Back to Functions

CONFIDENCE

See CONFIDENCE.NORM

StatisticalCONFIDENCE(alpha, standard_deviation, pop_size)

CONFIDENCE

The CONFIDENCE function in Google Sheets is a statistical tool used to calculate the confidence interval for a population mean. It is typically used in hypothesis testing or determining sample sizes. Learn how to utilize this function effectively with our comprehensive guide.

Function Syntax and Parameters

Syntax: CONFIDENCE(alpha, standard_deviation, pop_size)

Parameters:

  • alpha: The significance level used to calculate the confidence level. It represents the probability of a Type I error.
  • standard_deviation: The standard deviation of the population.
  • pop_size: [Optional] The size of the population. If omitted, it assumes an infinite population by using a correction factor.

Step-by-Step Tutorial

  1. Calculating the confidence interval for a population mean:
    • Example: =CONFIDENCE(0.05, 10, 100)
    • Result: The confidence interval for a population mean at a 95% confidence level with a standard deviation of 10 and a population size of 100.

Use Cases and Scenarios

  1. Market Research: Determine the required sample size for conducting a survey to estimate population parameters.
  2. Quality Control: Ensure the accuracy of a production process by establishing confidence intervals for mean measurements.
  3. Medical Studies: Estimate confidence intervals for population means in clinical trials to assess treatment effects.

Related Articles

Newsletter

More CONFIDENCE examples coming soon.

We are building short, practical updates for Sheets power users.