Compare the means of two independent groups to determine if they are significantly different.
Experimental Group (G1)
Control Group (G2)
Statistical Analysis
T-Statistic-1.4026Low Evidence
Degrees of Freedom56.17
Mean Difference2.00
Standard Error1.4259
Effect Size1.40
Overview
The independent samples t-test (or Welch's t-test) compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different.
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Pro Tips
A t-statistic greater than 2.0 often indicates a significant difference at the 95% confidence level.
Degrees of freedom (DF) are calculated using the Welch-Satterthwaite equation here.
The 'Standard Error' measures how much the mean difference might vary due to chance.
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Fun Facts
"Every time a tech giant tests a new button color (A/B testing), they are likely running this calculation."
"Welch's t-test is more robust than Student's t-test because it doesn't assume equal variances."
"If the p-value is less than 0.05, it's generally considered 'statistically significant'."
