Title: Confidence Interval
Headings: What is a Confidence Interval?
What is a Confidence Interval?
How to Interpret Confidence Intervals
Confidence Interval Data Requirements
How to Construct a Confidence Interval
Sample Size Calculator
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Content: Confidence Interval
AP Statistics: Table of Contents
The basics
Variables
Population vs sample
Mean and median
Variability
Position
Charts and graphs
Patterns in data
Dotplots
Histograms
Stemplots
Boxplots
Cumulative plots
Scatterplots
Comparing data sets
Regression
Measurement scales
Linear correlation
Linear regression
Regression example
Residual analysis
Transformations
Influential points
Categorical data
One-way tables
Two-way tables
Surveys
Data collection
Sampling methods
Bias in surveys
Experiments
Intro to experiments
Experimental design
Probability
Probability intro
Rules of probability
Random variables
Introduction
Distributions
Mean and variance
Independence
Combinations
Transformations
Simulation of events
Discrete variables
Binomial distribution
Negative binomial
Continuous variables
Normal distribution
Standard normal
t Distribution
Chi-square
Sampling distributions
Sampling distribution
Diff between props
Diff between means
Estimation
Estimation problems
Standard error
Margin of error
Confidence interval
Confidence intervals
Proportions
Diff between props
Means
Diff between means
Diff between pairs
Regression slope
Hypothesis testing
Hypothesis test intro
Power of test
How to test
Hypothesis tests
Proportions
Diff between props
Mean
Diff between means
Diff between pairs
Goodness of fit test
Homogeneity
Independence
Regression slope
Appendices
Practice exam
Notation
AP stat formulas
What is a Confidence Interval? Statisticians use a confidence interval to describe the amount of uncertainty associated with a sample estimate of a population parameter. How to Interpret Confidence Intervals
Suppose that a 90% confidence interval states that  the population mean is greater than 100 and less than 200. How would you interpret this statement? Some people think this means there is a 90% chance that the population mean falls between 100 and 200. This is incorrect. Like any population parameter ,  the population mean is a constant, not a random variable. It does not change. The  probability that a constant falls within any given range  is always 0.00 or 1.00.