A EDULYT’S Statistics course is equivalent to a one-semester, introductory, non-calculus-based college course in statistics. The course introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data.There are four themes in theEDULYT’S Statistics course: exploring data, sampling and experimentation, anticipating patterns, and statistical inference. Students use technology, investigations, problem solving, and writing as they build conceptual understanding.
OVERVIEW OF CONTENTS –
Introduction to Stats – An introduction to the language of statistics. Discussion and instruction on defining study types. Data management topics, such as preparing data for analysis, will also be addressed. Data description techniques such as graphical methods and measures of central tendency, measures of variability, and calculation and interpretation from statistical tests including the one-sample t-test, two-sample t-test, and one-way analysis of variance as time permits. Relevant output from statistical software like SAS, R, and Excel for each test will be considered and interpreted; however, statistical software programming skills will not be explicitly taught.
Introduction to Experimental Design and Analysis – In this course students will review ANOVA concepts and learn more experimental design concepts including factorial experiments, blocked designs, and split unit experiments. Students will learn to identify treatment structures, design structures and mixed models, and perform analyses of data from experimental designs using SAS and interpret the results.