AI Excel Bot
Home / Formula Types / statistical /
Formulas
avedev average-weighted average averagea averageif averageifs beta-dist beta-inv binom-dist binom-inv binomdist chidist chiinv chisq-dist-rt chisq-dist chisq-inv-rt chisq-inv chitest confidence-norm confidence-t correl count counta covar covariance-p covariance-s critbinom devsq expon-dist expondist f-dist-rt f-dist f-inv-rt f-inv f-test fisherinv forecast-linear forecast ftest gamma-dist gamma-inv gamma gammadist gammainv gauss geomean harmean hypgeom-dist hypgeomdist intercept kurt large loginv lognorm-dist lognorm-inv lognormdist marginoferror max maxa maxifs median min mina minifs mode-mult mode-sngl mode negbinom-dist negbinomdist norm-dist norm-inv norm-s-dist norm-s-inv normdist norminv normsdist normsinv pearson percentile-exc percentile-inc percentile percentrank-exc percentrank-inc percentrank permut permutationa phi poisson-dist prob quartile-exc quartile-inc quartile rank-avg rank-eq rank rsq skew-p skew slope small standardize stdev-p stdev-s stdev stdeva stdevp stdevpa steyx t-dist-2t t-dist-rt t-dist t-inv-2t t-inv t-test tdist tinv trimmean ttest var-p var-s var vara varp varpa weibull-dist weibull z-test ztest

Formula Generator - FISHER function

The FISHER function returns the Fisher transformation of a specified value. The Fisher transformation is a mathematical function that converts a variable with a non-normal distribution into a variable with a more normal distribution. This transformation is commonly used in statistical analysis to stabilize variances and improve the validity of statistical tests.
Formula Generator AI Excel Bot is your ultimate companion for generating and comprehending Excel and Google Sheets formulas. With its advanced capabilities, it goes beyond the basics by providing support for VBA and custom tasks. Let AI Excel Bot empower you to unlock the full potential of these spreadsheet platforms.

How to generate an FISHER formula using AI.

To get the FISHER formula, you can ask the AI chatbot the following question: "What is the formula to calculate the Fisher transformation for a given data set?"

Try it out for yourself!
Step 1: Describe Your Formula
0/120
Step 2: Copy Syntax

FISHER formula syntax.

The FISHER function in Excel is used to calculate the Fisher transformation of a given value. The syntax for the FISHER function is: =FISHER(x) Where "x" is the value for which you want to calculate the Fisher transformation. The Fisher transformation is commonly used in statistics to convert a non-normal distribution into a distribution that closely resembles a normal distribution. It is especially useful when dealing with data that has a skewed or non-linear distribution. The FISHER function returns the Fisher transformation of the given value, which is calculated using the formula: FISHER(x) = ln((1 + x) / (1 - x)) The resulting value is typically used for further statistical analysis or to compare data sets with different distributions. It's important to note that the FISHER function assumes that the input value falls within the range of -1 to 1. If the input value is outside this range, the function may return an error.

Use Cases & Examples In these use cases, we use the FISHER function to calculate the Fisher transformation of a value. The Fisher transformation is commonly used in statistics and is used to convert a correlation coefficient into a quantity that follows a normal distribution.
AI Tips Enhance Your Excel Efficiency with AI Tips: Discover our innovative Excel add-in feature, 'AI Tips.' Streamline your workflow and boost productivity as AI-powered suggestions offer real-time insights for optimal spreadsheet organization, data analysis, and visualization. Elevate your Excel experience with intelligent recommendations tailored to your unique needs, helping you work smarter and achieve more.
Provide Clear Context When describing your requirements to the AI, provide clear and concise context about the data you have, the specific task you want to accomplish, and any relevant constraints or conditions. This helps the AI understand the problem accurately.
Include Key Details Include important details such as column names, data ranges, and specific criteria that need to be considered in the formula. The more precise and specific you are, the better the AI can generate an appropriate formula.
Use Examples If possible, provide examples or sample data to illustrate the desired outcome. This can help the AI better understand the pattern or logic you are looking for in the formula.
Mention Desired Functionality Clearly articulate the functionality you want the formula to achieve. Specify if you are looking for lookups, calculations, aggregations, or any other specific operations.