knowledgeable community. Our platform provides a seamless experience for finding reliable answers from a knowledgeable network of professionals. Join our platform to connect with experts ready to provide precise answers to your questions in different areas.
Sagot :
The standard deviation of the x distribution is 0.2.
According to the statement
we have given that the the sample n is 64 and we have to find the standard deviation of the given sample.
So, For this purpose, we know that the
The standard deviation of the sample is the standard deviation of population divided by the square root of the length of the sample.
In this problem, we have that the value of alpha is
[tex]\alpha = 1.6[/tex]
Suppose that for aluminum alloy sheets of a particular type,
If X is the sample mean Young's modulus for a random sample of n = 64 sheets, and the standard deviation of the X distribution is given by
[tex]s = \frac{\alpha}{\sqrt{64} }[/tex]
then solve it then the standard deviation
s = {1.6} / {8 }
s = 0.2
So, The standard deviation of the x distribution is 0.2.
Disclaimer: This question was incomplete. Please find the full content below.
Question:
Given that Young's modulus is a quantitative measure of stiffness of an elastic material. Suppose that for aluminum alloy sheets of a particular type, its mean value and standard deviation are 70 GPa and 1.6 GPa, respectively.
a. If X is the sample mean Young's modulus for a random sample of n = 64 sheets, the sampling distribution of X centered at 70 GPa, and the standard deviation of the X distribution is given by
Learn more about Standard deviation here
https://brainly.com/question/475676
#SPJ4
We appreciate your visit. Our platform is always here to offer accurate and reliable answers. Return anytime. Your visit means a lot to us. Don't hesitate to return for more reliable answers to any questions you may have. Westonci.ca is here to provide the answers you seek. Return often for more expert solutions.