{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Tutorial 8

# Tutorial 8 - THE UNIVERSITY OF HONG KONG DEPARTMENT OF...

This preview shows pages 1–3. Sign up to view the full content.

U n k nown Hypothesis Te I. Inference about a Example Class 8 1 THE UNIVERSITY OF HONG KONG DEPARTMENT OF STATISTICS AND ACTUARIAL SCIENCE STAT0302 Business Statistics (Semester 2, 2012/2013) Normal Population Mean: Variance Unknown Interval estimation The 100(1 )% confidence interval for the population mean is n s t x n s t x n n 1 , 2 / 1 , 2 / , where the value t , n can be obtained from the t distribution table. Comparing with the case with known , here we use s instead of and t 2, n 1 instead of z 2 . Density function of the t distribution with n degrees of freedom sts about Normal Population Mean: Variance Test H 0 H 1 Reject H 0 if and only if Left- tailed 0 or 0 0 n s x / 0   t , n 1 Right- tailed 0 or 0 0 n s x / 0 t , n 1 Two- tailed 0 0 n s x / 0 t 2, n 1

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
sts about Population Proportion Based on Large Sample Determining the sample size II. Inference about a Population 2 Proportion Based on Large Samples Interval Estimation Assume that we have a large sample. By the central limit theorem, the 100(1 )% confidence interval for the population proportion is approximately n p p z p n p p z p ) ˆ 1 ( ˆ ˆ , ) ˆ 1 ( ˆ ˆ 2 / 2 / .
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}