Chi-Square Test Calculator. This is a easy chi-square calculator for a contingency table that has up to five rows and five columns (for alternative chi-square calculators, see the column to your right). The calculation takes three steps, allowing you to see how the chi-square statistic is calculated Chi-Square Calculator. Note: You can find further information about this calculator, here. This is a chi-square calculator for a simple 2 x 2 contingency table (for alternative chi-square calculators, see the column to your right). The first stage is to fill in the group and category information Chi-Square Calculator You can use this chi-square calculator as part of a statistical analysis test to determine if there is a significant difference between observed and expected frequencies. To use the calculator, simply input the true and expected values (on separate lines) and click on the Calculate button to generate the results This calculator compares observed and expected frequencies with the chi-square test. Read an example with explanation . Note that the chi-square test is more commonly used in a very different situation -- to analyze a contingency table. This is appropriate when you wish to compare two or more groups, and the outcome variable is categorical Confirm them with our chi square calculator. Let's take a look at a practical example. On the following table, we have the representation of the input you need to conduct a chi square test using two variables to divide the data: the gender and the party affiliation. Democrat. Republican

* To improve this 'Chi-square distribution Calculator', please fill in questionnaire*. Male or Female ? Male Female Age Under 20 years old 20 years old level 30 years old level 40 years old level 50 years old level 60 years old level or over Occupation Elementary school/ Junior high-school studen Chi-square calculator [JavaScript is disabled in your browser: the calculator will not work.] To view the graph of the χ 2 distribution for your calculated values, click on the show graph button after doing the calculation

Chi Square Calculator for 2x2. This simple chi-square calculator tests for association between two categorical variables - for example, sex (males and females) and smoking habit (smoker and non-smoker). Observations must be independent of each other (so, for example, no matched pairs) Cell count must be 5 or above for each cell in a 2 x 2. Easy Fisher Exact Test Calculator. This is a Fisher exact test calculator for a 2 x 2 contingency table. The Fisher exact test tends to be employed instead of Pearson's chi-square test when sample sizes are small. The first stage is to enter group and category names in the textboxes below. Note: You can overwrite Category 1, Category 2, etc ** Statistical tables: values of the Chi-squared distribution**. P; DF 0.995 0.975 0.20 0.10 0.05 0.025 0.02 0.01 0.005 0.002 0.001; 101: 68.146: 75.083: 112.72 P Value from Chi-Square Calculator. This calculator is designed to generate a p-value from a chi-square score.If you need to derive a chi-square score from raw data, you should use our chi-square calculator (which will additionally calculate the p-value for you).. The calculator below should be self-explanatory, but just in case it's not: your chi-square score goes in the chi-square score box.

** Calculation for the Chi-Square test: An interactive calculation tool for chi-square tests of goodness of fit and independence Kristopher J**. Preacher (Vanderbilt University) How to cite this page. This web utility may be cited in APA style in the following manner: Preacher, K. J. (2001, April) Chi-Square Test of Independence Calculator A Chi-Square Test of Independence is used to determine whether or not there is a significant association between two categorical variables. To perform a Chi-Square Test of Independence, simply fill in the cells below for a contingency table of up to 5 rows and 5 columns Versatile Chi square test calculator: can be used as a Chi square test of independence calculator or a Chi square goodness-of-fit calculator as well as a test for homogeneity. Supports unlitmited N x M contingency tables: 2 by 2 (2x2), 3 by 3 (3x3), 4 by 4 (4x4), 5 by 5 (5x5) and so on, also 2 by 3 (2x3) etc with categorical variables. Chi square goodness-of-fit calculator online Chi-Square to P-value Calculator. Use this Χ 2 to P calculator to easily convert Chi scores to P-values and see if a result is statistically significant. Information on what a p-value is, how to interpret it, and the difference between one-sided and two-sided tests of significance Contingency Table. For a Rows by Columns Contingency Table. For a contingency table containing up to 5 rows and 5 columns, this unit will: ~. perform a chi-square analysis [the logic and computational details of chi-square tests are described in Chapter 8 of Concepts and Applications]; ~. calculate Cramer's V, which is a measure of the strength.

Chi-Square Calculator The chi-square statistic for an experiment with k possible outcomes, performed n times, in which Y 1 , Y 2 , Y k are the number of experiments which resulted in each possible outcome, with probabilities of each outcome p 1 , p 2 , p k is Our chi square calculator, commonly used in statistics and probability calculations, can help you solve for probability (P value) or the significance of a chi-square (X 2) test, based upon the known values for X 2 and degrees of freedom (df) or solve for X 2 based upon the known values from the probability and degrees of freedom.. The chi-square distribution is most commonly used for testing. Chi Square Calculator. A chi square is used to investigate if distributions of categorical variables vary from one another. It is a hypothesis test which is used to compare the observed values and the expected value and find the goodness of fit. This calculator will help you to find the statistics χ 2 value **Chi-Square** test **calculator**. Goodness of fit test, Test of independence, McNemar test. Video Information **Chi**-squared test for variance **Chi-Square** **Calculator**. Test calculation. Right-tailed - for the goodness of fit test, the test of independence / the test for association, or the McNemar test, you can use only the right tail test ** Choose calculator 3**. Enter data 4. View results Analyze a 2x2 contingency table. Enter your data. Enter Only choose chi-square if someone requires you to. The Yates' continuity correction is designed to make the chi-square approximation better. With large sample sizes, the Yates' correction makes little difference

* Critical Chi-Square Value Calculator*. This calculator will tell you the critical Chi-square (Χ 2) value associated with a given (right-tail) probability level and the degrees of freedom. Please enter the necessary parameter values, and then click 'Calculate' To conduct a Chi Square test, observed frequencies are entered, the sum of the elements within rows and columns (such as those in our calculator) are then computed (call this T). The Chi-Square test of experiment is used to test for null hypothesis in that the frequencies (entered) within the cells is what is expected, given T Chi-Square Calculator is a free online tool that displays the relationship between the categorical variables. BYJU'S online Chi-square calculator tool makes the calculation faster, and it displays the relation in a fraction of seconds Chi-square test calculator for variance with Examples. In this tutorial we will discuss a method for testing a claim made about the population variance $\sigma^2$ or population standard deviation $\sigma$. To test the claim about the population variance or population standard deviation we use chi-square test

- Chi-Square Test. This test only works for categorical data (data in categories), such as Gender {Men, Women} or color {Red, Yellow, Green, Blue} etc, but not numerical data such as height or weight. The numbers must be large enough. Each entry must be 5 or more. In our example we have values such as 209, 282, etc, so we are good to go
- Use this table to lookup critical value for Chi Square distribution. Related Calculator ALPHA (Area to the right of critical value) DF 0.1 0.05 0.025 0.01 0.005 0.001 1 2.7055 3.8415 5.0239 6.6349 7.8794 10.8276 2 4.6052 5.9915 7.3778 9.2103 10.5966 13.8155 3 6.2514 7.8147 9.3484 11.3449 12.8382 16.2662 4 7.7794 9.4877 11.1433 13.2767 14.8603 read mor
- The Chi-Square distribution is one of the crucial continuous distributions in Statistics. You can use other probability calculators for continuous distributions, such as our normal probability calculator, F-distribution calculator or our uniform probability calculator, among many others

P-Value Calculator for Chi-Square Distribution. Right-tail p-value is 0.1991. R command: pchisq (6, 4, lower.tail=FALSE) or 1-pchisq (6, 4) CANVAS NOT SUPPORTED IN THIS BROWSER Calculates the percentile from the lower or upper cumulative distribution function of the chi-square distribution. Chi-square distribution (percentile) Calculator - High accuracy calculation Welcome, Gues ** We use the Chi-Square Testing Calculator to determine if the applied recipe influences conversion status by measuring the distance of the actual counts from those that we would expect if they were not related**. Specifically, it tests whether each recipe affects conversion differently than each of the others

- Chi-square distribution calculator. Calculate cumulative distribution, probability density and inverse distributio
- To improve this 'Inverse-chi-square distribution Calculator', please fill in questionnaire. Male or Female ? Male Female Age Under 20 years old 20 years old level 30 years old level 40 years old level 50 years old level 60 years old level or over Occupation Elementary school/ Junior high-school studen
- us one. Sample size - the total number of observations across the categories. Chi-Squared test For variance calculator Degrees of freedom - the total number of observations

Download Chi Square Calculator for free. An unlimited calculator for Chi Squared. This Chi Squared Calculator allows the user to enter any number of rows and columns, enter the observed frequencies used in the calculation, and the program will output the answer, as well as the degrees of freedom. This program runs on Python 3.2 ## BUT NO LONGER REQUIRES PYTHON to run The steps for calculating the Chi-Square Difference Testing Using the Satorra-Bentler Scaled Chi-Square can be found on the Mplus Website. This site and this calculator are not associate with Mplus (Muthen and Muthen) Chi-square statistic and corresponding P-value and odds ratio (with confidence limits) for each table; Sample size calculation for fixed pool size and uncertain sensitivity and specificity Sample size calculations Sample size for a case-control stud Comparison of proportions free online statistical calculator. Computational notes. MedCalc uses the N-1 Chi-squared test as recommended by Campbell (2007) and Richardson (2011) ** Chi square test for independence calculator uses degree_of_freedom = ( Number of population -1)*( Number of levels -1) to calculate the Degree of Freedom**, The Chi square test for independence formula is defined by the formula DF = ( n - 1 ) * ( c - 1 ), where n is the number of populations, c is the number of levels of categorized variables

©2020 Matt Bognar Department of Statistics and Actuarial Science University of Iow A Chi-Square test could be performed on this data to check if the rating and size of the restaurant are completely independent or they are influencing one another. How to perform a Chi-Square test? Finally, we are here. Till now, we have understood what is the chi-square test and what should be the input to the chi-square test Normal Distribution Chi-Square Distribution t Distribution F Distribution P-Value Calculator for Chi-Square Distribution. Degree of freedom: Chi-square: p-value: p-value type: right tail left tail. CANVAS NOT SUPPORTED IN THIS BROWSER!. Instructions: This calculator conducts a Chi-Square test of independence. Please first indicate the number of columns and rows for the cross tabulation. Then type the table data, the significance level, and optionally the name of rows and columns, and the results of the Chi-Square test will be presented for you below

- e whether or not a categorical variable follows a hypothesized distribution. This tutorial explains how to perform a Chi-Square Goodness of Fit Test on a TI-84 calculator. Example: Chi-Square Goodness of Fit Test on a TI-84 Calculator. A shop owner claims that an equal number of customers come into his shop during each weekday
- Choose the kind of calculator you want to use. Categorical data. Fisher's, Chi square, McNemar's, Sign test, CI of proportion, NNT (number needed to treat), kappa. Continuous data. Descriptive statistics, detect outlier, t test, CI of mean / difference / ratio / SD, multiple comparisons tests, linear regression
- By using our chi-square calculator , we come up with a p value: p value is 0.132. Now, p < 0.05 is the usual test for dependence. In this case p is greater than 0.05, so we believe the variables are independent (ie not linked together)
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- I work through a Chi Square test on a 2 way table without much aid from a calculator.Check out http://www.ProfRobBob.com, there you will find my lessons orga..
- MedCalc's free online Odds Ratio (OR) statistical calculator calculates Odds Ratio with 95% Confidence Interval from a 2x2 table
- This statistics calculator is intended for evaluation of the extent of difference between observed and expected frequencies. Enter the observed and expected values in the appropriate fields of this Chi Square Calculator and calculate the values of degrees of freedom, chi-square and corresponding P-value (right tail or left tail)

This calculator will tell you the one-tailed (right-tail) probability value for a chi-square test (i.e., the area under the chi-square distribution from the chi-square value to positive infinity), given the chi-square value and the degrees of freedom Cumulative Distribution Function (CDF) Calculator for the Chi-Square Distribution. This calculator will compute the cumulative distribution function (CDF) for the Chi-square distribution, given the point at which to evaluate the function x, and the degrees of freedom. Please enter the necessary parameter values, and then click 'Calculate' Chi-square tests are often used in hypothesis testing.The chi-square statistic compares the size any discrepancies between the expected results and the actual results, given the size of the sample. The student enters in the observed and expected values. Then the computer calculates the test statistic and p-value using the chi-square goodness of fit test. 36: Chi-Square Goodness of Fit Test Calculator - Statistics LibreText

Chi-Square Test Statistic (X 2): 0.8642. Degrees of freedom: (df): 2. To find the p-value associated with this Chi-Square test statistic and degrees of freedom, we can use the following code in R: #find p-value for the Chi-Square test statistic pchisq(q=0.8642, df=2, lower.tail= FALSE) [1] 0.6491445. The p-value turns out to be 0.649 perform a chi-square test of association, if the sample size is not too small; and T perform the Fisher exact probability test, if the sample size is not too large. [Although the Fisher test is traditionally used with relatively small samples, the programming for this page will handle fairly large samples, up to about n=1000, depending on how the frequencies are arrayed within the four cells. So, a chi square test can be used to find out how our observed value is significantly different from our expected value (goodness of fit). Whereas, chi square test for independence and homogeneity are concerned with whether one attribute is independent of the other or whether two or more subgroups share the same distribution of a single categorical variable P-Value Calculator for Chi-Square Distribution. Degree of freedom: Chi-square: p-value: p-value type: right tail left tail. CANVAS NOT SUPPORTED IN THIS BROWSER!. Some Final Thoughts Before we Code! The cross tabulation with a \(\chi\) 2 test for independence does provide some insight for the web analyst. But, the test is not considered terribly powerful. Indeed, it is referred to as a low power test because it provides little insight beyond the statistical existence of a relationship between two variables

To improve this 'Chi-square distribution (percentile) Calculator', please fill in questionnaire. Male or Female ? Male Female Age Under 20 years old 20 years old level 30 years old level 40 years old level 50 years old level 60 years old level or over Occupation Elementary school/ Junior high-school studen The table below can help you find a p-value (the top row) when you know the Degrees of Freedom DF (the left column) and the Chi-Square value (the values in the table). See Chi-Square Test page for more details. Or just use the Chi-Square Calculator. The Tabl

A Chi-Square Test of Independence is used to determine whether or not there is a significant association between two categorical variables. This tutorial explains how to perform a Chi-Square Test of Independence in Excel. Example: Chi-Square Test of Independence in Excel. Suppose we want to know whether or not gender is associated with political party preference * A chi-square test will also be performed on the data set, providing that at least 80% of the cells have an expected frequency of 5 or greater, and that no cell has an expected frequency smaller than 1*.0. Data Entry. C 1: C 2: C 3: Totals: The Fisher test is performed only if N≤300 \(\chi^{2}\) test for Homogeneity **calculator**. Enter in the observed values for each of the two samples A and B and hit Calculate and the \(\chi^{2}\) test statistic and the p-value will be calculated for you Find more statistics help at http://www.statisticshowto.co

Details of Chi-square . Before seeing what Excel can do, let's remind ourselves about some details concerning the chi-square distribution. This is a probability distribution that is asymmetric and highly skewed to the right. Values for the distribution are always nonnegative. There is actually an infinite number of chi-square distributions This online statistical tool calculates left-tailed and right-tailed P-values from various test scores (z-score, chi-square, Student's t-value). Choose the type of the statistics distribution and enter the input data in the appropriate fields of this P-value Calculator to get the corresponding P-value Chi-square test table - a table that contains observed and expected values for chi-square calculation; Observed value shows what actually happened, or how many times you've observed something occur. Expected value shows what would happen if the two variables would have no influence on one another whatsoever

Chi-Square calculation formula is as follows: Chi-Square testing does not provide any insight into the degree of difference between the respondent categories, meaning that researchers are not able to tell which statistic (result of the Chi-Square test) is greater or less than the other After completing the calculation, we see that our chi square value is 10.45. To understand the significance of this value, we would need to use a chi square table. You will learn how to do this in.

Formula: Chi Square Statistic = { ( Observed Value- Expected Value ) 2 / ( Expected Value ) } Related Calculator Chi-Square Distribution. When we consider, the null speculation is true, the sampling distribution of the test statistic is called as chi-squared distribution.The chi-squared test helps to determine whether there is a notable difference between the normal frequencies and the observed frequencies in one or more classes or categories Learn how to perform a Chi Square Test with this easy to follow statistics video. I also provided the links for my other statistics videos as well.Chi Square.. The Chi-Square Independence Test can be used on bivariate data to see if the two variables are associated with each other. This video details how to perform..

- Computes p-values and chi-square values for chi-square distributions. StatDistributions.com - Chi-square distribution calculator Enter either the p-value (represented by the blue area on the graph) or the test statistic (the coordinate along the horizontal axis) below to have the other value computed
- Use this free calculator to compute the critical Chi-square (Χ2) value given right tail probability level and the degree of freedom. Please input numbers in the required fields and click CALCULATE. Degrees of freedom: Significance level: CALCULATE Chi-square (X²) value: : What Is The Critical Chi Square Value In case you don't know, the chi read mor
- F-Test Calculator is a Java based application designed to enable you to analyze the Chi-square distribution. It will: · Provide the p-value for an observed chi-square statistic
- Chi Square Calculation. In this post we would look at the Chi Square method of Hypothesis testing. The Chi Square tests or Chi Square Calculation is used to perform Hypothesis testing on categorical variables that we might encounter
- Practical Meta-Analysis Effect Size Calculator David B. Wilson, Ph.D., George Mason University. HOME. EFFECT SIZE TYPE + Standardized Mean Correlation and sample size. Means and standard deviations. 2 by 2 frequency table. Chi-square (2 by 2) t-test. t-test p-value + Odds-ratio (OR) and Risk Ratio (RR) FORMULAS. Chi-square (df = 1; 2 by 2.
- Chi Square Calculator. Reviews. Chi Square Calculator An unlimited calculator for Chi Squared Status: Beta. Brought to you by: maxinternet23. Add a Review. Downloads: 9 This Week Last Update: 2013-12-24. Download. Get Updates. Get project updates, sponsored content from our.

Fisher's, Chi square, McNemar's, Sign test, CI of proportion, NNT (number needed to treat), kappa. Confidence interval of a proportion or count. Chi-square. Compare observed and expected frequencies. Fisher's and chi-square. Analyze a 2x2 contingency table Chi Square test calculator for variance. Chi-Square test variance. Normal Approximation Calculator. Mean Median Mode Grouped Data Calculator. Categories All Calculators, Statistics-Calc Tags confidence interval, confidence interval for variance, interval estimation Post navigation Welcome to the critical value calculator! Here you can quickly determine the critical value(s) for two-tailed tests, as well as for one-tailed tests. It works for most common distributions in statistical testing: the standard normal distribution N(0,1) (that is, when you have a Z-score), t-Student, chi-square, and F-distribution Chi_square statistics calculator uses chi_square_statics = sqrt (( sample size 1 -1)* Standard Deviation ^2)/ Standard deviation 2 to calculate the Chi square statistic, The Chi_square statistics formula is to be used when we select a random sample of size n from a normal population, having a standard deviation equal to σ Free web calculator provided by GraphPad Software. Calculates the P value from z, t, r, F, or chi-square

* The chi-square (χ 2) distribution is a one-parameter family of curves*. The chi-square distribution is commonly used in hypothesis testing, particularly the chi-square test for goodness of fit. Statistics and Machine Learning Toolbox™ offers multiple ways to work with the chi-square distribution To improve this 'Chi-square distribution (percentile) Calculator', please fill in questionnaire

This tool calculates the test time required to demonstrate a mean time between failure (MTBF) value at a given confidence level. It assumes an exponential failure distribution (i.e., constant unit failure rate) and uses the chi-square distribution, as described in the Confidence Limits - Exponential Distribution tool, taking as input the number of allowable failures and required MTBF and. Chi Square for Trend. The Chi Square for Trend function calculates the odds ratio, chi square for linear trend, and p-value statistics based on the response to an exposure score and whether the patient has become ill. The exposure score is a measured outcome from a study that states the level of exposure the patient received Chi-Square Test Expected Range and Expected Values. Expected Range. By default, each distinct value of the variable is defined as a category. To establish categories within a specific range, select Use specified range and enter integer values for lower and upper bounds Our calculator for critical value will both find the critical z value(s) and output the corresponding critical regions for you. Chi Square (Χ 2) critical value calculation. Chi square distributed errors are commonly encountered in goodness-of-fit tests and homogeneity tests, but also in tests for indepdence in contingency tables The chi-square approximation is good if no more than 20% of the expected counts are less than 5 and all individual expected counts are 1 or greater (Yates, Moore & McCabe, 1999, p. 734)

Punnett Square Calculator. A Punnett Square * shows the genotype * s two individuals can produce when crossed. To draw a square, write all possible allele * combinations one parent can contribute to its gametes across the top of a box and all possible allele combinations from the other parent down the left side h = chi2gof(x) returns a test decision for the null hypothesis that the data in vector x comes from a normal distribution with a mean and variance estimated from x, using the chi-square goodness-of-fit test.The alternative hypothesis is that the data does not come from such a distribution. The result h is 1 if the test rejects the null hypothesis at the 5% significance level, and 0 otherwise Thus in calculating chi-square we'd end up adding up 10 numbers that would be near 1. More generally we expect to approximately equal k, the number of data points. If chi-square is a lot bigger than expected something is wrong. Thus one purpose of chi-square is to compare observed results with expected results and see if the result is likely

Chi Square Test is a test of the validity of a hypothesis. The Chi Square P Value tells us if our observed results are statistically significant or not. A statistically significant result means that we reject the null hypothesis (null hypothesis in statistics is a statement or hypothesis which is likely to be incorrect) Factor analysis calculator. The explorative factor analysis is a procedure that aims to uncover structures in large sets of variables. If you have a data set with many variables, it is possible that some of them are related, i.e. correlate with each other. These relationships (correlations) are the basis for factor analysis Chi-Square • Parametric statistics, such as r and t, rest on estimates of population parameters (x for μ and s for σ) and require assumptions about population distributions (in most cases normality) for their probability calculations to be correct. • Sometimes these assumptions cannot be met **Chi-Square** **Calculator**. The **chi-square** distribution **calculator** makes it easy to compute cumulative probabilities, based on the **chi-square** statistic. If anything is unclear, read the Frequently-Asked Questions or the Sample Problems. To learn more about the **chi-square**, read Stat Trek's tutorial on the **chi-square** distribution ADVERTISEMENTS: In this article we will discuss about the concept of chi-square test. The chi-square test was used to test that alleles segregate on Mendelian principles. It is required a comparison of expected and observed numbers. It is used in statistics for judging the significance of the sampling data. Prof. Fisher developed chi-square test. Symbolically [

Chi-Square Test Chi-square is a statistical test commonly used to compare observed data with data we would expect to obtain according to a specific hypothesis. For example, if, according to Mendel's laws, you expected 10 of 20 offspring from a cross to be male and the actual observed number was 8 males, then you might want to know about the goodness to fit between the observed and expected The basic idea of any chi-square test is that you compare how well an . observed breakdown . of people over various categories fits some . expected breakdown. In . this chapter you wil1leam about two types of chi-square tests: First, you will learn about the . chi-square test for goodness of fit, which is a chi-square test involving levels of The chi-square statistic measures the difference between actual and expected counts in a statistical experiment. These experiments can vary from two-way tables to multinomial experiments. The actual counts are from observations, the expected counts are typically determined from probabilistic or other mathematical models * 3 x 3 Contingency Table for Chi-square Analysis The equation below is the basic equation for the chi square test*. Use the Chi square Webulator to enter your data and compute the Chi-square observed score

Because the chi-square test will be significant no matter what, it does not provide any useful information, and other measures of fit need to be considered. As a final note, it is worth mentioning that the chi-square statistic itself (along with its degrees of freedom) can be a useful measure of model fit; it is just the significance test that ends up being useless Using p<.05 as the threshold for significance means that Chi-Square works best when there are only a relatively small number of categories to compare. The more rows in the calculation, the higher the likelihood the p-value will go below .05, whether or not the results show real significance. Additional notes

Critical value calculator helps to find critical values for the normal distribution. It is used to calculate z, chi-square, f and t critical value Chi-square has many tasks to do in statistics but its basic role is in cross-tabulation or contingency tables. The following hypothetical contingency table supposedly shows the cross-tabulation of mode of study against end of subject performance

In this case, the chi-square value comes out to be 32.5; Step 5: Once we have calculated the chi-square value, the next task is to compare it with the critical chi-square value. We can find this in the below chi-square table against the degrees of freedom (number of categories - 1) and the level of significance Chi-square: Testing for goodness of t 4{5 Generally speaking, we should be pleased to nd a sample value of ˜2= that is near 1, its mean value for a good t. In the nal analysis, we must be guided by our own intuition and judgment. The chi-square test, being of a statistical nature, serves only as an indicator, and cannot be iron clad. An exampl This MATLAB function returns the inverse cumulative distribution function (icdf) of the chi-square distribution with degrees of freedom nu, evaluated at the probability values in p For the Chi-square homogeneity test we're gonna use this online calculator instead: Chi-Square Calculator Expected counts. Intuitively, we just need to get the Ratio from the Total counts, and. Free on-line statistical calculator that conducts the chi-square test for a 2 by 2 table, calculates the odds ratio or relative risk with confidence intervals, interprets the results, and makes suggestions about presenting them