A random sample X₁, X2, ..., X10 is drawn from a normal distribution with variance 12. Let X be the sample mean. Let x², be the 100pth percentile of a chi-squared random variable with v degrees of freedom. The following table lists values of x², for specific combinations of p and v: v = 8 v=9 A B с D p= 0.5 p=0.6 8.351 E 7.344 Find the probability that Σ;", (Xi - 8.343 Less than 0.3 9.414 P=0.7 9.524 10.656 At least 0.3, but less than 0.4 At least 0.6 At least 0.4, but less than 0.5 At least 0.5, but less than 0.6 x)² i is greater than 120.

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A random sample X₁, X2, ..., X10 is drawn from a normal distribution with variance 12. Let X be the sample mean.
Let x², be the 100pth percentile of a chi-squared random variable with v degrees of freedom. The following table lists values of x², for
specific combinations of p and v:
v = 8
v=9
A
B
с
D
p=0.5
7.344
E
8.343
Find the probability that Σ;", (Xi
-
Less than 0.3
P = 0.6
8.351
9.414
P=0.7
9.524
At least 0.6
10.656
At least 0.3, but less than 0.4
At least 0.4, but less than 0.5
At least 0.5, but less than 0.6
x)² i
is greater than 120.
Transcribed Image Text:A random sample X₁, X2, ..., X10 is drawn from a normal distribution with variance 12. Let X be the sample mean. Let x², be the 100pth percentile of a chi-squared random variable with v degrees of freedom. The following table lists values of x², for specific combinations of p and v: v = 8 v=9 A B с D p=0.5 7.344 E 8.343 Find the probability that Σ;", (Xi - Less than 0.3 P = 0.6 8.351 9.414 P=0.7 9.524 At least 0.6 10.656 At least 0.3, but less than 0.4 At least 0.4, but less than 0.5 At least 0.5, but less than 0.6 x)² i is greater than 120.
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