## How to calculate the lower and upper bound of the confidence interval?

## What are confidence bounds in statistics?

**Confidence bounds**are generally described as being one-sided or two-sided. Two-Sided**Bounds**When we use two-sided**confidence bounds**(or intervals), we are looking at a closed**interval**where a certain percentage of the population is likely to lie.

## How do you interpret the 95% confidence interval?

- One example of the most common interpretation of the concept is the following: There is a 95% probability that, in the future, the true value of the population parameter (e.g., mean) will fall within X [lower bound] and Y [upper bound]
**interval**. In addition, we may interpret the**confidence interval**using the statement below:

## What are the most common misconceptions about confidence intervals?

- There is a 95% probability that the
**interval**between X [lower bound] and Y [upper bound] contains the true value of the population parameter. The statement above is the most common misconception about**confidence interval**.

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