Introductory statistics for data analysis:
This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Centr...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2023]
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| Schlagworte: | |
| Zusammenfassung: | This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested |
| Beschreibung: | I INTRODUCTION.- 1 Statistics and probability theory.- II PROBABILITY THEORY.- 2 Events.- 3 Probabilities of events.- 4 Probability: One Discrete Random Variable.- 5 Many Random Variables.- 6 Continuous Random Variables.- III STATISTICS.- 7 Introduction.- 8 Estimation of a parameter.- 9 Testing hypotheses about the value of a parameter.- 10 Testing for the equality of two binomial parameters.- 10 Testing for the equality of two binomial parameters.- 11 Chi-square tests (i): tables bigger than two-by-two.- 13 Tests on means.- 14 Non-parametric tests.- Useful charts.- Solutions to problems. |
| Beschreibung: | x, 273 Seiten Illustrationen 583 grams |
| ISBN: | 9783031281884 |
Internformat
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| 245 | 1 | 0 | |a Introductory statistics for data analysis |c Warren J. Ewens, Katherine Brumberg |
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| 338 | |b nc |2 rdacarrier | ||
| 500 | |a I INTRODUCTION.- 1 Statistics and probability theory.- II PROBABILITY THEORY.- 2 Events.- 3 Probabilities of events.- 4 Probability: One Discrete Random Variable.- 5 Many Random Variables.- 6 Continuous Random Variables.- III STATISTICS.- 7 Introduction.- 8 Estimation of a parameter.- 9 Testing hypotheses about the value of a parameter.- 10 Testing for the equality of two binomial parameters.- 10 Testing for the equality of two binomial parameters.- 11 Chi-square tests (i): tables bigger than two-by-two.- 13 Tests on means.- 14 Non-parametric tests.- Useful charts.- Solutions to problems. | ||
| 520 | |a This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested | ||
| 650 | 4 | |a bicssc | |
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| 650 | 4 | |a bisacsh | |
| 650 | 4 | |a Nonparametric statistics | |
| 650 | 4 | |a Biometry | |
| 650 | 4 | |a Statistics | |
| 653 | |a Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik | ||
| 700 | 1 | |a Brumberg, Katherine |e Verfasser |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-031-28189-1 |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034290676 | ||
Datensatz im Suchindex
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| id | DE-604.BV049027915 |
| illustrated | Illustrated |
| index_date | 2024-07-03T22:15:40Z |
| indexdate | 2024-07-10T09:53:12Z |
| institution | BVB |
| isbn | 9783031281884 |
| language | English |
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| physical | x, 273 Seiten Illustrationen 583 grams |
| publishDate | 2023 |
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| publishDateSort | 2023 |
| publisher | Springer |
| record_format | marc |
| spelling | Ewens, W. J. 1937- Verfasser (DE-588)172070325 aut Introductory statistics for data analysis Warren J. Ewens, Katherine Brumberg Cham, Switzerland Springer [2023] x, 273 Seiten Illustrationen 583 grams txt rdacontent n rdamedia nc rdacarrier I INTRODUCTION.- 1 Statistics and probability theory.- II PROBABILITY THEORY.- 2 Events.- 3 Probabilities of events.- 4 Probability: One Discrete Random Variable.- 5 Many Random Variables.- 6 Continuous Random Variables.- III STATISTICS.- 7 Introduction.- 8 Estimation of a parameter.- 9 Testing hypotheses about the value of a parameter.- 10 Testing for the equality of two binomial parameters.- 10 Testing for the equality of two binomial parameters.- 11 Chi-square tests (i): tables bigger than two-by-two.- 13 Tests on means.- 14 Non-parametric tests.- Useful charts.- Solutions to problems. This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested bicssc bisacsh Nonparametric statistics Biometry Statistics Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik Brumberg, Katherine Verfasser aut Erscheint auch als Online-Ausgabe 978-3-031-28189-1 |
| spellingShingle | Ewens, W. J. 1937- Brumberg, Katherine Introductory statistics for data analysis bicssc bisacsh Nonparametric statistics Biometry Statistics |
| title | Introductory statistics for data analysis |
| title_auth | Introductory statistics for data analysis |
| title_exact_search | Introductory statistics for data analysis |
| title_exact_search_txtP | Introductory statistics for data analysis |
| title_full | Introductory statistics for data analysis Warren J. Ewens, Katherine Brumberg |
| title_fullStr | Introductory statistics for data analysis Warren J. Ewens, Katherine Brumberg |
| title_full_unstemmed | Introductory statistics for data analysis Warren J. Ewens, Katherine Brumberg |
| title_short | Introductory statistics for data analysis |
| title_sort | introductory statistics for data analysis |
| topic | bicssc bisacsh Nonparametric statistics Biometry Statistics |
| topic_facet | bicssc bisacsh Nonparametric statistics Biometry Statistics |
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