How to Use the CHISQ.TEST Function in Excel
Below is a comprehensive guide on how to use the CHISQ.TEST function in both Microsoft Excel and Google Sheets.
Introduction
The CHISQ.TEST function calculates the chi-square statistic of a dataset to evaluate how likely it is that any observed difference arises by chance. This function is particularly useful in statistical hypothesis testing.
Syntax
The syntax for the CHISQ.TEST function is as follows:
CHISQ.TEST(actual_range, expected_range)- actual_range: This is the range of observed data which you are testing for independence.
- expected_range: This is the hypothetical distribution range against which the observed dataset is tested for independence.
Examples of Tasks
The CHISQ.TEST function can be applied in several scenarios, including:
| Task | Description | Example |
|---|---|---|
| Testing for Independence | Used to determine whether two categorical variables are independent of each other. | =CHISQ.TEST(A2:A10, B2:B10) |
| Goodness of Fit Test | Evaluates how well observed data fit with a theoretical distribution. | =CHISQ.TEST(C2:C10, D2:D10) |
Implementation in Excel
In Excel, you can utilize the CHISQ.TEST function by entering:
=CHISQ.TEST(A2:A10, B2:B10)This formula calculates the chi-square value for the data in the ranges A2:A10 and B2:B10 within Excel.
Implementation in Google Sheets
The usage of the CHISQ.TEST function in Google Sheets is identical to its usage in Excel:
=CHISQ.TEST(A2:A10, B2:B10)Just ensure to adjust the ranges A2:A10 and B2:B10 to reflect your specific dataset in Google Sheets.
More information: https://support.microsoft.com/en-us/office/chisq-test-function-2e8a7861-b14a-4985-aa93-fb88de3f260f
Other functions
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Returns the average of its arguments
Returns the average of its arguments, including numbers, text, and logical values
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Returns the average (arithmetic mean) of all cells that meet multiple criteria
Returns the beta cumulative distribution function
Returns the inverse of the cumulative distribution function for a specified beta distribution
Returns the individual term binomial distribution probability
Returns the probability of a trial result using a binomial distribution
Returns the smallest value for which the cumulative binomial distribution is less than or equal to a criterion value
Returns the cumulative beta probability density function
Returns the one-tailed probability of the chi-squared distribution
Returns the cumulative beta probability density function
Returns the inverse of the one-tailed probability of the chi-squared distribution
Returns the confidence interval for a population mean
Returns the confidence interval for a population mean, using a Student's t distribution
Returns the correlation coefficient between two data sets
Counts how many numbers are in the list of arguments
Counts how many values are in the list of arguments
Counts the number of blank cells within a range
Counts the number of cells within a range that meet the given criteria
Counts the number of cells within a range that meet multiple criteria
Returns covariance, the average of the products of paired deviations
Returns the sample covariance, the average of the products deviations for each data point pair in two data sets
Returns the sum of squares of deviations
Returns the exponential distribution
Returns the F probability distribution
Returns the F probability distribution
Returns the inverse of the F probability distribution
Returns the inverse of the F probability distribution
Returns the result of an F-test
Returns the inverse of the F probability distribution
Returns the Fisher transformation
Returns the inverse of the Fisher transformation
Returns a value along a linear trend
Returns a future value based on existing (historical) values by using the AAA version of the Exponential Smoothing (ETS) algorithm
Returns a confidence interval for the forecast value at the specified target date
Returns the length of the repetitive pattern Excel detects for the specified time series
Returns a statistical value as a result of time series forecasting
Returns a future value based on existing values
Returns a frequency distribution as a vertical array
Returns the Gamma function value
Returns the gamma distribution
Returns the inverse of the gamma cumulative distribution
Returns the natural logarithm of the gamma function, Γ(x)
Returns the natural logarithm of the gamma function, Γ(x)
Returns 05 less than the standard normal cumulative distribution
Returns the geometric mean
Returns values along an exponential trend
Returns the harmonic mean
Returns the hypergeometric distribution
Returns the intercept of the linear regression line
Returns the kurtosis of a data set
Returns the k-th largest value in a data set
Returns the parameters of a linear trend
Returns the parameters of an exponential trend
Returns the cumulative lognormal distribution
Returns the inverse of the lognormal cumulative distribution
Returns the maximum value in a list of arguments
Returns the maximum value in a list of arguments, including numbers, text, and logical values
Returns the maximum value among cells specified by a given set of conditions or criteria
Returns the median of the given numbers
Returns the minimum value in a list of arguments
Returns the smallest value in a list of arguments, including numbers, text, and logical values
Returns the minimum value among cells specified by a given set of conditions or criteria
Returns a vertical array of the most frequently occurring, or repetitive values in an array or range of data
Returns the most common value in a data set
Returns the negative binomial distribution
Returns the normal cumulative distribution
Returns the standard normal cumulative distribution
Returns the inverse of the standard normal cumulative distribution
Returns the inverse of the normal cumulative distribution
Returns the Pearson product moment correlation coefficient
Returns the k-th percentile of values in a range, where k is in the range 01, exclusive
Returns the k-th percentile of values in a range
Returns the rank of a value in a data set as a percentage (01, exclusive) of the data set
Returns the percentage rank of a value in a data set
Returns the number of permutations for a given number of objects
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Returns the Poisson distribution
Returns the probability that values in a range are between two limits
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Returns the rank of a number in a list of numbers
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Returns the square of the Pearson product moment correlation coefficient
Returns the skewness of a distribution
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Returns the slope of the linear regression line
Returns the k-th smallest value in a data set
Returns a normalized value
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Estimates standard deviation based on a sample
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Returns the inverse of the Student's t-distribution
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Estimates variance based on a sample
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Returns the Weibull distribution
Returns the one-tailed probability-value of a z-test