Title: Confidence Interval - Definition, Formula, How to calculate and Solved Examples
Headings: 
Confidence Interval
What is a Confidence Interval?
Confidence Interval Definition:
Confidence Interval Formula:
Confidence Interval Table:
How to Calculate Confidence Interval?
Step 1:
Step 2:
Step 3:
Confidence Interval Examples:
Solution:
Fun Facts about Confidence Interval Formula:
FAQ (Frequently Asked Questions)
1. What is a Confidence Interval? What are the Factors Affecting Confidence Intervals?
2. What is the Meaning of 95% Confidence Interval?

Content: All the hundreds of apples are therefore likely to be in the range of 86 + 1.79 and 86 - 1.79
i.e. in the range of 84.21 and 87.79
Fun Facts about Confidence Interval Formula: Confidence interval is accurate only for normal distribution of population. However, in case of large samples from other kinds of population distributions, the central limit theorem is used to determine the most accurate interval. Confidence level of 95% should never be misinterpreted that 95% of the sample population lie within the confidence interval. Confidence interval is not the estimation of the plausible values of the unknown parameter of the population. If a confidence level is determined to be 95% for a particular experiment, it is not true that the same confidence level is obtained by repeating the experiment. FAQ (Frequently Asked Questions)
1. What is a Confidence Interval? What are the Factors Affecting Confidence Intervals? Confidence interval for an unknown parameter depends on the sampling distribution of a corresponding estimator in general.