Single Sample T-Test Calculator - TaxCalculater.com
What is a Single Sample T-Test?
A Single Sample T-Test is a statistical tool used to compare the mean of a sample to a known or hypothesized population mean. Whether you're a student, researcher, or professional in fields like education, psychology, or business, our free T-Test Calculator at TaxCalculater.com makes hypothesis testing simple and accurate.
How to Use the T-Test Calculator
Follow these easy steps to perform a Single Sample T-Test:
- Enter Sample Data: Input your data as comma-separated values (e.g., 105, 98, 110).
- Specify Population Mean: Provide the hypothesized population mean (μ).
- Select Significance Level (α): Choose a significance level, such as 0.05 for 95% confidence.
- Choose Hypothesis Type: Select two-tailed, right-tailed, or left-tailed based on your hypothesis.
- Calculate: Click "Calculate" to view detailed results, including t-statistic, critical value, and conclusion.
Note: This calculator assumes normal data distribution. Use software like Python or R with the Shapiro-Wilk test to verify normality.
Enter numeric values separated by commas.
Enter the hypothesized population mean.
Common choice: 0.05 (95% confidence).
Note: This tool does not verify data normality. Use Shapiro-Wilk test in Python or R for confirmation.