Suppose you have a normally distributed population such that o? S', we find that from a random sample of size n = 15, S² = 16.09. Does our population variance seem reasonable? = 8. Using the sampling distribution of Note: We will consider our population variance reasonable if our x value falls within the interval x0.975 (df), x°0.025(df)]. 1) Find the values of the interval xo.975(df), x°0.025(df)].

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Suppose you have a normally distributed population such that \(\sigma^2 = 8\). Using the sampling distribution of \(S^2\), we find that from a random sample of size \(n = 15\), \(S^2 = 16.09\). Does our population variance seem reasonable?

Note: We will consider our population variance reasonable if our \(\chi^2\) value falls within the interval \([\chi^2_{0.975}(df), \chi^2_{0.025}(df)]\).

1) Find the values of the interval \([\chi^2_{0.975}(df), \chi^2_{0.025}(df)]\).

\[
\chi^2_{0.975}(df) = 
\]
(Round to 3 decimals.)

\[
\chi^2_{0.025}(df) = 
\]
(Round to 3 decimals.)

2) Find the value of \(\chi^2\) that comes from the data you collected in the problem statement.

\[
\]
(Round to 3 decimals.)

3) Is the population variance reasonable?
- [ ] Yes
- [ ] No

No work required for Part 1 or Part 3, but recommended on Part 2.

If you do not have a table, DI Management's "Compute the inverse of the p-value for a chi-square distribution" is useful to get exact answers (to many decimals).

[Add Work]
Transcribed Image Text:Suppose you have a normally distributed population such that \(\sigma^2 = 8\). Using the sampling distribution of \(S^2\), we find that from a random sample of size \(n = 15\), \(S^2 = 16.09\). Does our population variance seem reasonable? Note: We will consider our population variance reasonable if our \(\chi^2\) value falls within the interval \([\chi^2_{0.975}(df), \chi^2_{0.025}(df)]\). 1) Find the values of the interval \([\chi^2_{0.975}(df), \chi^2_{0.025}(df)]\). \[ \chi^2_{0.975}(df) = \] (Round to 3 decimals.) \[ \chi^2_{0.025}(df) = \] (Round to 3 decimals.) 2) Find the value of \(\chi^2\) that comes from the data you collected in the problem statement. \[ \] (Round to 3 decimals.) 3) Is the population variance reasonable? - [ ] Yes - [ ] No No work required for Part 1 or Part 3, but recommended on Part 2. If you do not have a table, DI Management's "Compute the inverse of the p-value for a chi-square distribution" is useful to get exact answers (to many decimals). [Add Work]
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