SUMMARY
The discussion focuses on calculating the sample size for a one-sample t-test with a 95% confidence interval. The relevant formula is x - u / (s / √n), where x is the sample mean (101.6), u is the population mean (100), s is the standard deviation (15), and n is the sample size. The correct sample size, determined using the t-distribution for a 95% confidence level, is 338. The critical t-value for this calculation is 1.96, applicable when n exceeds 30.
PREREQUISITES
- Understanding of hypothesis testing and t-tests
- Familiarity with confidence intervals and their calculation
- Knowledge of statistical terms such as mean, standard deviation, and sample size
- Ability to manipulate algebraic equations
NEXT STEPS
- Learn how to calculate confidence intervals using the formula $$\overline{x} \pm t^{*} \frac{s}{\sqrt{n}}$$
- Study the differences between t-distribution and normal distribution
- Explore sample size determination for different confidence levels and power analysis
- Investigate the implications of sample size on statistical power and hypothesis testing
USEFUL FOR
Statisticians, data analysts, researchers conducting hypothesis testing, and students studying statistics will benefit from this discussion.