Perform a one-sample Z-test to evaluate the null hypothesis.
Test Parameters
Test Conclusion
ConclusionFail to Reject Null Hypothesis
Z-Statistic1.8257
P-Value0.06789Compare with α = 0.05
About this calculator
What is a Null Hypothesis?
The null hypothesis (H₀) is a statement that there is no significant difference or effect. In hypothesis testing, we use sample data to decide whether to reject H₀ in favor of an alternative hypothesis (H₁).
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Pro Tips
If p-value < α, reject H₀.
If p-value ≥ α, do not reject H₀.
Type I error is rejecting a true null hypothesis.
Type II error is failing to reject a false null hypothesis.
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Fun Facts
"The concept was popularized by Ronald Fisher."
"Usually, we set α = 0.05, meaning we accept a 5% chance of Type I error."
