Using Cohen’s d-test to judge the effect size, calculate the value of Cohen’s d and interpret the outcome. Is the effect size small, medium, or large?
Our sample size of 100 is fairly large. At what smaller sample size does the difference between the population mean of 100 and the sample mean of 103 become NOT statistically significant? Keep reducing the sample size in the calculator until you find out. Post that sample size here when you discover it. Explain how this does or does not change your thinking about the impact of sample size on significance testing.
What is the difference between a z-score, and a z-test?