Discuss the concepts of confidence intervals and confidence limits with the help of an example.

Confidence Intervals and Confidence Limits: 

Confidence intervals and confidence limits are fundamental concepts in statistics that provide a range of plausible values within which a population parameter is likely to fall. They are essential tools for making inferences about a population based on a sample. Let's delve into these concepts using a practical example.

Concept of Confidence Intervals: A confidence interval (CI) is a range of values that is likely to contain the true value of a population parameter, such as a mean, proportion, or regression coefficient. It is calculated from sample data and is used to quantify the uncertainty or variability associated with estimating population parameters based on a finite sample.

Confidence intervals are typically expressed as a point estimate ± margin of error. The margin of error is determined by the desired level of confidence and the variability of the sample data. The level of confidence represents the probability that the true population parameter lies within the calculated interval. Common levels of confidence include 90%, 95%, _________ _____ _________ _______ ___ _________ ___ _____ _____.
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