What are confidence intervals and why are they important?
Confidence intervals are a range of values used to estimate the true parameter of a population. They provide a measure of uncertainty.
How do you calculate a confidence interval?
To calculate a confidence interval, you typically use the sample mean, the standard deviation, and the sample size, along with a critical value from the Z or t distribution.
Can you give me an example of a confidence interval?
Sure! If you have a sample mean of 50, a standard deviation of 10, and a sample size of 30, a 95% confidence interval might be from 46 to 54.
What does it mean if a confidence interval is wide?
A wide confidence interval indicates more uncertainty about the estimate of the population parameter, suggesting that the sample data is more variable.
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