Binomial Test

The paper tries to explain the introduction of state religions. I start by analyzing the meaning of state religion and the instruments of state intervention in religion. I then discuss the rulers' religious objectives and derive ten testable hypotheses about the factors favoring the introduction of state religions and about the choice of instruments. In the main section of the paper I examine the circumstances in which state religions have been introduced. The sample contains thirty-one state religions. The period stretches from 2630 BC (pharaoh Djoser in Egypt) to 1871 CE (emperor Meiji in Japan). Eight hypotheses turn out to be consistent with the historical evidence. The frequencies are significantly higher than 50% in a binomial test.

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10.1007/springerreference_60800 ◽

2011 ◽

Keyword(s):

Binomial Test

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Analyzing Data When You Are Evaluating a Single Client: Using the One-Sample t Test, the Standard Deviation, and the Binomial Test

Statistics for Human Service Evaluation ◽

10.4135/9781071801024.n7 ◽

2017 ◽

pp. 117-130

Keyword(s):

Standard Deviation ◽

T Test ◽

Binomial Test ◽

The One

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One-Sample Binary Data (One-Sample Z-Test, Binomial Test, 55 Patients)

SPSS for Starters and 2nd Levelers ◽

10.1007/978-3-319-20600-4_34 ◽

2016 ◽

pp. 209-211

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Binary Data ◽

Binomial Test

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3. Der Binomial Test

Nichtparametrische Statistik mit Mathematica ◽

10.1515/9783486800647-004 ◽

1999 ◽

pp. 17-21

Keyword(s):

Binomial Test

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The Binomial Test and Lilliefors’ Test

Introduction to Statistics for Geographers and Earth Scientists ◽

10.1007/978-1-349-06815-9_16 ◽

1984 ◽

pp. 218-225 ◽

Cited By ~ 1

Author(s):

R. B. G. Williams

Keyword(s):

Binomial Test ◽

Lilliefors Test

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Data Spread: Standard Deviations, One Sample Z-Test, One Sample Binomial Test

Clinical Data Analysis on a Pocket Calculator ◽

10.1007/978-3-319-27104-0_35 ◽

2016 ◽

pp. 201-205

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Binomial Test ◽

Standard Deviations

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An Investigation of Shapes for Warning Labels

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/1071181381025001104 ◽

1981 ◽

Vol 25 (1) ◽

pp. 395-399 ◽

Cited By ~ 7

Author(s):

David J. Cochran ◽

Michael W. Riley ◽

Eileen I. Douglass

Keyword(s):

College Students ◽

Binomial Test ◽

Paired Comparisons ◽

Warning Labels ◽

Geometric Shapes ◽

The Difference ◽

Method Of Paired Comparisons

An examination was made of nineteen different geometric shapes of warning labels, using the method of paired comparisons. Sixty-six college students viewed slides of all pairs of the shapes and each time selected the shape that was the better indicator of warning. The binomial test was used to statistically test the difference between the shapes. Results showed that of the shapes tested, the triangle on its vertex (yield sign shape, ∇) was the best warning indicator.

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Using power priors to improve the binomial test of water quality

Journal of Agricultural Biological and Environmental Statistics ◽

10.1198/108571106x110919 ◽

2006 ◽

Vol 11 (2) ◽

pp. 151-168 ◽

Cited By ~ 13

Author(s):

Yuyan Duan ◽

Eric P. Smith ◽

Keying Ye

Keyword(s):

Water Quality ◽

Binomial Test

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