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Confidence Intervals

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Confidence Interval for the Population Mean When the Population Standard Deviation is Known Confidence Intervals for  When  is Unknown - The t Distribution Large-Sample Confidence Intervals for the Population Proportion The Finite-Population Correction Factor Confidence Intervals for the Population Variance Sample Size Determination One-Sided Confidence Intervals Summary and Review of Terms

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BUSINESS STATISTICS 5-1 CONFIDENCE INTERVAL



5. Confidence Intervals

Confidence Interval for the Population Mean When
the Population Standard Deviation is Known

Confidence Intervals for  When  is Unknown - The
t Distribution

Large-Sample Confidence Intervals for the Population
Proportion

The Finite-Population Correction Factor

Confidence Intervals for the Population Variance

Sample Size Determination

One-Sided Confidence Intervals

Summary and Review of Terms
ernational University – School of Business Assoc. Prof. Ho Thanh Phong

, BUSINESS STATISTICS 5-2 CONFIDENCE INTERVAL



5.1 Introduction

• Consider the following statements:
– x = 550
• A single-valued estimate that conveys little information
about the actual value of the population mean.
– We are 99% confident that  is in the interval [449,551]
• An interval estimate which locates the population mean
within a narrow interval, with a high level of confidence.
– We are 90% confident that  is in the interval [400,700]
• An interval estimate which locates the population mean
within a broader interval, with a lower level of confidence.



ernational University – School of Business Assoc. Prof. Ho Thanh Phong

, BUSINESS STATISTICS 5-3 CONFIDENCE INTERVAL



Types of Estimators

• Point Estimate
– A single-valued estimate.
– A single element chosen from a sampling distribution.
– Conveys little information about the actual value of the population
parameter, about the accuracy of the estimate.

• Confidence Interval or Interval Estimate
– An interval or range of values believed to include the unknown
population parameter.
– Associated with the interval is a measure of the confidence we
have that the interval does indeed contain the parameter of interest.



ernational University – School of Business Assoc. Prof. Ho Thanh Phong

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