Statistics Data Handling Biologists by Millar Neil (36 results)

Paperback. Condition: New. An accessible and authoritative introduction to data handling and analysis for biology students-requiring no previous experience of statistics.This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics - or any particular enthusiasm for mathematics.The book shows students how to maintain focus on the biological meaning of their data analysis, rather than getting bogged down in technical mathematics, by using software such as Excel, Real Statistics (a free add-on for Excel) and jamovi (an easy-to-use front end for R). It also introduces simple strategies to make biological data analysis more reliable and to tackle the 'reproducibility crisis'. These strategies include power analysis to choose suitable sample sizes; estimating the true probability of the null hypothesis from the p-value; and a 'traffic light' system to determine statistical significance.Introductory chapters cover SI units and basic mathematics, study design, descriptive statistics, and presenting results in tables and charts, including a detailed discussion of the different kinds of biological investigation, data types, and uncertainty-essential for choosing the correct charts and tests to present and analyse data. There is also a comprehensive introduction to statistical tests, including effect size, how to determine statistical significance without making false-positive errors, and how to more easily draw out useful conclusions. This is followed by demonstrations of over 20 statistical tests, with worked examples for each, and an additional 70 practice questions with answers. Appendices include greater detail on how to carry out data analysis using calculators, spreadsheets and statistical software.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Paperback. Condition: new. Paperback. An accessible and authoritative introduction to data handling and analysis for biology studentsrequiring no previous experience of statistics.This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics or any particular enthusiasm for mathematics.The book shows students how to maintain focus on the biological meaning of their data analysis, rather than getting bogged down in technical mathematics, by using software such as Excel, Real Statistics (a free add-on for Excel) and jamovi (an easy-to-use front end for R). It also introduces simple strategies to make biological data analysis more reliable and to tackle the reproducibility crisis. These strategies include power analysis to choose suitable sample sizes; estimating the true probability of the null hypothesis from the p-value; and a traffic light system to determine statistical significance.Introductory chapters cover SI units and basic mathematics, study design, descriptive statistics, and presenting results in tables and charts, including a detailed discussion of the different kinds of biological investigation, data types, and uncertaintyessential for choosing the correct charts and tests to present and analyse data. There is also a comprehensive introduction to statistical tests, including effect size, how to determine statistical significance without making false-positive errors, and how to more easily draw out useful conclusions. This is followed by demonstrations of over 20 statistical tests, with worked examples for each, and an additional 70 practice questions with answers. Appendices include greater detail on how to carry out data analysis using calculators, spreadsheets and statistical software. An accessible and authoritative introduction to data handling and analysis for biology studentsrequiring no previous experience of statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: As New. Unread book in perfect condition.

Paperback or Softback. Condition: New. Statistics and Data Handling for Biologists: A Student's Guide. Book.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condition: New. An accessible and authoritative introduction to data handling and analysis for biology students-requiring no previous experience of statistics.This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics - or any particular enthusiasm for mathematics.The book shows students how to maintain focus on the biological meaning of their data analysis, rather than getting bogged down in technical mathematics, by using software such as Excel, Real Statistics (a free add-on for Excel) and jamovi (an easy-to-use front end for R). It also introduces simple strategies to make biological data analysis more reliable and to tackle the 'reproducibility crisis'. These strategies include power analysis to choose suitable sample sizes; estimating the true probability of the null hypothesis from the p-value; and a 'traffic light' system to determine statistical significance.Introductory chapters cover SI units and basic mathematics, study design, descriptive statistics, and presenting results in tables and charts, including a detailed discussion of the different kinds of biological investigation, data types, and uncertainty-essential for choosing the correct charts and tests to present and analyse data. There is also a comprehensive introduction to statistical tests, including effect size, how to determine statistical significance without making false-positive errors, and how to more easily draw out useful conclusions. This is followed by demonstrations of over 20 statistical tests, with worked examples for each, and an additional 70 practice questions with answers. Appendices include greater detail on how to carry out data analysis using calculators, spreadsheets and statistical software.…

Condition: New.

Hardcover. Condition: new. Hardcover. An accessible and authoritative introduction to data handling and analysis for biology studentsrequiring no previous experience of statistics.This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics or any particular enthusiasm for mathematics.The book shows students how to maintain focus on the biological meaning of their data analysis, rather than getting bogged down in technical mathematics, by using software such as Excel, Real Statistics (a free add-on for Excel) and jamovi (an easy-to-use front end for R). It also introduces simple strategies to make biological data analysis more reliable and to tackle the reproducibility crisis. These strategies include power analysis to choose suitable sample sizes; estimating the true probability of the null hypothesis from the p-value; and a traffic light system to determine statistical significance.Introductory chapters cover SI units and basic mathematics, study design, descriptive statistics, and presenting results in tables and charts, including a detailed discussion of the different kinds of biological investigation, data types, and uncertaintyessential for choosing the correct charts and tests to present and analyse data. There is also a comprehensive introduction to statistical tests, including effect size, how to determine statistical significance without making false-positive errors, and how to more easily draw out useful conclusions. This is followed by demonstrations of over 20 statistical tests, with worked examples for each, and an additional 70 practice questions with answers. Appendices include greater detail on how to carry out data analysis using calculators, spreadsheets and statistical software. An accessible and authoritative introduction to data handling and analysis for biology studentsrequiring no previous experience of statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. An accessible and authoritative introduction to data handling and analysis for biology studentsrequiring no previous experience of statistics.This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics or any particular enthusiasm for mathematics.The book shows students how to maintain focus on the biological meaning of their data analysis, rather than getting bogged down in technical mathematics, by using software such as Excel, Real Statistics (a free add-on for Excel) and jamovi (an easy-to-use front end for R). It also introduces simple strategies to make biological data analysis more reliable and to tackle the reproducibility crisis. These strategies include power analysis to choose suitable sample sizes; estimating the true probability of the null hypothesis from the p-value; and a traffic light system to determine statistical significance.Introductory chapters cover SI units and basic mathematics, study design, descriptive statistics, and presenting results in tables and charts, including a detailed discussion of the different kinds of biological investigation, data types, and uncertaintyessential for choosing the correct charts and tests to present and analyse data. There is also a comprehensive introduction to statistical tests, including effect size, how to determine statistical significance without making false-positive errors, and how to more easily draw out useful conclusions. This is followed by demonstrations of over 20 statistical tests, with worked examples for each, and an additional 70 practice questions with answers. Appendices include greater detail on how to carry out data analysis using calculators, spreadsheets and statistical software. An accessible and authoritative introduction to data handling and analysis for biology studentsrequiring no previous experience of statistics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Paperback. Condition: New. An accessible and authoritative introduction to data handling and analysis for biology students-requiring no previous experience of statistics.This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics - or any particular enthusiasm for mathematics.The book shows students how to maintain focus on the biological meaning of their data analysis, rather than getting bogged down in technical mathematics, by using software such as Excel, Real Statistics (a free add-on for Excel) and jamovi (an easy-to-use front end for R). It also introduces simple strategies to make biological data analysis more reliable and to tackle the 'reproducibility crisis'. These strategies include power analysis to choose suitable sample sizes; estimating the true probability of the null hypothesis from the p-value; and a 'traffic light' system to determine statistical significance.Introductory chapters cover SI units and basic mathematics, study design, descriptive statistics, and presenting results in tables and charts, including a detailed discussion of the different kinds of biological investigation, data types, and uncertainty-essential for choosing the correct charts and tests to present and analyse data. There is also a comprehensive introduction to statistical tests, including effect size, how to determine statistical significance without making false-positive errors, and how to more easily draw out useful conclusions. This is followed by demonstrations of over 20 statistical tests, with worked examples for each, and an additional 70 practice questions with answers. Appendices include greater detail on how to carry out data analysis using calculators, spreadsheets and statistical software.…

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: new. Hardcover. An accessible and authoritative introduction to data handling and analysis for biology studentsrequiring no previous experience of statistics.This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics or any particular enthusiasm for mathematics.The book shows students how to maintain focus on the biological meaning of their data analysis, rather than getting bogged down in technical mathematics, by using software such as Excel, Real Statistics (a free add-on for Excel) and jamovi (an easy-to-use front end for R). It also introduces simple strategies to make biological data analysis more reliable and to tackle the reproducibility crisis. These strategies include power analysis to choose suitable sample sizes; estimating the true probability of the null hypothesis from the p-value; and a traffic light system to determine statistical significance.Introductory chapters cover SI units and basic mathematics, study design, descriptive statistics, and presenting results in tables and charts, including a detailed discussion of the different kinds of biological investigation, data types, and uncertaintyessential for choosing the correct charts and tests to present and analyse data. There is also a comprehensive introduction to statistical tests, including effect size, how to determine statistical significance without making false-positive errors, and how to more easily draw out useful conclusions. This is followed by demonstrations of over 20 statistical tests, with worked examples for each, and an additional 70 practice questions with answers. Appendices include greater detail on how to carry out data analysis using calculators, spreadsheets and statistical software. An accessible and authoritative introduction to data handling and analysis for biology studentsrequiring no previous experience of statistics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardback. Condition: New. An accessible and authoritative introduction to data handling and analysis for biology students-requiring no previous experience of statistics.This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics - or any particular enthusiasm for mathematics.The book shows students how to maintain focus on the biological meaning of their data analysis, rather than getting bogged down in technical mathematics, by using software such as Excel, Real Statistics (a free add-on for Excel) and jamovi (an easy-to-use front end for R). It also introduces simple strategies to make biological data analysis more reliable and to tackle the 'reproducibility crisis'. These strategies include power analysis to choose suitable sample sizes; estimating the true probability of the null hypothesis from the p-value; and a 'traffic light' system to determine statistical significance.Introductory chapters cover SI units and basic mathematics, study design, descriptive statistics, and presenting results in tables and charts, including a detailed discussion of the different kinds of biological investigation, data types, and uncertainty-essential for choosing the correct charts and tests to present and analyse data. There is also a comprehensive introduction to statistical tests, including effect size, how to determine statistical significance without making false-positive errors, and how to more easily draw out useful conclusions. This is followed by demonstrations of over 20 statistical tests, with worked examples for each, and an additional 70 practice questions with answers. Appendices include greater detail on how to carry out data analysis using calculators, spreadsheets and statistical software.…

Condition: As New. Unread book in perfect condition.

Paperback. Condition: Brand New. 240 pages. 9.60x6.69x9.61 inches. In Stock. This item is printed on demand.

Hardcover. Condition: Brand New. 240 pages. 9.60x6.69x9.61 inches. In Stock. This item is printed on demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An accessible and authoritative introduction to data handling and analysis for biology students-requiring no previous experience of statistics. This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics - or any particular enthusiasm for mathematics. The book shows students how to maintain focus on the biological meaning of their data analysis, rather than getting bogged down in technical mathematics, by using software such as Excel, Real Statistics (a free add-on for Excel) and jamovi (an easy-to-use front end for R). It also introduces simple strategies to make biological data analysis more reliable and to tackle the 'reproducibility crisis'. These strategies include power analysis to choose suitable sample sizes; estimating the true probability of the null hypothesis from the p-value; and a 'traffic light' system to determine statistical significance. Introductory chapters cover SI units and basic mathematics, study design, descriptive statistics, and presenting results in tables and charts, including a detailed discussion of the different kinds of biological investigation, data types, and uncertainty-essential for choosing the correct charts and tests to present and analyse data. There is also a comprehensive introduction to statistical tests, including effect size, how to determine statistical significance without making false-positive errors, and how to more easily draw out useful conclusions. This is followed by demonstrations of over 20 statistical tests, with worked examples for each, and an additional 70 practice questions with answers. Appendices include greater detail on how to carry out data analysis using calculators, spreadsheets and statistical software.…

Paperback. Condition: new. Paperback. An accessible and authoritative introduction to data handling and analysis for biology studentsrequiring no previous experience of statistics.This book serves as a practical and thorough guide to statistics and data analysis, specifically tailored to the biological sciences. Written in straightforward language, it makes data analysis easy to understand for biology students with no previous knowledge of statistics or any particular enthusiasm for mathematics.The book shows students how to maintain focus on the biological meaning of their data analysis, rather than getting bogged down in technical mathematics, by using software such as Excel, Real Statistics (a free add-on for Excel) and jamovi (an easy-to-use front end for R). It also introduces simple strategies to make biological data analysis more reliable and to tackle the reproducibility crisis. These strategies include power analysis to choose suitable sample sizes; estimating the true probability of the null hypothesis from the p-value; and a traffic light system to determine statistical significance.Introductory chapters cover SI units and basic mathematics, study design, descriptive statistics, and presenting results in tables and charts, including a detailed discussion of the different kinds of biological investigation, data types, and uncertaintyessential for choosing the correct charts and tests to present and analyse data. There is also a comprehensive introduction to statistical tests, including effect size, how to determine statistical significance without making false-positive errors, and how to more easily draw out useful conclusions. This is followed by demonstrations of over 20 statistical tests, with worked examples for each, and an additional 70 practice questions with answers. Appendices include greater detail on how to carry out data analysis using calculators, spreadsheets and statistical software. An accessible and authoritative introduction to data handling and analysis for biology studentsrequiring no previous experience of statistics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…