In peas, gray seed color is dominant to white. True breeding peas with gray seeds were crossed with true breeding peas with white seeds.  In the F1 generation all progey had gray seed color.  In the F2 generation the following progeny were observed: 320 with gray seeds and 80 with white seeds.  Use a chi-square test to determine if these numbers fit the expected Mendelian ratio for this cross.  What is the Chi-square value, p-value, and correct interpretation (select in this order from the drop-down menu below): Question 1: A) 5.33 B) 3.75 C) 4.0 D) 1.33 E) 0.75 F) > 10 G) 0.266 Question 2: A) > 0.1 B) 0.1 - 0.05 C) < 0.001 D) < 0.05 Question 3: A) There is no reason to reject the hypothesis; these data appear to fit the expected Mendelian ratio B) These data do not fit the hypothesis, reject the hypothesis that these data fit the expected Mendelian ratio

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

In peas, gray seed color is dominant to white. True breeding peas with gray seeds were crossed with true breeding peas with white seeds.  In the F1 generation all progey had gray seed color.  In the F2 generation the following progeny were observed: 320 with gray seeds and 80 with white seeds.  Use a chi-square test to determine if these numbers fit the expected Mendelian ratio for this cross.  What is the Chi-square value, p-value, and correct interpretation (select in this order from the drop-down menu below):

Question 1:
A) 5.33
B) 3.75
C) 4.0
D) 1.33
E) 0.75
F) > 10
G) 0.266

Question 2:
A) > 0.1
B) 0.1 - 0.05
C) < 0.001
D) < 0.05

Question 3:
A) There is no reason to reject the hypothesis; these data appear to fit the expected Mendelian ratio
B) These data do not fit the hypothesis, reject the hypothesis that these data fit the expected Mendelian ratio

Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 2 images

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman