## Expect the Unexpected: A First Course in BiostatisticsStatistical reasoning and modeling are of critical importance to modern biology. This textbook introduces fundamental concepts from probability and statistics which will pave the way for the student of biology to become a well-rounded scientist. No previous study of probability or statistics is assumed. Calculus topics are not used extensively in this book, though some integration and differentiation are expected. The calculus prerequisite is primarily intended to assure a certain level of mathematical maturity. This book puts emphasis on examples, which are presented to motivate the theory. The presentation style is concise and self-contained, briefly including the mathematical elements that are needed for studying probability and statistics. The examples are relevant to students in the life sciences with interests in genetics, biology, ecology, health, etc. We believe that aspects of probability theory are of biological interest and that probability underlies the theory of inferential statistics. Thus, we place an equal emphasis on probability and statistics which are both essential for solving and understanding many types of biological problems. |

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Expect the Unexpected: A First Course in Biostatistics Raluca Balan,Gilles Lamothe Limited preview - 2011 |

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ˆβ allele approximately assume average blood box plots calculate called cancer cell conclude confidence interval Construct ddbb degrees of freedom denote density discrete random variable disease dosage drug event Example FEV1 fish function gain evidence gene genotype germination H0 is true height histogram hypothesis H0 independent individuals infected interval for µ larger least squares line mean µ measure method negative normal distribution normal probability plot normal random variable null hypothesis number of colds observed value offspring p-value parameter patients plants point estimate population predictor Problem proportion Punnett square QQ-plot quartile random sample randomly chosen randomly selected ratio reject H0 sample correlation sample mean sample standard deviation sample variance scatter plot significance species standard normal Table test H0 test of hypothesis test statistic Theorem Total tumor type I error underlying assumptions versus H1