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Introductory statistics for biology students

By: Material type: TextTextPublication details: USA CHAPMAN & HALL 1997Edition: 2nd edDescription: 256p., 234 x 156mm, 35 line illustrations, tables, paperbackISBN:
  • 0412807602
Subject(s):
Contents:
How long is a worm?: introduction; sampling a population; the normal distribution; expressing variability; exercise. Confidence intervals, computers and comparisons: the imporatance of confidence intervals; introduction to MINITAB. Sampling: first, catch your worm; random sampling; stratified random sampling; systematic sampling; practical problems of sampling; exercise. Planning an experiment: replication; randomization; controls; objectives; laying out the experiment; recording data; MINITAB; exercise. Accounting for background variation and constructing a model: sources of variation; the model; blocking; exercise. Analysing your results is there anything out there?: wholly randomized design; analysis-of-varaince table; randomized complete block designs; which treatment is different?; MINITAB; exercise. Consider the treatments of the field: confidence intervals; factorial structure of treatments; MINITAB; exercises. Relating one thing to another: linear regression; the model; assumptions; further example of linear regression; the importance of plotting observations; confidence intervals; correlation; exercise. What to do when data are skewed, or are ranks or scores, or are counts in categories: introduction; Mann Whitney test; Kruskal Wallis test; friedman's test; chi-squared contingency test. Summarizing data from an observational study: case study 1; case study 2. Your project: choosing a topic and a supervisor; what can happen if you do not seek advice at the start; general principles of experimental design and execution; general principles of survey design and execution; health and safety. Preparing a report - what's it all for?: computers; basics; illustrating results; language; exercise. Appendice: choosing how to analyze data from a replicated, randomixed experiment.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Standard Loan Thurles Library Main Collection 519.502 WAT (Browse shelf(Opens below)) Available 30026000003615
Standard Loan Thurles Library Main Collection 519.502 WAT (Browse shelf(Opens below)) Available R01076MKRCC
Standard Loan Thurles Library Main Collection 519.502 WAT (Browse shelf(Opens below)) 1 Available R02549YKRCT
Standard Loan Thurles Library Main Collection 519.502 WAT (Browse shelf(Opens below)) 2 Checked out 12/07/2023 R11737KRCT

Enhanced descriptions from Syndetics:

Introductory Statistics for Biology Students thoroughly covers the design and analysis of experiments and surveys in biology, containing practical advice on carrying out successful projects and producing clear, informative reports.

PROVIDES PAINLESS COVERAGE OF THE DESIGN AND ANALYSIS OF EXPERIMENTS AND SURVEYS IN BIOLOGY AND CONTAINS PRACTICAL ADVICE ON CARRYING OUT SUCCESSFUL PROJECTS AND PRODUCING CLEAR AND INFORMATIVE REPORTS

This work aims to provide coverage of the design and analysis of experiments and surveys in biology and contains advice on carrying out successful projects and producing clear and informative reports.

How long is a worm?: introduction; sampling a population; the normal distribution; expressing variability; exercise. Confidence intervals, computers and comparisons: the imporatance of confidence intervals; introduction to MINITAB. Sampling: first, catch your worm; random sampling; stratified random sampling; systematic sampling; practical problems of sampling; exercise. Planning an experiment: replication; randomization; controls; objectives; laying out the experiment; recording data; MINITAB; exercise. Accounting for background variation and constructing a model: sources of variation; the model; blocking; exercise. Analysing your results is there anything out there?: wholly randomized design; analysis-of-varaince table; randomized complete block designs; which treatment is different?; MINITAB; exercise. Consider the treatments of the field: confidence intervals; factorial structure of treatments; MINITAB; exercises. Relating one thing to another: linear regression; the model; assumptions; further example of linear regression; the importance of plotting observations; confidence intervals; correlation; exercise. What to do when data are skewed, or are ranks or scores, or are counts in categories: introduction; Mann Whitney test; Kruskal Wallis test; friedman's test; chi-squared contingency test. Summarizing data from an observational study: case study 1; case study 2. Your project: choosing a topic and a supervisor; what can happen if you do not seek advice at the start; general principles of experimental design and execution; general principles of survey design and execution; health and safety. Preparing a report - what's it all for?: computers; basics; illustrating results; language; exercise. Appendice: choosing how to analyze data from a replicated, randomixed experiment.

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