Statistics and mathematics are a part of our lives every single day. Think about how many times you have counted something and compared it to an overall amount, such as a timeframe. For instance, how many times did you floss your teeth in the last seven days? How many baseball games have you gone to in the last month? All of these questions result in some kind of statistic, or more specifically, a fraction, ratio, or percentage.
There are a number of statistics classes offered at colleges and universities in all parts of the country. Many of these classes are referred to as “applied statistics,” which basically means that the concepts studied in them can be directly applied to real-life situations. So often, students ask themselves the following question when learning things in school: “How can I use this in real life?” With applied statistics courses, the answer is simple. Most statistical concepts that students learn are extremely applicable.
Since statistics classes require more than just simple math, you have to have a good textbook in order to get the most out of your classes. According to TopTenTopTen.com, which is a site that ranks a variety of items within various subjects, the following books are considered the top 10 applied statistics college textbooks:
1) Introduction to Applied Statistics: A Non-calculus Based Approach by David D. Hanagal (2009 – Alpha Science International, Ltd.)
2) Introduction to applied statistics by Marvin Lenther (1975 – Prindle, Weber, & Schmidt)
3) Introduction to Mathematical Statistics (Sixth Edition) by Robert V. Hogg, Allen Craig, and Joseph W. McKean (2004 – Prentice Hall)
4) Introduction to Applied Bayesian Statistics and Estimation for Social Scientists by Scott M. Lynch (2007 – Springer)
5) Introduction to Applied Statistics: A Modeling Approach by James K. Lindsey (2004 – Oxford University Press)
6) Introduction to Applied Bayesian Statistics and Estimation for Social Scientists (Statistics for Social Science and Behavioral Sciences) by Scott M. Lynch (2007 – Springer)
7) Introduction to Applied Statistics: A Modeling Approach (Second Edition) by James K. Lindsey (2004 – Oxford University Press)
8) Introduction to Applied Statistical Signal Analysis by Richard Shiavi (1991 – CRC Press)
9) Introduction to Applied Multivariate Statistics by M. S. Srivastava and E.M. Carter (1983 – Elsevier Science, Ltd.)
10) Introduction to Matrix Analytic Methods in Stochastic Modeling (ASA-SIAM Series on Statistics and Applied Probability) (English and Spanish Edition) by G. Latouche and V. Ramaswami (1987 – Society for Industrial Mathematics)
If you are in need of one of these textbooks for your statistics course, click over to Textbooks.org to compare prices on each of these books as well as a selection of many other statistics textbooks.