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Understanding Confidence Intervals in Statistics

Mar 25, 2025

Confidence Interval Lecture Notes

Introduction to Confidence Intervals

  • Definition: Questions regarding the range within which the true mean (population parameter) is expected to lie with a certain level of confidence.
  • Example Question: What is the 98% confidence interval for the average age of college students?
    • Given: ( \bar{X} = 21.9 ), ( \Sigma = 6.1 ), ( N = 120 )

Checking Conditions for Normal Distribution

  • Use a normal distribution if:
    • Sigma ( \Sigma ) is known
    • Sample size ( N ) is over 30

Formula for Confidence Interval

  • Basic Formula: [ \bar{X} \pm Z \times \left( \frac{\Sigma}{\sqrt{N}} \right) ]
    • ( \bar{X} ): Sample mean
    • ( Z ): Z-score (depends on confidence level)
    • ( \frac{\Sigma}{\sqrt{N}} ): Standard error of the mean

Calculating the Standard Error

  • ( \text{Standard error} = \frac{6.1}{\sqrt{120}} = 0.5569 ) (rounded)

Drawing the Picture

  • Purpose: Helps visualize the confidence interval
  • Components:
    • Mean ( \bar{X} = 21.9 )
    • Two tails (each side of the mean)
    • Values in the tails represent the error margin

Determining the Z-Score

  • 98% Confidence Level:
    • Area in the middle: 0.98
    • Area in each tail: 0.01
    • ( Z \approx 2.3264 )
  • Using software or Z-tables to find Z-scores

Calculating the Confidence Interval

  • For 98% Confidence:
    • ( 21.9 \pm 2.3264 \times 0.5569 )
    • Confidence Interval: [20.6044, 23.1956]

Understanding the Results

  • Confidence Interval Interpretation:
    • We are 98% confident that the true mean is between these two values
    • Could be written as: ( 21.9 \pm 1.2956 ) (where 1.2956 is the margin of error)

Margin of Error

  • Definition: ( Z \times \frac{\Sigma}{\sqrt{N}} )
  • Represents the possible error range of the estimate

Point Estimate

  • Definition: ( \bar{X} ) is the best estimate of the population mean ( \mu )

Re-evaluating with Different Confidence Level

  • 95% Confidence Interval:
    • ( Z \approx 1.96 )
    • New Confidence Interval: [20.8085, 22.9915]

Writing the Confidence Interval

  • Multiple ways to express:
    • "We are 98% confident that..."
    • Simply stating the range with confidence level
    • Using plus/minus format for clarity and brevity

Conclusion

  • Always work with two tails for confidence intervals
  • Different ways exist to express the intervals, all acceptable
  • Key to remember the meaning behind the numbers and formulas used