In rabbits, albinism is an autosomal recessive condition caused by the absence of the pigment melanin from skin and fur. Pigmentation is a dominant wild-type trait. Three pure-breeding strains of albino rabbits, identified as strains 1, 2, and 3, are crossed to one another. In the table below, F₁ and F₂ progeny are shown for each cross. Based on the available data, propose a genetic explanation for the results. As part of your answer, create genotypes for each albino strain using clearly defined symbols of your own choosing. Use your symbols to diagram each cross, giving the F₁ and F₂ genotypes. <>
Table of contents
- 1. Introduction to Genetics51m
- 2. Mendel's Laws of Inheritance3h 37m
- 3. Extensions to Mendelian Inheritance2h 41m
- 4. Genetic Mapping and Linkage2h 28m
- 5. Genetics of Bacteria and Viruses1h 21m
- 6. Chromosomal Variation1h 48m
- 7. DNA and Chromosome Structure56m
- 8. DNA Replication1h 10m
- 9. Mitosis and Meiosis1h 34m
- 10. Transcription1h 0m
- 11. Translation58m
- 12. Gene Regulation in Prokaryotes1h 19m
- 13. Gene Regulation in Eukaryotes44m
- 14. Genetic Control of Development44m
- 15. Genomes and Genomics1h 50m
- 16. Transposable Elements47m
- 17. Mutation, Repair, and Recombination1h 6m
- 18. Molecular Genetic Tools19m
- 19. Cancer Genetics29m
- 20. Quantitative Genetics1h 26m
- 21. Population Genetics50m
- 22. Evolutionary Genetics29m
3. Extensions to Mendelian Inheritance
Chi Square Analysis
Problem 7b
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?

1
Determine the null hypothesis: The null hypothesis (H₀) assumes that the observed data fits the expected distribution, meaning any differences are due to random chance.
Identify the degrees of freedom (df): The problem states that there are 4 degrees of freedom. Degrees of freedom are typically calculated as the number of categories minus 1.
Locate the critical value: Use a chi-square distribution table to find the critical value for 4 degrees of freedom at a chosen significance level (commonly α = 0.05).
Compare the chi-square value to the critical value: If the chi-square value (7.83) is greater than the critical value from the table, the null hypothesis is rejected. Otherwise, it is not rejected.
Conclude the result: Based on the comparison, determine whether the result is sufficient to reject the chance hypothesis. If the null hypothesis is rejected, it suggests that the observed data significantly deviates from the expected distribution.

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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 under the null hypothesis, which posits no association. A higher chi-square value indicates a greater discrepancy between observed and expected values.
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Chi Square Analysis
Degrees of Freedom
Degrees of freedom (df) in a chi-square test refer to the number of independent values that can vary in the analysis. It is calculated as the number of categories minus one for goodness-of-fit tests or as the product of (rows - 1) and (columns - 1) for contingency tables. In this case, with 4 degrees of freedom, it indicates the complexity of the data being analyzed.
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Step 2
Critical Value
The critical value in a chi-square test is the threshold that the chi-square statistic must exceed to reject the null hypothesis. This value is determined based on the chosen significance level (commonly 0.05) and the degrees of freedom. For 4 degrees of freedom, the critical value is approximately 9.488, meaning a chi-square value of 7.83 does not provide sufficient evidence to reject the chance hypothesis.
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Step 3
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