EDR-8201 v8

Blaine, B. E. (2018). Robust statistics. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 1435-1436). SAGE.
This source defines and discusses the concept of robust statistics. These are procedures for which, in spite of a violation to the assumptions in statistics, the results can still be accepted as accurate results.

Chen, Y. H., Wang, Y., & Kromrey, J. (2018). Levene’s homogeneity of variance test. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 970-972). SAGE.
The Levene’s test is a test to examine the assumption of homogeneity of variance. This assumption is used in the independent t - test analysis and the analysis of variance.

Coleman, J. S. (2018). Hypothesis testing. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 803-804). SAGE.
This resource was introduced in a previous week. Hypotheses are formed in inferential statistics and used to make decisions about the population using a sample. This source provides discussion regarding the decisions that are made based on hypothesis testing.

Musselwhite, D., & Wesolowski, B. (2018). Normal distribution. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 1155-1157). SAGE.
The normal distribution represents the distribution of scores in a sample that is obtained from a population. While the majority of scores are in the middle of the distribution, as scores move away from the middle, the frequencies decrease.

Musselwhite, D., & Wesolowski, B. (2018). Standard error of measurement. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 1588-1590). SAGE.
As you learned from this resource in a previous week, this resource explains the spread of measurement errors when a sample is used to estimate a population value. In other words, it describes the possible error between the observed and true scores.

Thombs, L. (2018). Kolmogorov-Smirnov test. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 931-932). SAGE.
This source provides a description of the Kolmogorov-Smirnov test, a test that is used to examine the assumption of normality.

Wu, Y. F. (2018). Confidence interval. In B. B. Frey (Ed.), The SAGE encyclopedia of educational research, measurement, and evaluation (pp. 359-362). SAGE.
This is a measure that represents the interval for estimating the population means using a sample. In these pages, you will learn different ways to calculate the confidence interval.

Z-Scores and the Normal Curve: Lecture 3, Part 2. (2018). Palomar Community College District.
This video describes the normal bell curve.

integral CALC (Producer). (2016). Confidence intervals [Video file]. Films on Demand.
This video gives a real-word example of Confidence Intervals.

Statistics. (2020). Confidence intervals for sample means, unknown population variance: Explanation and examples [Video file]. Easy Education

Lloyd, C. (2021, July 25). Stats I Week 5 [Video]. Kaltura
This video reviews the weekly assignment and defines the needed terminology and processes to complete your assignment this week successfully.