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?
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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: The factors affecting the confidence interval are: The confidence level
The variability of the sample
When all the other factors are equal, the estimation of a population parameter is better for a larger sample. Higher the confidence level, broader is the confidence interval. 2. What is the Meaning of 95% Confidence Interval? A range of values for which you can be 95% sure that it contains the true mean of the population is called the 95% confidence interval. Confidence interval becomes more narrow when it is calculated for a large number of samples. This is because the mean is more precise when calculated for a large number of values. However, the precision and accuracy of the ‘mean’ determined for a small range of data is not so accurate. Share this with your friends
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