Suppose you have a normally distributed population such that o = 8. Using the sampling distribution of 15, S? S', we find that from a random sample of size n = = 16.09. Does our population variance...


Suppose you have a normally distributed population such that o = 8. Using the sampling distribution of<br>15, S?<br>S', we find that from a random sample of size n =<br>= 16.09. Does our population variance seem<br>reasonable?<br>Note: We will consider our population variance reasonable if our x value falls within the interval x0.975<br>(df), x’o.025(df)].<br>1) Find the values of the interval [x0.975(df), X0.025(df)].<br>x°0.975(df) =<br>(Round to 3 decimals.)<br>x°0.025 (df)<br>(Round to 3 decimals.)<br>2) Find the value of x that comes from the data you collected in the problem statement.<br>(Round to 3 decimals.)<br>3) Is the population variance reasonable?<br>Yes<br>O No<br>No work required for Part 1 or Part 3, but recommended on Part 2.<br>If you do not have a table, DI Management's

Extracted text: Suppose you have a normally distributed population such that o = 8. Using the sampling distribution of 15, S? S', we find that from a random sample of size n = = 16.09. Does our population variance seem reasonable? Note: We will consider our population variance reasonable if our x value falls within the interval x0.975 (df), x’o.025(df)]. 1) Find the values of the interval [x0.975(df), X0.025(df)]. x°0.975(df) = (Round to 3 decimals.) x°0.025 (df) (Round to 3 decimals.) 2) Find the value of x that comes from the data you collected in the problem statement. (Round to 3 decimals.) 3) Is the population variance reasonable? Yes O 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

Jun 11, 2022
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