ANA605 v1

Russell, J. M. (Ed.). (2021). Significant Statistics: An Introduction to Statistics. Adapted from Illowsky, B., Dean, S., Diez, D., Cetinkaya-Rundel, M., Barr, C. D., Vu, J., & Harrington, D. Department of Statistics, University Libraries at Virginia Tech.

• Chapter 6: Foundations of Inference. 6.3 Introduction to Confidence Intervals and 6.4 The Behavior of Confidence Intervals. Introduction to constructing interval estimates to take into account data variability in statistic inference.

Black, K. (n.d.) R Tutorial. University of Georgia Department of Mathematics.

• Chapter 9, 9.1, & 9.2. Review the manual calculation of a confidence interval in R using the qt function for determination of the t-statistic.

Poldrack, R. (2019). Statistica Thinking for the 21st Century.

• Chapter 10.1: Confidence Intervals. Understand the development of confidence intervals for statistical inference accounting for uncertainty and the relationship between interval width and sample size.

Holmes, A., Illowsky, B., Dean, S. (2023). Introductory Business Statistics 2e. OpenStax.

• Chapter 8 Introduction, Chapter 8.1 and Chapter 8.2. Utilize z- and t-statistics for calculation of confidence intervals depending upon size and population standar deviation.

Sarty, G. (2022). Introduction to Applied Statistics for Psychology Students. University of Saskatchewan.

• Chapters 8.1 & 8.3: Develop confidence intervals using z- vs t-distributions

Çetinkaya-Rundel, M. & Hardin, J. Introduction to modern statistics (2e., ch. 12).

• Chapter 12.3. Evaluate confidence intervals with bootstrap samples.

Jesussek, M., Volk-Jesussek, H. (2022). Confidence interval [simply explained] [Video]. YouTube.

• This video simply explains the meaning of confidence intervals and how they are derived for normally-distributed data.

Ace Tutors. (2022). Interpreting confidence intervals explained in 3 minutes with examples [Video]. YouTube.

• This video explains how confidence intervals represent our confidence that a true population value will fall within a range, different from them representing a chance of a population value to be within the calculated range.

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: Confidence Intervals. Explore how confidence intervals provide an estimated range for a population parameter, accounting for sampling variability and uncertainty in statistical inference.