Having data is only half the battle. How do you know your data actually means something? With some simple Python code, you can quickly check if differences in data are actually significant. In ...

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...

Figure 1. (click to enlarge) Effect of temperature on seal strength. The green bars represent samples created using low temperature. The orange indicates packages created using the high-temperature ...

Learn about t-test assumption, including scale, sampling, normality, sample size, and variance equality, for accurate statistical analysis and reliable results.

Advances in high-throughput biology and computer science are driving an exponential increase in the number of hypothesis tests in genomics and other scientific disciplines. Studies using current ...

Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 49, No. 3 (Dec., 1987), pp. 199-217 (19 pages) When a contingency table has many cells having very small frequencies, possibly ...

Suggested Citation: "Appendix D: Using Bayes Analysis for Hypothesis Testing." National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and ...

To establish whether clinical-product quality remains constant when making a process change can be a challenging exercise. Limited data availability further complicates the assessment of whether the ...