Here’s a list of 100 facts about Confidence Intervals:
- A confidence interval (CI) is a statistical tool used to estimate the range in which a population parameter is likely to fall.
- It provides a range of values rather than a single point estimate for the parameter.
- The width of a confidence interval is influenced by the level of confidence chosen.
- Common confidence levels include 90%, 95%, and 99%.
- A 95% confidence interval implies that 95% of intervals created in this way would contain the true population parameter.
- A confidence interval is constructed using sample data and a margin of error.
- Margin of error is the range within which the true parameter is likely to fall.
- The formula for a confidence interval is point estimate ± margin of error.
- Point estimates can be the sample mean, sample proportion, etc.
- Confidence intervals are widely used in inferential statistics.
- As the level of confidence increases, the width of the interval also increases.
- Larger sample sizes tend to result in narrower confidence intervals.
- Standard error is a crucial component in the calculation of…