Textbook Question
Consider the cross AaBbCC × AABbCc.
Use the forked-line method to predict the expected ratio of offspring phenotypes.
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Ch. 2 - Transmission Genetics
Sanders3rd EditionGenetic Analysis: An Integrated ApproachISBN: 9780135564172
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Table of contents
- Ch. 1 - The Molecular Basis of Heredity, Variation, and Evolution64
- Ch. 2 - Transmission Genetics144
- Ch. 3 - Cell Division and Chromosome Heredity81
- Ch. 4 - Gene Interaction87
- Ch. 5 - Genetic Linkage and Mapping in Eukaryotes103
- Ch. 6 - Genetic Analysis and Mapping in Bacteria and Bacteriophages73
- Ch. 7 - DNA Structure and Replication71
- Ch. 8 - Molecular Biology of Transcription and RNA Processing79
- Ch. 9 - The Molecular Biology of Translation110
- Ch. 10 - Eukaryotic Chromosome Abnormalities and Molecular Organization100
- Ch. 11 - Gene Mutation, DNA Repair, and Homologous Recombination86
- Ch. 12 - Regulation of Gene Expression in Bacteria and Bacteriophage90
- Ch. 13 - Regulation of Gene Expression in Eukaryotes38
- Ch. 14 - Analysis of Gene Function via Forward Genetics and Reverse Genetics72
- Ch. 15 - Recombinant DNA Technology and Its Applications69
- Ch. 16 - Genomics: Genetics from a Whole-Genome Perspective49
- Ch. 17 - Organelle Inheritance and the Evolution of Organelle Genomes27
- Ch. 18 - Developmental Genetics43
- Ch. 19 - Genetic Analysis of Quantitative Traits66
- Ch. 20 - Population Genetics and Evolution at the Population, Species, and Molecular Levels105
Sanders3rd EditionGenetic Analysis: An Integrated ApproachISBN: 9780135564172Not the one you use?Change textbook
Chapter 2, Problem 7c
If a chi-square test produces a chi-square value of 7.83 with 4 degrees of freedom,
Above what chi-square value would you reject the chance hypothesis for an experiment with 7 degrees of freedom?
Verified step by step guidance1
Understand the problem: The question is asking for the chi-square value above which you would reject the null hypothesis (chance hypothesis) for an experiment with 7 degrees of freedom. This involves using a chi-square distribution table or formula to find the critical value for a given significance level (commonly 0.05 unless otherwise specified).
Identify the degrees of freedom: The problem specifies 7 degrees of freedom for the experiment. This is a key parameter for determining the critical chi-square value.
Determine the significance level: If not explicitly stated, assume a common significance level of 0.05 (5%). This is the probability threshold for rejecting the null hypothesis.
Use a chi-square distribution table or statistical software: Locate the critical chi-square value corresponding to 7 degrees of freedom and a significance level of 0.05. In a chi-square table, find the row for 7 degrees of freedom and the column for 0.05.
Interpret the result: The critical chi-square value you find is the threshold. If the chi-square value from your experiment exceeds this critical value, you would reject the null hypothesis. Otherwise, you fail to reject it.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Chi-Square Test
The chi-square test is a statistical method used to determine if there is a significant association between categorical variables. It compares the observed frequencies in each category to the expected frequencies, which are calculated under the null hypothesis. A higher chi-square value indicates a greater discrepancy between observed and expected values, suggesting that the null hypothesis may be rejected.
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Chi Square Analysis
Degrees of Freedom
Degrees of freedom (df) refer to the number of independent values or quantities that can vary in an analysis without violating any constraints. In the context of the chi-square test, degrees of freedom are calculated as the number of categories minus one. They are crucial for determining the critical value of chi-square from statistical tables, which helps in deciding whether to reject the null hypothesis.
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Critical Value
The critical value in a chi-square test is the threshold that the calculated chi-square statistic must exceed to reject the null hypothesis. This value is determined based on the desired significance level (commonly 0.05) and the degrees of freedom. For 7 degrees of freedom, the critical value can be found in chi-square distribution tables, and it indicates the point beyond which the observed data is considered statistically significant.
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02:Step 3
Related Practice
Textbook Question
If a chi-square test produces a chi-square value of 7.83 with 4 degrees of freedom,
In what interval range does the P value fall?
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Textbook Question
If a chi-square test produces a chi-square value of 7.83 with 4 degrees of freedom,
Is the result sufficient to reject the chance hypothesis?
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Textbook Question
Determine whether the statements below are true or false. If a statement is false, provide the correct information or revise the statement to make it correct.
If a dihybrid cross is performed, the expected genotypic ratio is 9:3:3:1.
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Textbook Question
Determine whether the statements below are true or false. If a statement is false, provide the correct information or revise the statement to make it correct.
A student uses the product rule to predict that the probability of flipping a coin twice and getting a head and then a tail is 1/4.
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Textbook Question
Determine whether the statements below are true or false. If a statement is false, provide the correct information or revise the statement to make it correct.
A test cross between a heterozygous parent and a homozygous recessive parent is expected to produce a 1:1 genotypic and phenotypic ratio.
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