The critical value \(z_{lpha / 2}\) that corresponds to the given confidence level is 1.96.
If the confidence level is given as a percentage, it is converted to a decimal. For example, a confidence level of 86% is converted to 0.86.
Alpha (\(lpha\)) is calculated as 1 - confidence level, which equals 0.14.
\(lpha / 2\) is calculated as 0.14 / 2, which equals 0.07.
The z-score that corresponds to the area of \(1 - lpha / 2\) to the left of \(z\) is found using statistical software, which gives us a z-score of 1.48.
The critical value \(z_{lpha / 2}\) that corresponds to the given confidence level is 1.48.
If the confidence level is given as a percentage, it is converted to a decimal. For example, a confidence level of 90% is converted to 0.9.
Alpha (\(lpha\)) is calculated as 1 - confidence level, which equals 0.1.
\(lpha / 2\) is calculated as 0.1 / 2, which equals 0.05.
The z-score that corresponds to the area of \(1 - lpha / 2\) to the left of \(z\) is found using statistical software, which gives us a z-score of 1.64.
The critical value \(z_{lpha / 2}\) that corresponds to the given confidence level is 1.64.
If the confidence level is given as a percentage, it is converted to a decimal. For example, a confidence level of 99% is converted to 0.99.
Alpha (\(lpha\)) is calculated as 1 - confidence level, which equals 0.01.
\(lpha / 2\) is calculated as 0.01 / 2, which equals 0.005.
The z-score that corresponds to the area of \(1 - lpha / 2\) to the left of \(z\) is found using statistical software, which gives us a z-score of 2.58.
The critical value \(z_{lpha / 2}\) that corresponds to the given confidence level is 2.58.