An Introduction to Mathematical Statistics and Its Applications

by Richard Larsen and Morris Marx

This is a very nice introduction to probability and statistics. The authors do a great job of introducing both simple and complex concepts. A nice feature of this book is the use of some more advanced mathematics than is typically seen in an introductory course like this one. Readers unfamiliar with this book can see what others have said here.

To learn this material as well as possible I'm working through the book's exercises and wrote up solutions as I went along. This a finished work and currently includes solutions to all questions.

You can find the computational exercises (without explanations) for free in the links below. I'm selling the solutions to all questions in PDF format for $50.00 (US dollars) via PayPal (see the link below).

I should mention that there is another solution manual (of unknown quality) that only covers the odd questions at about the same price here.

• Chapter 3 (Random Variables)
  
• Chapter 4 (Special Distributions)
  
• Chapter 5 (Estimation)
  
• Chapter 6 (Hypothesis Testing)
  
• Chapter 7 (Inferences Based on the Normal Distribution)
  
• Chapter 8 (Types Of Data: A Brief Overview)
  
• Chapter 9 (Two-Sample Inference)
  
• Chapter 10 (Goodness-of-Fit Tests)
  
• Chapter 11 (Regression)
  
• Chapter 12 (The Analysis of Variance)
  
• Chapter 13 (Randomized Block Designs)
  
• Chapter 14 (Nonparametric Statistics)