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
Overview of interacting Genes
1:43 minutes
Problem 6
Textbook Question
Textbook QuestionCalculate the mean, variance, and standard deviation for a sample of turkeys weighed at 8 weeks of age that have the following weights in ounces: 161, 172, 155, 173, 149, 177, 156, 174, 158, 162, 171, 181.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Mean
The mean is the average value of a set of numbers, calculated by summing all the values and dividing by the total number of values. In this case, to find the mean weight of the turkeys, you would add all the weights together and divide by the number of turkeys in the sample.
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Variance
Variance measures the spread of a set of values around the mean. It is calculated by taking the average of the squared differences between each value and the mean. A higher variance indicates that the weights of the turkeys are more spread out from the mean, while a lower variance suggests they are closer to the mean.
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Standard Deviation
Standard deviation is the square root of the variance and provides a measure of the average distance of each data point from the mean. It is a useful statistic for understanding the dispersion of weights in the sample of turkeys, with a smaller standard deviation indicating that the weights are closely clustered around the mean.
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