LibGuides: ANA605 v1: Module 2 Resources

Module 2 Required Resources

Statistica: Thinking for the 21st Century
Poldrack, R. (2019). Statistica Thinking for the 21st Century.
- Chapter 7: Sampling. Review how the Central Limit Theorem is applied to sampling distributions to understand Gaussian inference of the mean.
Introduction to Applied Statistics for Psychology Students
Sarty, G. (2022). Introduction to Applied Statistics for Psychology Students. University of Saskatchewan.
- Chapter 7.2: The Central Limit Theorem . Explore the process of building a normal distribution of a statistic through the use of sampling distributions and application of the central limit theorem.
Introductory Business Statistics 2e
Holmes, A., Illowsky, B., Dean, S. (2023). Introductory Business Statistics 2e. OpenStax.
- Chapter 7: Central Limit Theorem. Learn how the Central Limit Theorem results in sampling distributions of a statistic being normally distributed.
Sampling Distribution of the Sample Mean
Khan Academy. (2010). Sampling distribution of the sample mean [Video]. YouTube.
- View how sampling distributions of a statistic approximate a normal distribution through simulated examples.

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (2nd)
Bruce, P., Bruce, A., Gedeck, P. (2020). Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (2nd). O’Reilly Media, Inc.
- Chapter 2: Data and Sampling Distributions, Section: Sampling Distribution of a Statistic. Explore how the distribution of a statistic is created through repeated sampling from a population, resulting in normality and reduced standard error.