Point estimation and confidence intervals (estimating the true population parameter). E. Hypothesis Testing A crucial component for researchers. Null and Alternative Hypotheses: Setting up tests. Types of Errors: Type I and Type II errors.
The "story" of this textbook is one of moving from simple observations to complex predictions. It is typically structured into four logical parts that guide a reader from the basics to advanced analysis: Null and Alternative Hypotheses: Setting up tests
The final segments of the book introduce students to analytical methods used to draw conclusions from sample data. It is typically structured into four logical parts
Point and interval estimation, including how to calculate confidence intervals. Hypothesis Testing: The logic behind Null ( H0cap H sub 0 ) and Alternative ( H1cap H sub 1 Null and Alternative Hypotheses: Setting up tests
The physical book is thick (often 500+ pages). Carrying it to campus is cumbersome. A PDF on a smartphone or tablet allows students to study during commutes or between classes.
Addition and multiplication theorems, conditional probability, and the utilization of Bayes' Theorem for updating probabilities based on new evidence.