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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
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