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Pearson's Chi-Square Test
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Pearson's Chi-Square Test - Taschenbuch

ISBN: 6130336381

Gebundene Ausgabe, ID: 6092004

Level of Measurement, Dice, Fisher's Exact Test, Median Test, Nomogram, Deviance, Statistical Significance, Dirichlet Distribution, Categorical Distribution, Uniform Distribution - Buch, gebundene Ausgabe, 132 S., Beilagen: Paperback, Erschienen: 2010 Betascript Publishers High Quality Content by WIKIPEDIA articles! Pearson's chi-square (2) test is the best-known of several chi-square tests - statistical procedures whose results are evaluated by reference to the chi-square distribution. Its properties were first investigated by Karl Pearson. In contexts where it is important to make a distinction between the test statistic and its distribution, names similar to Pearson -squared test or statistic are used.It tests a null hypothesis that the frequency distribution of certain events observed in a sample is consistent with a particular theoretical distribution. The events considered must be mutually exclusive and have total probability 1. A common case for this is where the events each cover an outcome of a categorical variable. A simple example is the hypothesis that an ordinary six-sided die is 'fair', i.e., all six outcomes are equally likely to occur. Pearson's chi-square is the original and most widely-used chi-square test.

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Pearson's Chi-Square Test: Level of Measurement, Dice, Fisher's Exact Test, Median Test, Nomogram, Deviance, Statistical Significance, Dirichlet ... Distribution, Uniform Distribution - Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
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Pearson's Chi-Square Test: Level of Measurement, Dice, Fisher's Exact Test, Median Test, Nomogram, Deviance, Statistical Significance, Dirichlet ... Distribution, Uniform Distribution - Taschenbuch

ISBN: 6130336381

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Pearson's Chi-Square Test - Herausgeber: Surhone, Lambert M. Marseken, Susan F. Timpledon, Miriam T.
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Pearson's Chi-Square Test - Taschenbuch

ISBN: 9786130336387

[ED: Softcover], [PU: Betascript Publishers], High Quality Content by WIKIPEDIA articles! Pearson's chi-square (2) test is the best-known of several chi-square tests - statistical procedures whose results are evaluated by reference to the chi-square distribution. Its properties were first investigated by Karl Pearson. In contexts where it is important to make a distinction between the test statistic and its distribution, names similar to Pearson -squared test or statistic are used.It tests a null hypothesis that the frequency distribution of certain events observed in a sample is consistent with a particular theoretical distribution. The events considered must be mutually exclusive and have total probability 1. A common case for this is where the events each cover an outcome of a categorical variable. A simple example is the hypothesis that an ordinary six-sided die is 'fair', i.e., all six outcomes are equally likely to occur. Pearson's chi-square is the original and most widely-used chi-square test.Versandfertig in 3-5 Tagen, [SC: 0.00]

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Pearson's Chi-Square Test
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Pearson's Chi-Square Test - Taschenbuch

2010, ISBN: 6130336381

Gebundene Ausgabe, ID: 6092004

Level of Measurement, Dice, Fisher's Exact Test, Median Test, Nomogram, Deviance, Statistical Significance, Dirichlet Distribution, Categorical Distribution, Uniform Distribution - Buch, gebundene Ausgabe, 132 S., Beilagen: Paperback, Erschienen: 2010 Betascript Publishers

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Details zum Buch
Pearson's Chi-Square Test

High Quality Content by WIKIPEDIA articles! Pearson's chi-square (2) test is the best-known of several chi-square tests - statistical procedures whose results are evaluated by reference to the chi-square distribution. Its properties were first investigated by Karl Pearson. In contexts where it is important to make a distinction between the test statistic and its distribution, names similar to Pearson -squared test or statistic are used.It tests a null hypothesis that the frequency distribution of certain events observed in a sample is consistent with a particular theoretical distribution. The events considered must be mutually exclusive and have total probability 1. A common case for this is where the events each cover an outcome of a categorical variable. A simple example is the hypothesis that an ordinary six-sided die is 'fair', i.e., all six outcomes are equally likely to occur. Pearson's chi-square is the original and most widely-used chi-square test.

Detailangaben zum Buch - Pearson's Chi-Square Test


EAN (ISBN-13): 9786130336387
ISBN (ISBN-10): 6130336381
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Betascript Publishers

Buch in der Datenbank seit 15.10.2009 00:44:25
Buch zuletzt gefunden am 11.04.2016 18:35:42
ISBN/EAN: 9786130336387

ISBN - alternative Schreibweisen:
613-0-33638-1, 978-613-0-33638-7


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