Chi Square Analysis of Phenotype Problem

In summary, the expected value for the recessive phenotype of the cross Long versus Short is 787.36 for Long and 276.64 for Short. The Chi Square Sum for the cross is 6.32E-4, but it is important to double check your calculations to ensure accuracy.
  • #1
sonyab523
12
0
Parental Pheotypes

Long x ShortF1

All LongF2 Phenotypes

787 long, 277 short1. What is the expected value for the recessive phentotype of the cross Long versus Short

787+277= 1064

I did 787/1064= .739 Rounded up to .74 For Long
277/1064= .26 for Short

.74x1064= 787.36 Is the Expected value for Long. But this answer is somehow wrong in the system. I'm just trying to see if the system has an error because I don't see how it can be wrong. 2. What is the Chi Square Sum (rounding to 3 significant figures) for Long versus Short cross.

Long- (787-787.36)^2/787.36= 1.64E-4
Short- (277-276.64)^2/276.64= 4.68E-4

Add those number and I get 6.32E-4 which seems very wrong.
 
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  • #2


It is possible that the system may have an error, but it is also possible that there is an error in your calculations. It is important to double check your work and make sure all calculations are accurate. Additionally, make sure you are using the correct formula for calculating chi square and that you are rounding to the correct number of significant figures. If you are still getting an unexpected result, it may be helpful to consult with a colleague or supervisor for assistance.
 

1. What is Chi Square Analysis of Phenotype Problem?

Chi Square Analysis of Phenotype Problem is a statistical method used to determine if there is a significant difference between observed and expected frequencies of categorical data. It is commonly used in genetics and biology to analyze the distribution of traits among different groups.

2. How is Chi Square Analysis of Phenotype Problem calculated?

Chi Square Analysis of Phenotype Problem is calculated by comparing the observed frequencies of a trait with the expected frequencies, which are based on a specific hypothesis. The formula for calculating Chi Square is (observed frequency - expected frequency)^2 / expected frequency. This calculation is repeated for each category and then all of the values are summed to get the Chi Square value.

3. When is Chi Square Analysis of Phenotype Problem used?

Chi Square Analysis of Phenotype Problem is used when analyzing categorical data, such as the distribution of traits among different groups. It is commonly used in genetics and biology research to determine if a certain trait is influenced by genetics or by external factors.

4. What are the assumptions of Chi Square Analysis of Phenotype Problem?

The main assumptions of Chi Square Analysis of Phenotype Problem include having categorical data, having independent observations, and having a large enough sample size. It is also important to have a random and representative sample to ensure the results are accurate.

5. How do I interpret the results of Chi Square Analysis of Phenotype Problem?

The results of Chi Square Analysis of Phenotype Problem are typically presented as a Chi Square value and a p-value. The Chi Square value is compared to a critical value to determine if there is a significant difference between the observed and expected frequencies. The p-value indicates the probability of obtaining the observed results by chance. A p-value less than 0.05 is considered statistically significant, meaning there is a low probability that the results are due to chance.

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