Help with Chi-Squared Test: Probability Link to \chi^2 Value

  • Thread starter Thread starter leah3000
  • Start date Start date
  • Tags Tags
    Chi Test
Click For Summary
SUMMARY

The discussion centers on the application of the Chi-Squared test in a genetic cross involving pea plants. The user calculated a Chi-Squared value of 0.28 with 3 degrees of freedom and sought clarification on linking this value to the probability from the distribution table. It was confirmed that a Chi-Squared value of 0.28 corresponds to a probability greater than 0.95, indicating no significant deviation from the expected ratios. The importance of stating a hypothesis when performing the Chi-Squared test was also emphasized.

PREREQUISITES
  • Understanding of Chi-Squared test methodology
  • Familiarity with genetic crosses and Mendelian inheritance
  • Ability to interpret Chi-Squared distribution tables
  • Knowledge of hypothesis testing principles
NEXT STEPS
  • Study the application of Chi-Squared tests in genetics
  • Learn how to formulate and state hypotheses for statistical tests
  • Explore the use of Chi-Squared distribution tables in depth
  • Investigate common errors in statistical hypothesis testing
USEFUL FOR

Students in genetics, biostatisticians, and researchers conducting hypothesis testing in biological studies will benefit from this discussion.

leah3000
Messages
41
Reaction score
0
Chi- squared test--please help

Posted this on 12.04.10 but haven't gotten a response. Is my data unclear? Can someone explain how to link the probability to the \chi^2 value please.

1. Homework Statement

In a cross between two types of pea plants, one heterozygous for the round yellow seed condition, and the other, pure breeding with wrinkled green seeds, the following offsprings were recorded;

Round yellow peas-- 108
Round green peas-- 102
Wrinkled yellow peas--105
Wrinkled green peas-- 101


2. Homework Equations

\chi ^2 = \Sigma{O-E)^2 / E}

The ratio of a heterozygous cross with a homozygous recessive

3. The Attempt at a Solution

I calculated the value of \chi ^2 to be 0.28. The degrees of freedom= no. of categories-1 = 3.

I'm a little bit confused on how to relate the calculated value of \chi^2 to the probability value in the distribution table.

I took the probability value as > 0.1 and got 6.25 according to the data in the table. I'm now assuming that it isn't a significant deviation as the value of \chi ^2 is much smaller than this (0.28).

Can someone please explain this if I'm on the wrong track. Thanks
 
Physics news on Phys.org
http://faculty.southwest.tn.edu/jiwilliams/probab2.gif

using the above table, first thing you select the row for your degrees of freedom. in your case, it is 3.

now this row tells us, if your chi square value is less than 0.35, then the probability of this particular event occurring is greater than 0.95. If the chi square value is between 0.35 and 0.58, the probability of this event occurring is between 0.90 and 0.95. And so on.

your chi square value is 0.28. therefore, the probability of your event occurring is 0.95 or greater.

now i haven't checked if you have correctly calculated the chi square value. and also, the chi square test is used to test a particular hypothesis. you should have stated your hypothesis.
 
Kushal said:
http://faculty.southwest.tn.edu/jiwilliams/probab2.gif

using the above table, first thing you select the row for your degrees of freedom. in your case, it is 3.

now this row tells us, if your chi square value is less than 0.35, then the probability of this particular event occurring is greater than 0.95. If the chi square value is between 0.35 and 0.58, the probability of this event occurring is between 0.90 and 0.95. And so on.

your chi square value is 0.28. therefore, the probability of your event occurring is 0.95 or greater.

now i haven't checked if you have correctly calculated the chi square value. and also, the chi square test is used to test a particular hypothesis. you should have stated your hypothesis.


Thank you so much! This was very helpful. I realize now i was actually doing the opposite. I was trying to figure out the probability without actually applying the chi square value to the table. HUGE ERROR:redface: I'm trying to learn from a text. Thanks for clearing things up!
 

Similar threads

  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 14 ·
Replies
14
Views
2K
  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 7 ·
Replies
7
Views
7K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 20 ·
Replies
20
Views
4K
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
9K