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Human Heredity: Principles and Iss...

11th Edition
Michael Cummings
Publisher: Cengage Learning
ISBN: 9781305251052

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BuyFindarrow_forward

Human Heredity: Principles and Iss...

11th Edition
Michael Cummings
Publisher: Cengage Learning
ISBN: 9781305251052
Chapter 3.7, Problem 2EG
Textbook Problem
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For most cases, a p value of 0.05 is used to determine whether results fit expected values. Is this a “magic number,” or could p values be set more stringently, say 0.01, or more lax, say 0.10? What effect would these values have on the reliability of the chi-square test?

Summary Introduction

To determine: Whether the p values in the chi-square test can be set more stringently than its present value of 0.05.

Introduction: The chi-square test was developed by Karl Pearson to determine if the observed distribution of the values or individuals in phenotypic categories occurs as predicted or it occurs by chance. This is a very common test employed in statistics to measure the distribution of phenotypic characters in genetic research.

Explanation of Solution

The p-value stands for probability value. Generally, the p-value which is less than 0.05 is an indication that the observations do not match the expected numbers in each phenotypic category. This implies that the ratios should be re-evaluated. Thus, it is acceptable to take this point as a standard limit in identifying whether a deviation needs to be considered as a significant one or not...

Summary Introduction

To determine: The effect of the p-values on the reliability of the chi-square test.

Introduction: The p-value of 0.05 is acceptable as it indicates the range of standard deviation that can be neglected while comparing the observed value and the experimentally obtained value. The value lower than this is against the null hypothesis and higher values indicate that the results are insignificant.

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