{"id":189,"date":"2025-07-15T13:34:46","date_gmt":"2025-07-15T13:34:46","guid":{"rendered":"https:\/\/functiontranslator.com\/2021\/02\/12\/fisherinv\/"},"modified":"2021-02-13T11:34:05","modified_gmt":"2021-02-13T11:34:05","slug":"fisherinv","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/en\/fisherinv\/","title":{"rendered":"FISHERINV"},"content":{"rendered":"<p>Today, we will explore the <strong>FISHERINV<\/strong> function, a robust statistical tool available in both Microsoft Excel and Google Sheets. This function is designed to perform the inverse Fisher transformation on a specified value. The Fisher transformation is widely recognized in statistics for transforming correlation coefficients into scores that approximately follow a standardized normal distribution, thereby stabilizing variance and normalizing data distribution.<\/p>\n<h2>How it works<\/h2>\n<p>The syntax for the <strong>FISHERINV<\/strong> function is consistent across both Excel and Google Sheets:<\/p>\n<pre><code>FISHERINV(probability)<\/code><\/pre>\n<p>Here, <code>probability<\/code> refers to the numeric value, which must be between -1 and 1, for which you want to compute the inverse Fisher transformation.<\/p>\n<h2>Examples<\/h2>\n<p>To clarify how the <strong>FISHERINV<\/strong> function is used, let&#8217;s review some practical examples.<\/p>\n<h3>Example 1<\/h3>\n<p>Compute the inverse Fisher transformation for a probability of 0.6.<\/p>\n<table>\n<tr>\n<th>Input<\/th>\n<th>Formula<\/th>\n<th>Output<\/th>\n<\/tr>\n<tr>\n<td>0.6<\/td>\n<td>=FISHERINV(0.6)<\/td>\n<td>0.693147<\/td>\n<\/tr>\n<\/table>\n<h3>Example 2<\/h3>\n<p>Compute the inverse Fisher transformation for a probability of -0.2.<\/p>\n<table>\n<tr>\n<th>Input<\/th>\n<th>Formula<\/th>\n<th>Output<\/th>\n<\/tr>\n<tr>\n<td>-0.2<\/td>\n<td>=FISHERINV(-0.2)<\/td>\n<td>-0.202732<\/td>\n<\/tr>\n<\/table>\n<h2>Usage<\/h2>\n<p>The <strong>FISHERINV<\/strong> function is particularly valuable in statistical analyses, especially when you are dealing with correlation coefficients. It facilitates the transformation of these coefficients to a normal distribution, which simplifies further statistical computations.<\/p>\n<p>It is important to note that the <code>probability<\/code> parameter for the <strong>FISHERINV<\/strong> function must fall within the range of -1 to 1. Inputting values outside of this range will cause the function to return a #NUM error.<\/p>\n<p>Equipped with knowledge about the <strong>FISHERINV<\/strong> function, you are now ready to apply this tool in your Excel or Google Sheets spreadsheets to enhance your statistical analysis efforts.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Returns the inverse of the Fisher transformation<\/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-189","post","type-post","status-publish","format-standard","hentry","category-statistical"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Excel FISHERINV Function \u2013 How It Works, Formula Examples and Syntax<\/title>\n<meta name=\"description\" content=\"Learn what the Excel FISHERINV function does. 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