Statistical Analysis in Microbiology. StatNotes
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1 Brochure More information from Statistical Analysis in Microbiology. StatNotes Description: Statistical Analysis in Microbiology: StatNotes has been designed specifically for microbiologists who are involved in experimental research and need to draw accurate conclusions from their findings. It features twenty eight StatNotes that together enable you to understand the basic principles of statistics, choose the correct statistical methods to analyze your experimental data, and work with a variety of commercially available statistical software packages. These StatNotes are based on a series of popular articles published in Microbiologist, the official magazine of the Society for Applied Microbiology. They explore a variety of topics in statistics that are essential for analyzing experimental data, including: - Nature of variables - Comparison of means of two or more groups - Non parametric statistics - Analysis of variance - Correlation of variables - Multiple linear regression and factor analysis Throughout the book, the logic and mechanics of each statistical test presented are carefully explained. Moreover, each statistical test is illustrated with examples drawn from actual experiments and research data in microbiology. As a result, you can clearly see how each test is interpreted and what types of conclusions can be drawn from the research data. In the back of the book, you'll find a glossary of statistical terms and their abbreviations as well as a summary of sample size calculations. You'll also find two appendices that help you select the most appropriate statistical tests based on the type of research you're conducting and the type of data that you're gathering. Given the wide variety of statistical software packages, it's essential that you understand the underlying principles and purpose of each statistical method; applying an inappropriate statistical test can easily lead to the wrong conclusions. Written specifically for microbiologists, the highly acclaimed and popular StatNotes enable you to choose which statistical methods should be applied to analyze and draw correct conclusions from your experimental data. Contents: Preface. Acknowledgments. Note on Statistical Software. 1 ARE THE DATA NORMALLY DISTRIBUTED? 1.1 Introduction. 1.2 Types of Data and Scores. 1.3 Scenario. 1.4 Data. 1.5 Analysis: Fitting the Normal Distribution.
2 1.6 Conclusion. 2 DESCRIBING THE NORMAL DISTRIBUTION. 2.1 Introduction. 2.2 Scenario. 2.3 Data. 2.4 Analysis: Describing the Normal Distribution. 2.5 Analysis: Is a Single Observation Typical of the Population? 2.6 Analysis: Describing the Variation of Sample Means. 2.7 Analysis: How to Fit Confidence Intervals to a Sample Mean. 2.8 Conclusion. 3 TESTING THE DIFFERENCE BETWEEN TWO GROUPS. 3.1 Introduction. 3.2 Scenario. 3.3 Data. 3.4 Analysis: The Unpaired t Test. 3.5 One Tail and Two Tail Tests. 3.6 Analysis: The Paired t Test. 3.7 Unpaired versus the Paired Design. 3.8 Conclusion. 4 WHAT IF THE DATA ARE NOT NORMALLY DISTRIBUTED? 4.1 Introduction. 4.2 How to Recognize a Normal Distribution. 4.3 Nonnormal Distributions. 4.4 Data Transformation. 4.5 Scenario. 4.6 Data. 4.7 Analysis: Mann Whitney U test (for Unpaired Data). 4.8 Analysis: Wilcoxon Signed Rank Test (for Paired Data). 4.9 Comparison of Parametric and Nonparametric Tests Conclusion. 5 CHI SQUARE CONTINGENCY TABLES. 5.1 Introduction.
3 5.2 Scenario. 5.3 Data. 5.4 Analysis: 2 x 2 Contingency Table. 5.5 Analysis: Fisher's 2 x 2 Exact Test. 5.6 Analysis: Rows x Columns (R x C) Contingency Tables. 5.7 Conclusion. 6 ONE WAY ANALYSIS OF VARIANCE (ANOVA). 6.1 Introduction. 6.2 Scenario. 6.3 Data. 6.4 Analysis. 6.5 Assumptions of ANOVA. 6.6 Conclusion. 7 POST HOC TESTS. 7.1 Introduction. 7.2 Scenario. 7.3 Data. 7.4 Analysis: Planned Comparisons between the Means. 7.5 Analysis: Post Hoc Tests. 7.6 Conclusion. 8 IS ONE SET OF DATA MORE VARIABLE THAN ANOTHER? 8.1 Introduction. 8.2 Scenario. 8.3 Data. 8.4 Analysis of Two Groups: Variance Ratio Test. 8.5 Analysis of Three or More Groups: Bartlett's Test. 8.6 Analysis of Three or More Groups: Levene's Test. 8.7 Analysis of Three or More Groups: Brown Forsythe Test. 8.8 Conclusion. 9 STATISTICAL POWER AND SAMPLE SIZE. 9.1 Introduction.
4 9.2 Calculate Sample Size for Comparing Two Independent Treatments. 9.3 Implications of Sample Size Calculations. 9.4 Calculation of the Power (P ) of a Test. 9.5 Power and Sample Size in Other Designs. 9.6 Power and Sample Size in ANOVA. 9.7 More Complex Experimental Designs. 9.8 Simple Rule of Thumb. 9.9 Conclusion. 10 ONE WAY ANALYSIS OF VARIANCE (RANDOM EFFECTS MODEL): THE NESTED OR HIERARCHICAL DESIGN Introduction Scenario Data Analysis Distinguish Random and Fixed Effect Factors Conclusion. 11 TWO WAY ANALYSIS OF VARIANCE Introduction Scenario Data Analysis Conclusion. 12 TWO FACTOR ANALYSIS OF VARIANCE Introduction Scenario Data Analysis Conclusion. 13 SPLIT PLOT ANALYSIS OF VARIANCE Introduction Scenario Data Analysis.
5 13.5 Conclusion. 14 REPEATED MEASURES ANALYSIS OF VARIANCE Introduction Scenario Data Analysis Conclusion. 15 CORRELATION OF TWO VARIABLES Introduction Naming Variables Scenario Data Analysis Limitations of r Conclusion. 16 LIMITS OF AGREEMENT Introduction Scenario Data Analysis Conclusion. 17 NONPARAMETRIC CORRELATION COEFFICIENTS Introduction Bivariate Normal Distribution Scenario Data Analysis: Spearman's Rank Correlation (, rs) Analysis: Kendall s Rank Correlation ( ) Analysis: Gamma ( ) Conclusion. 18 FITTING A REGRESSION LINE TO DATA.
6 18.1 Introduction Line of Best Fit Scenario Data Analysis: Fitting the Line Analysis: Goodness of Fit of the Line to the Points Conclusion. 19 USING A REGRESSION LINE FOR PREDICTION AND CALIBRATION Introduction Types of Prediction Problem Scenario Data Analysis Conclusion. 20 COMPARISON OF REGRESSION LINES Introduction Scenario Data Analysis Conclusion. 21 NONLINEAR REGRESSION: FITTING AN EXPONENTIAL CURVE Introduction Common Types of Curve Scenario Data Analysis Conclusion. 22 NONLINEAR REGRESSION: FITTING A GENERAL POLYNOMIAL TYPE CURVE Introduction Scenario A: Does a Curve Fit Better Than a Straight Line? 22.3 Data Analysis.
7 22.5 Scenario B: Fitting a General Polynomial Type Curve Data Analysis Conclusion. 23 NONLINEAR REGRESSION: FITTING A LOGISTIC GROWTH CURVE Introduction Scenario Data Analysis: Nonlinear Estimation Methods Conclusion. 24 NONPARAMETRIC ANALYSIS OF VARIANCE Introduction Scenario Analysis: Kruskal Wallis Test Analysis: Friedmann's Test Conclusion. 25 MULTIPLE LINEAR REGRESSION Introduction Scenario Data Analysis Conclusion. 26 STEPWISE MULTIPLE REGRESSION Introduction Scenario Data Analysis by the Step Up Method Conclusion. 27 CLASSIFICATION AND DENDROGRAMS Introduction Scenario.
8 27.3 Data Analysis Conclusion. 28 FACTOR ANALYSIS AND PRINCIPAL COMPONENTS ANALYSIS Introduction Scenario Data Analysis: Theory Analysis: How Is the Analysis Carried Out? 28.6 Conclusion. References. Appendix 1 Which Test to Use: Table. Appendix 2 Which Test to Use: Key. Appendix 3 Glossary of Statistical Terms and Their Abbreviations. Appendix 4 Summary of Sample Size Procedures for Different Statistical Tests. Index of Statistical Tests and Procedures. Ordering: Order Online - Order by Fax - using the form below Order by Post - print the order form below and send to Research and Markets, Guinness Centre, Taylors Lane, Dublin 8, Ireland.
9 Page 1 of 2 Fax Order Form To place an order via fax simply print this form, fill in the information below and fax the completed form to (from USA) or (from Rest of World). If you have any questions please visit Order Information Please verify that the product information is correct. Product Name: Web Address: Office Code: Statistical Analysis in Microbiology. StatNotes SC Product Format Please select the product format and quantity you require: Hard Copy (Paper back): Quantity USD 93 + USD 27 Shipping/Handling * Shipping/Handling is only charged once per order. * The price quoted above is only valid for 30 days. Please submit your order within that time frame to avail of this price as all prices are subject to change. Contact Information Please enter all the information below in BLOCK CAPITALS Title: Mr Mrs Dr Miss Ms Prof First Name: Last Name: Address: * Job Title: Organisation: Address: City: Postal / Zip Code: Country: Phone Number: Fax Number: * Please refrain from using free accounts when ordering (e.g. Yahoo, Hotmail, AOL)
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