{"id":94,"date":"2025-07-15T13:34:46","date_gmt":"2025-07-15T13:34:46","guid":{"rendered":"https:\/\/functiontranslator.com\/2021\/02\/12\/confidence-norm\/"},"modified":"2021-02-13T11:33:10","modified_gmt":"2021-02-13T11:33:10","slug":"confidence-norm","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/en\/confidence-norm\/","title":{"rendered":"CONFIDENCE.NORM"},"content":{"rendered":"

The CONFIDENCE.NORM function in Excel and Google Sheets is designed to calculate the confidence interval for a mean when dealing with populations that normally distribute. This tool is invaluable for estimating the probable range within which the population mean falls, based on given sample data, including the sample mean and standard deviation.<\/p>\n

Basic Syntax:<\/h2>\n

The syntax for the CONFIDENCE.NORM function is consistent across both Excel and Google Sheets:<\/p>\n

=CONFIDENCE.NORM(alpha, standard_dev, size)<\/code><\/pre>\n
    \n
  • alpha<\/code>: This is the significance level, used to calculate the confidence level. It represents the likelihood that the confidence interval does not include the true population mean. Commonly, a value of 0.05 is utilized for a 95% confidence level.<\/li>\n
  • standard_dev<\/code>: The standard deviation of the population sample.<\/li>\n
  • size<\/code>: The size of the sample data set.<\/li>\n<\/ul>\n
    Examples:<\/h2>\n
    Consider an example using the following sample data:<\/p>\n\n\n
    Data<\/th>\n74<\/td>\n68<\/td>\n72<\/td>\n75<\/td>\n70<\/td>\n<\/tr>\n<\/table>\n
    To calculate the 95% confidence interval for the population mean with this sample data:<\/p>\n
    =CONFIDENCE.NORM(0.05, STDEV(A2:A6), COUNT(A2:A6))<\/code><\/pre>\n
    In this usage:<\/p>\n
      \n
    • alpha<\/code> is set at 0.05, indicating a 95% confidence level.<\/li>\n
    • The standard_dev<\/code> is computed from cells A2 to A6 using the STDEV<\/code> function.<\/li>\n
    • The size<\/code> reflects the total number of observations, determined by COUNT<\/code> for cells A2 to A6.<\/li>\n<\/ul>\n
      The result from this function will display the margin of error associated with the sample mean of the dataset.<\/p>\n
      Note that the CONFIDENCE.NORM function assumes a normal distribution of data points. If your data does not follow this distribution or the population standard deviation is unknown and sourced from the sample, the CONFIDENCE.T function should be utilized instead.<\/p>\n
      The availability of the CONFIDENCE.NORM function simplifies the process of calculating confidence intervals for population means in Excel and Google Sheets, enhancing the efficiency and accessibility of statistical analysis.<\/p>\n","protected":false},"excerpt":{"rendered":"
      Returns the confidence interval for a population mean<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[203],"tags":[],"class_list":["post-94","post","type-post","status-publish","format-standard","hentry","category-statistical"],"acf":[],"yoast_head":"\nExcel CONFIDENCE.NORM Function \u2013 How It Works, Formula Examples and Syntax<\/title>\n<meta name=\"description\" content=\"Learn what the Excel CONFIDENCE.NORM function does. 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