HDFS 2040-D01: Module 6 Tests for Predicting
"Statistics may be defined as a body of methods for making wise decisions in the face of uncertainty'."
~ W. A. Wallis
Graded Assignments Due by 8am on July 26th:
Online lecture: External/Internal Validity; Coefficients; Causality; Correlation Textbook Readings: All of Chapter 13 Lecture Run Time (without pausing): 30 minutes Average range for completion time for students: 30 - 66 minutes Outline for lecture: Lecture Outline Graded Assignments Due by 8am on July 27th: Online lecture: Scatterplot and assumptions in Excel Lecture Run Time (without pausing): 22 minutes Plus spreadsheet submission Graded Assignments Due by 8am on July 28th: Online lecture: Prediction Equations; Regression; SEE; Multiple Regression Textbook Readings: All of Chapter 14 Lecture Run Time (without pausing): 18 minutes Average range for completion time for students: 18 - 43 minutes Outline for lecture: Lecture Outline r-table: link Online lecture: Correlation/regression in Excel Lecture Run Time (without pausing): 34 minutes Plus spreadsheet submission Graded Assignments Due by 8am on July 29th: Practice Exercise: Link Graded Assignments Due by 9pm on July 30th: Group Assignment 9: Link Extra-credit: Regression (due by 8am, August 4th): Link Last Exam Day for Module 6 is 10pm on August 5th: Practice Material for Module 6 (not graded): Practice Exam: Link |