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GES 255

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Section 7.2: Large-Sample Confidence Intervals for a Population Mean and ... Stat / Basic Statistics / 1-Sample Z... 8. A Confidence Interval for p, n Large ... – PowerPoint PPT presentation

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Title: GES 255


1
GES 255
  • Engineering Statistics I

2
Material
  • Chapter 7 Statistical Intervals Based on a
    Single Sample.
  • Section 7.2 Large-Sample Confidence Intervals
    for a Population Mean and Proportion.

3
A Confidence Intervalfor ?, ? Unknown, n Large
  • Assumptions ? is unknown and n is large (n gt
    40).
  • The rv
  • is approximately Normally distributed with mean
    zero and standard deviation one (CLT).

4
A Confidence Intervalfor ?, ? Unknown, n Large
  • This means that the following holds
  • We use the part in parentheses to derive the
    100(1 - ?) CI.

5
A Confidence Intervalfor ?, ? Unknown, n Large
  • A 100(1 - ?) CI for the mean ? of any
  • population when the value of ? is unknown
  • and n is large

6
Example
  • Example 7.6, p.292.
  • Transparency problem statement.
  • EX13 Sec.7.2 (Excel and Minitab).
  • Two steps.
  • 1. Determine the 95 CI.
  • 2. Interpret the CI within the context of the
    problem.

7
Example (continued)
  • Excel.
  • CONFIDENCE(?, ?, n) function.
  • Minitab.
  • Need sample data.
  • Stat / Basic Statistics / Display Descriptive
    Statistics
  • Stat / Basic Statistics / 1-Sample Z

8
A Confidence Interval for p, n Large
  • Assumption n is large (n 10 and n(1 -
    ) 10).
  • The rv
  • is approximately Normally distributed with mean
    zero and standard deviation one.

9
A Confidence Interval for p, n Large
  • This means that the following holds
  • We use the part in parentheses to derive the
    100(1 - ?) CI.

10
A Confidence Interval for p, n Large
  • An approximate 100(1 - ?) CI for the
  • population proportion p when n is large

11
Example
  • Example 7.8, p.295.
  • Transparency problem statement.
  • EX13 Sec.7.2 (Minitab).
  • Two steps.
  • 1. Determine the 95 CI.
  • 2. Interpret the CI within the context of the
    problem.
  • Minitab Stat / Basic Statistics /
    1 Proportion

12
One-Sided Confidence Intervals
  • A large-sample upper confidence bound for ?
  • A large-sample lower confidence bound for ?

13
Example
  • Example 7.10, p.297.
  • Transparency problem statement.
  • EX13 Sec.7.2 (Excel).
  • Two steps.
  • 1. Determine the 95 CI.
  • 2. Interpret the CI within the context of the
    problem.
  • Excel CONFIDENCE(?, ?, n) function.

14
The End!
  • That is it for Section 7.2
  • Large-Sample Confidence Intervals
  • for a Population Mean and Proportion
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