A **confidence interval for a mean **is a range of values that is likely to contain a population mean with a certain level of confidence.

It is calculated as:

**Confidence Interval = ****x +/- t _{α/2, n-1}*(s/√n)**

where:

**x:**sample mean**t**t-value that corresponds to α/2 with n-1 degrees of freedom_{α/2, n-1}:**s:**sample standard deviation**n:**sample size

The formula above describes how to create a typical **two-sided confidence interval**.

However, in some scenarios we’re only interested in creating **one-sided confidence intervals**.

We can use the following formulas to do so:

**Lower One-Sided Confidence Interval** = [-∞, x + t_{α, n-1}*(s/√n) ]

**Upper One-Sided Confidence Interval** = [ x – t_{α, n-1}*(s/√n), ∞ ]

The following examples show how to create lower one-sided and upper one-sided confidence intervals in practice.

**Example 1: Create a Lower One-Sided Confidence Interval**

Suppose we’d like to create a lower one-sided 95% confidence interval for a population mean in which we collect the following information for a sample:

**x:**20.5**s:**3.2**n:**18

According to the Inverse t Distribution Calculator, the t-value that we should use for a one-sided 95% confidence interval with n-1 = 17 degrees of freedom is 1.7396.

We can then plug each of these values into the formula for a lower one-sided confidence interval:

**Lower One-Sided Confidence Interval**= [-∞, x + t_{α, n-1}*(s/√n) ]**Lower One-Sided Confidence Interval**= [-∞, 20.5 + 1.7396*(3.2/√18) ]**Lower One-Sided Confidence Interval**= [-∞, 21.812 ]

We would interpret this interval as follows: We are 95% confident that the true population mean is equal to or less than **21.812**.

**Example 2: Create an Upper One-Sided Confidence Interval**

Suppose we’d like to create an upper one-sided 95% confidence interval for a population mean in which we collect the following information for a sample:

**x:**40**s:**6.7**n:**25

According to the Inverse t Distribution Calculator, the t-value that we should use for a one-sided 95% confidence interval with n-1 = 24 degrees of freedom is 1.7109.

We can then plug each of these values into the formula for an upper one-sided confidence interval:

**Upper One-Sided Confidence Interval**= [ x – t_{α, n-1}*(s/√n), ∞ ]**Lower One-Sided Confidence Interval**= [ 40 – 1.7109*(6.7/√25), ∞ ]**Lower One-Sided Confidence Interval**= [ 37.707, ∞ ]

We would interpret this interval as follows: We are 95% confident that the true population mean is greater than or equal to **37.707**.

**Additional Resources**

The following tutorials provide additional information about confidence intervals:

An Introduction to Confidence Intervals

How to Report Confidence Intervals

How to Interpret a Confidence Interval that Contains Zero