Why do non-Mendelian patterns occur? (When to

Why do non-Mendelian patterns occur? (When to
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Why do non-Mendelian patterns occur? (When to - slide 1 of 13 Why do non-Mendelian patterns occur? (When to - slide 2 of 13 Why do non-Mendelian patterns occur? (When to - slide 3 of 13 Why do non-Mendelian patterns occur? (When to - slide 4 of 13 Why do non-Mendelian patterns occur? (When to - slide 5 of 13 Why do non-Mendelian patterns occur? (When to - slide 6 of 13 Why do non-Mendelian patterns occur? (When to - slide 7 of 13 Why do non-Mendelian patterns occur? (When to - slide 8 of 13 Why do non-Mendelian patterns occur? (When to - slide 9 of 13 Why do non-Mendelian patterns occur? (When to - slide 10 of 13 Why do non-Mendelian patterns occur? (When to - slide 11 of 13 Why do non-Mendelian patterns occur? (When to - slide 12 of 13 Why do non-Mendelian patterns occur? (When to - slide 13 of 13
Why do non-Mendelian patterns occur? (When to decide whether it is Mendelian or non-Mendelian) Determine the most probable genetic crosses based on the following data: Two lines of true-breeding plants, one with yellow petals and one

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01
Why do non-Mendelian patterns occur? (When to decide whether it is “Mendelian” or “non-Mendelian”)<br>
02
Determine the most probable genetic crosses based on the following data:

Two lines of true-breeding plants, one with yellow petals and one with red, are crossed. The F1 are all red. When the F1 are self crossed to give the F2 generation, we find the following result:

Red 259
Yellow 61
Total 320<br>
03
Use X2 analysis to determine whether the data fit the proposed hypothesis (H0: expected Mendelian transmission) Two lines of true-breeding plants, one with yellow petals and one with red, are crossed. The F1 are all red. When the F1 are self-crossed to give the F2 generation, we find the following result:

Red 259
Yellow 61
Total 320

H0 Hypothesis:
Df= p=

Conclusion: If H0 = true, deviation between the observed and expected = random sampling error
The smaller the sample size, the larger the random sampling error
Is the difference between the expected and observed due to mere sampling error, or is it a real difference?<br>