Okay. So which of the following statements is true when we accept a null hypothesis? We accepted the null hypothesis in the previous question, so what does that mean for our experiment? It means that the observed and the expected values are different? It could mean that we are 95% confident that our observed and expected values are different. We are 95% confident that our observed and expected values are the same. And we are 50% confident that our observed and expected values are the same. So the first thing we know is that when we accept a null hypothesis, we're saying that our observed and our expected values are essentially the same. So automatically, we can go ahead and mark out a and b, which said that this showed it was different. So our choices now are c and d, and the difference between these two is whether we're 95% confident or 50% confident. So which one do you think it is? Okay. The real answer here is 95% confident. We're more than that, so we accepted the null hypothesis. So when we, so what we did is we set our threshold. We said that because we set the threshold at 5%, we are 95% confident, and that's just taken from 100 minus 5 equals 95. Right? So we're not 100% confident because we gave ourselves this, like, 5% range of error to accept the null hypothesis. And so we are 95% confident that the observed and expected values are the same. So in this problem, remember we were looking at red and white flowers in the F2 offspring and we got a certain but I don't remember exactly what it is. It's like 894, 294, something around there. Essentially, we were testing and we were saying, are these close enough to 300 or 900/3100 to say that this problem is, or this trait is a 3 to 1 ratio and, therefore, is Mendelian. Because we didn't know. Right? We just did this experiment. We had no idea we're looking at these red and white flowers. We got this number of offspring and we said, okay. Well, is this a 3 to 1 ratio? Is this close to the Mendelian ratio we would have expected? And we went through all these steps and finally we figured out that, yes, it is because we're 95% confident that the values that we observed, the number of offspring for red and white flowers that we actually got, were close enough to the expected values of 900/3100 to be a 3 to 1 ratio, therefore be Mendelian, so that they are the same. So c is the answer here. So make sure you understand. I realize that this problem is a lot. There's a lot of different steps, so make sure you understand all of these steps because I guarantee you, you will have to solve a Chi-square analysis problem on a test at some point in your genetics career. So make sure you understand what's going on in each one of these steps. So with that, let's now move on.
- 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
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Chi Square Analysis practice set
