A/B Testing Calculator: Chi-Square Test for Statistical Analysis
Check the statistical significance of differences between two categories of categorical data using the Chi-Square test.
Sample 1:
Sample 2:
Verdict:
There is no significant difference.
p = 0.502
The confidence level represents the percentage of times that the confidence interval would contain the true population parameter if you repeated the study multiple times.
A higher confidence level means a wider confidence interval.
A/B Test Calculator: Chi-Squared Test for Statistical Analysis
The Chi-squared test is used in statistics to test hypotheses about the relationship between two categorical variables. This tool helps analyze the dependence between variables and identify significant differences.
With the Chi-squared test, you can determine whether observed differences are random or indicate statistically significant patterns. It is widely used in marketing research, A/B testing, user behavior analysis, and medical statistics.
Our tool automatically calculates the Chi-squared value and displays the significance level. This makes it convenient for researchers, analysts, and data processing specialists who need to quickly perform statistical analysis.
Check Statistical Significance
Used to analyze the relationship between categorical variables in research and experiments.
Used in Marketing Tests and A/B Experiments
Helps assess the impact of changes on user behavior and the effectiveness of advertising campaigns.
Automatic Result Calculation
Allows you to avoid complex calculations manually, simplifying the analysis of large amounts of data.