Link to Catalog Information, Objectives, Grading, Attendance
I. Introduction
A. Beginning Concepts, e.g., the importance of statistics to biologists, the proper planning of a research project, the
concept of the null hypothesis and its importance as a good approach to research.
(Read chapters 12; p. 7475
in
Z5*) (Read chapters 12; p. 7980 in Z4*) (Read chapter 1 p. 17 in S&R*)
B. First handson experience in practical applications (p. 12 in H*; chapter 2 p. 721 in H)
II. Data in Biology  Background  Descriptive Statistics
(Chapters 34 in Z5) (Chapters 34 in Z4) (Chapter 2 p. 831; Chapter 4 p. 3959 in S&R)
III. Probability Distributions
A. Introduction (Chapter 5 in Z5) (Chapter 5 in Z4) (p. 6171 in S&R)
B. The Normal Distribution
(Chapter 6, note p. 126128 in Z5)(Chapter 6, note p. 115120 in Z4)
(chapter 6 p. 98125 in S&R)
IV. Estimation, Confidence Limits, Sample Size
A. Estimation and Confidence Limits
(p. 105114, p. 122123 in Z5) (p. 98104, p. 110111 in Z4)
(p. 127157 in S&R)
B. Sample size for an estimate (p. 114120 in Z5) (p. 105109 in Z4)
V. Hypothesis Testing: Introductory Cases
A. Introduction (chapter 4 p. 3854 in H) (p. 157169 in S&R)
B. Testing a single population mean against a hypothetical (standard) value
(p. 97105 in Z5) (p. 9198 in Z4) (p. 169175 in S&R)
1. Normally distributed population with population variance known
2. Normally distributed population with population variance
unknown
3. Population not normally
distributed
C. Testing the difference between two population means
1. Normally distributed populations with population variances
known
2. Normally distributed populations with population variances
unknown
a. Variances assumed to be equal (p. 130137 in Z5) (p. 122127 in Z4)
(p. 206211 in H) (p. 223229 in S&R)
b. Variances assumed to be unequal
(p. 136142, note p. 142151 in Z5) (p. 127129, note p. 129136 in
Z4)
(Also see section H. below)
3. Populations not normally distributed
D. Paired Comparisons (p. 179182 in Z5) (p. 161164 in
Z4)
(p. 212215 in H) (p. 353354 in S&R)
E. Testing a single population proportion against a hypothetical value
F. Testing the difference between two population proportions
(p. 549550, note p. 551561 in Z5) (p. 555557, note p. 558568 in Z4)
(note p. 741 in S&R)
G. Testing a single population variance against a hypothetical value
(p 121122 in Z5) (p 112114 in Z4) (p. 175176 in S&R)
H. Testing the difference between two population variances
(p. 151159 in Z5) (p. 136141 in Z4) (p. 185190 in S&R)
VI. Analysis of Variance (ANOVA)
A. The logic of ANOVA (p. 189190, 197198 in Z5) (p. 177178, 183 in
Z4)
(chapter 8 p. 179200 in S&R)
B. Fixedeffects model ANOVA and randomeffects model ANOVA
(p. 199200, 262 in Z5) (p. 184185, 243 in Z4) ( p. 128 in H) (p. 200205 in S&R)
C. OneWay ANOVA (p. 190214 in Z5) (p. 178195 in Z4) (chapter 7 p. 120144 in H)
(chapter 9 p. 207223 in S&R)
D. Specific Comparisons or Multiple Comparison Tests (p.
226239 in Z5) (p. 208222 in Z4)
(p. 297300, p. 313327 in H) (chapter 9 p. 229261 in S&R)
E. Strength of Association Measures (chapter 11 p. 329332, p. 334337 in H)
F. Randomized Block Design and RepeatedMeasures Design
(p. 270275 in Z5) (p. 188189, 250260 in Z4)
(p. 166174, note p. 175205 in H) (p. 342356 in S&R)
G. Factorial ANOVA: TwoWay ANOVA
(p. 249270, 274277 in
Z5) (p. 231250, 260263 in Z4)
(p. 145155 in H) (p. 321342, p. 357360 in S&R)
H. Assumptions of ANOVA (p. 200202 in Z5) (p. 185188 in Z4) (p. 392409 in S&R)
I. Transformations (p. 286295 in Z5) (p. 273280 in Z4) (p. 409422 in S&R)
(Also see p. 261264, p. 276296 in H; p. 260265 in S&R)
VII. Linear Regression
A. Introduction (p. 328333, 336337, 341342 in Z5) (p. 324329, 332333, 344 in
Z4)
(p.451457 in S&R)
B. Fitting the best line to the data (p. 333336 in Z5) (p. 329332 in Z4) (p. 457466 in S&R)
C. Evaluation of fitted regression line (p. 337347,
349361 in Z5) (p. 333342, 345358 in Z4)
(p. 466493 in S&R)
D. Comparison of regression lines
(p. 363377; note p.
458464 in Z5) (p. 360375; note p. 452459 in Z4)
(p. 493502, note p. 499549 and p. 609681 in S&R)
VIII. Correlation
(p. 379417 in Z5) (p. 377410 in Z4) (p. 338365 in H) (chapter 15 p. 561601 in S&R)
IX. Nonparametric Tests: Analysis of Frequency Data
(p. 162163 in Z5) (chapter 5, p. 5795, p. 264273 in H)
A. Goodness of fit test: Chisquare Test (p. 466478 in
Z5) (p. 461473 in Z4)
(p. 685724 in S&R)
B. Test of Independence or Association: Chisquare Test
(p. 490508 in Z5) (p. 486505 in Z4)
(p. 724760, p. 778787; note p. 760778 in S&R)
X. Other Selected Nonparametric Statistical Tests: Analysis of Ordered Data
(p. 96119 in H) (p. 423447 in S&R)
A. KruskalWallis Test (p. 214218, 239244 in Z5) (p. 196200, 223226 in
Z4)
(p. 107111 in H)
(p. 423427 in S&R)
B. Sign Test (Withinsubjects) (p. 537542 in Z5) (p. 538542 in
Z4) (p. 112115 in H)
(p. 444445 in S&R)
C. Friedman Test (Withinsubjects) (p. 277281 in Z5) (p. 263268 in Z4) (p. 115119 in H)
D. MannWhitney UTest (RankSums Test) (p. 163172 in Z5) (p. 146155 in
Z4)
(p. 427431 in S&R) (p. 102107 in H)
E. KolmogorovSmirnov TwoSample Test (p. 481488 in Z5)
(p. 475483 in Z4)
(p. 434439 in S&R)
F. Wilcoxon's PairedSample SignedRanks Test (Withinsubjects)
(p. 183188 in Z5) (p. 165169 in Z4) (p. 440, 442444 in S&R)
* Z5 = Zar, Biostatistical Analysis, Fifth Edition, 2010
Z4 = Zar, Biostatistical Analysis, Fourth Edition, 1999
H = Linton and Gallo, The Practical Statistician: simplified Handbook of Statistics, 1975
S&R = Sokal and Rohlf, Biometry, Third Edition, 1995
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