{"id":500,"date":"2025-07-15T13:34:47","date_gmt":"2025-07-15T13:34:47","guid":{"rendered":"https:\/\/functiontranslator.com\/2021\/02\/12\/z-test\/"},"modified":"2021-02-13T11:37:07","modified_gmt":"2021-02-13T11:37:07","slug":"z-test","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/en\/z-test\/","title":{"rendered":"Z.TEST"},"content":{"rendered":"

The Z.TEST function in Excel and Google Sheets is employed for hypothesis testing to assess if a sample mean significantly differs from a known population mean. It specifically calculates the one-tailed p-value of the Z-test. This guide provides a detailed overview of how to effectively use the Z.TEST function in both applications.<\/p>\n

Syntax:<\/h2>\n

The syntax for the Z.TEST function is as follows:<\/p>\n

Z.TEST(array, x, [sigma]) <\/code><\/pre>\n
    \n
  • array<\/code>: The array or range containing the sample data.<\/li>\n
  • x<\/code>: The value to test against the sample mean.<\/li>\n
  • sigma<\/code> (optional): The known standard deviation of the population. If not provided, the function uses the sample’s standard deviation instead.<\/li>\n<\/ul>\n
    Examples:<\/h2>\n
    Excel:<\/h2>\n
    Consider a scenario where you have sample data in cells A1:A10 and you need to determine if the sample mean significantly deviates from 30, assuming a population standard deviation of 5.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
    Data<\/th>\n <\/th>\n<\/tr>\n
    25<\/td>\n<\/tr>\n
    35<\/td>\n<\/tr>\n
    28<\/td>\n<\/tr>\n
    32<\/td>\n<\/tr>\n
    30<\/td>\n<\/tr>\n
    27<\/td>\n<\/tr>\n
    29<\/td>\n<\/tr>\n
    31<\/td>\n<\/tr>\n
    33<\/td>\n<\/tr>\n
    26<\/td>\n<\/tr>\n<\/table>\n
    To perform the Z-test in Excel, apply the formula:<\/p>\n
    =Z.TEST(A1:A10, 30, 5) <\/code><\/pre>\n
    The output gives the probability that the sample mean is significantly different from 30, according to the Z-test.<\/p>\n
    Google Sheets:<\/h2>\n
    The procedure in Google Sheets is very similar. Using the same data set as the Excel example:<\/p>\n
    With the sample values in cells A1:A10, you aim to verify if the sample mean significantly deviates from 30, using a population standard deviation of 5. Enter the formula:<\/p>\n
    =Z.TEST(A1:A10, 30, 5) <\/code><\/pre>\n
    In Google Sheets, the Z.TEST function will return the one-tailed p-value of the Z-test.<\/p>\n
    By following the steps outlined above, you can confidently use the Z.TEST function in Excel and Google Sheets for hypothesis testing and statistical analysis.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Returns the one-tailed probability-value of a z-test<\/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-500","post","type-post","status-publish","format-standard","hentry","category-statistical"],"acf":[],"yoast_head":"\nExcel Z.TEST Function \u2013 How It Works, Formula Examples and Syntax<\/title>\n<meta name=\"description\" content=\"Learn what the Excel Z.TEST function does. 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