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One Sample Tests of Hypothesis Chapter 10
GOALS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is a Hypothesis? ,[object Object],[object Object],[object Object]
What is Hypothesis Testing? ,[object Object]
Hypothesis Testing Steps
Important Things to Remember about H 0  and H 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How to Set Up a Claim as Hypothesis ,[object Object],[object Object],[object Object]
Left-tail or Right-tail Test? ,[object Object],[object Object],[object Object],Keywords Inequality Symbol Part of: Larger (or more) than > H 1 Smaller (or less) < H 1 No more than  H 0 At least ≥ H 0 Has increased > H 1 Is there difference? ≠ H 1 Has not changed = H 0 Has “improved”, “is better than”. “is more effective” > H 1
Parts of a Distribution in Hypothesis Testing
One-tail vs. Two-tail Test
Hypothesis Setups for Testing a Mean (  )
Hypothesis Setups for Testing a Proportion (  )
Testing for a Population Mean with a Known Population Standard Deviation- Example ,[object Object]
Testing for a Population Mean with a Known Population Standard Deviation- Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Testing for a Population Mean with a Known Population Standard Deviation- Example ,[object Object],[object Object],Step 5: Make a decision and interpret the result. Because 1.55 does not fall in the  r ejection region, H 0  is not rejected. We   conclude that the population mean is not different from 200. So we would   report to the vice president of manufacturing that the sample evidence does   not show that the production rate at the Fredonia Plant has changed from   200 per week.
[object Object],[object Object],Testing for a Population Mean with a Known Population Standard Deviation- Another Example
Testing for a Population Mean with a Known Population Standard Deviation- Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Testing for a Population Mean with a Known Population Standard Deviation- Example ,[object Object],[object Object],Step 5: Make a decision and interpret the result. Because 1.55 does not fall in the  r ejection region, H 0  is not rejected. We   conclude that the  average number of desks assembled in the last 50 weeks is not more than 200
Type of Errors in Hypothesis Testing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
p -Value in Hypothesis Testing ,[object Object],[object Object],[object Object]
p -Value in Hypothesis Testing - Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What does it mean when p-value <   ? ,[object Object],[object Object],[object Object],[object Object]
Testing for the Population Mean: Population Standard Deviation Unknown ,[object Object],[object Object]
Testing for the Population Mean: Population Standard Deviation Unknown - Example ,[object Object],[object Object]
Testing for a Population Mean with a Known Population Standard Deviation- Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
t-Distribution Table (portion)
Testing for the Population Mean: Population Standard Deviation Unknown – Minitab Solution
Testing for a Population Mean with a Known Population Standard Deviation- Example ,[object Object],[object Object],Step 5: Make a decision and interpret the result. Because  -1.818  does not fall in the  r ejection region, H 0  is not rejected  at the .01 significance level . We  have not demonstrated that the cost-cutting measures reduced the mean cost per claim to less than $60. The difference of $3.58 ($56.42 - $60) between the sample mean and the population mean could be due to sampling error.
[object Object],[object Object],Testing for a Population Mean with an Unknown Population Standard Deviation- Example
Testing for a Population Mean with a Known Population Standard Deviation- Example  continued ,[object Object],[object Object],[object Object],[object Object],[object Object]
Testing for a Population Mean with a Known Population Standard Deviation- Example  continued ,[object Object],[object Object],[object Object],[object Object]
Tests Concerning A Proportion ,[object Object],[object Object],[object Object]
Assumptions in Testing a Population Proportion using the z-Distribution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Test Statistic for Testing a Single Population Proportion Sample proportion Hypothesized  population proportion Sample size
Test Statistic for Testing a Single Population Proportion - Example ,[object Object]
Test Statistic for Testing a Single Population Proportion - Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Testing for a Population Proportion -  Example ,[object Object],[object Object],Step 5: Make a decision and interpret the result. The computed value of  z  (2.80) is in the rejection region, so the null   hypothesis is rejected at the .05 level. The difference of 2.5 percentage   points between the sample percent (77.5 percent) and the hypothesized   population percent  (80)  is statistically significant.  T he evidence at this point does not   support the claim that the incumbent governor will return to the governor’s   mansion for another four years.
Type II Error ,[object Object],[object Object]
Type II Error - Example ,[object Object]
Type I and Type II Errors Illustrated
Type II Error Computed
Type II Errors For Varying Mean Levels
End of Chapter 10

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Chapter 10