Practical Statistics for Geographers and Earth Scientists is a text that all students can work through, regardless of their geography or earth science stream degree pathway and their existing mathematical knowledge. The text demystifies the mathematical component of statistics and presents these tec
Introduction to Statistics for Geographers and Earth Scientists
β Scribed by R. B. G. Williams (auth.)
- Publisher
- Macmillan Education UK
- Year
- 1984
- Tongue
- English
- Leaves
- 358
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Front Matter....Pages i-viii
The Aims of Statistics....Pages 1-3
Types of Numerical Data....Pages 4-8
Populations and Samples....Pages 9-24
Probability and Randomness....Pages 25-37
Frequency Distributions....Pages 38-50
Measures of Central Tendency....Pages 51-60
Measures of Dispersion and Skewness....Pages 61-71
The Binomial and Poisson Distributions....Pages 72-84
The Normal and Log-Normal Distributions....Pages 85-114
Hypothesis Testing: An Introduction....Pages 115-122
One-Sample Tests Based on Z and t....Pages 123-145
Interval Estimation Based on Z and t....Pages 146-150
Paired-Sample Tests Based on t and W....Pages 151-163
Two-Sample Tests Based on F, t and U....Pages 164-188
Chi-Square Tests....Pages 189-217
The Binomial Test and Lillieforsβ Test....Pages 218-225
The Product-Moment Coefficient of Correlation....Pages 226-257
The Interpretation of Correlation Coefficients....Pages 258-278
Linear Regression....Pages 279-301
Confidence Limits and Significance Tests for Sample Regression Lines....Pages 302-323
Back Matter....Pages 324-349
β¦ Subjects
Applications of Mathematics
π SIMILAR VOLUMES
A textbook without any answers. Formulas given without any derivations. And, at least in the 3rd edition, errors that made it past the proofreaders that shouldn't have been missed!Example 2.3e, p22, a simple calculation to find the mean:x(bar) = (9+16+15+20+30+42)/40 = 3.05What did they use to calcu
This textbook provides a superior introduction to applied probability and statistics for engineering or science majors. The author emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures mos