Confidence Intervals are used to estimate
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Confidence intervals are a fantastic statistical tool that help us make sense of data by giving us a range within which we can be fairly certain a population parameter lies. For instance, if we calculate a 95% confidence interval for a mean, it provides a hint that if we were to conduct the same study repeatedly, about 95% of those intervals would capture the true mean of the population.

Imagine you’re testing a new recipe and you want to understand how people rate it. By collecting ratings from a sample and calculating the confidence interval for the mean score, you can confidently say, “I believe the average score for my recipe among everyone who would try it is between 7 and 9!” This insight helps you gauge your culinary creation’s potential success before you serve it to the masses!