60 white flowers, purple seeds 2 white flowers, green seeds 300 Total Start with the hypothesis that blue flowers and purple seeds are dominant traits and that the two genes are assorting independently. Calculate a chi square va What does this value mean with regard to your hypothesis? If you decide to reject your hypothesis, can you think of a possible explanation to explain the resu Show all work for full credit. Chi square formula: X2 = E (observed - expected)² / expected
60 white flowers, purple seeds 2 white flowers, green seeds 300 Total Start with the hypothesis that blue flowers and purple seeds are dominant traits and that the two genes are assorting independently. Calculate a chi square va What does this value mean with regard to your hypothesis? If you decide to reject your hypothesis, can you think of a possible explanation to explain the resu Show all work for full credit. Chi square formula: X2 = E (observed - expected)² / expected
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![A cross was made between a plant that has blue flowers and purple seeds to a plant with white flowers and green seeds. The following data were obtained:
F1 generation: all offspring have blue flowers with purple seeds
Two members of the F1 are crossed to get the following F2 generation:
F2 generation:
178 blue flowers, purple seeds
60 blue flowers, green seeds
60 white flowers, purple seeds
2 white flowers, green seeds
300 Total
Start with the hypothesis that blue flowers and purple seeds are dominant traits and that the two genes are assorting independently. Calculate a chi square value.
What does this value mean with regard to your hypothesis? If you decide to reject your hypothesis, can you think of a possible explanation to explain the results?
Show all work for full credit.
Chi square formula: X2 = E (observed - expected)² / expected](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F70e3b6ea-a63d-4cb7-b92d-c968397580d0%2F00fbfe5a-6421-427e-8d84-ce090e9b1ca3%2Fgyf3kxs_processed.png&w=3840&q=75)
Transcribed Image Text:A cross was made between a plant that has blue flowers and purple seeds to a plant with white flowers and green seeds. The following data were obtained:
F1 generation: all offspring have blue flowers with purple seeds
Two members of the F1 are crossed to get the following F2 generation:
F2 generation:
178 blue flowers, purple seeds
60 blue flowers, green seeds
60 white flowers, purple seeds
2 white flowers, green seeds
300 Total
Start with the hypothesis that blue flowers and purple seeds are dominant traits and that the two genes are assorting independently. Calculate a chi square value.
What does this value mean with regard to your hypothesis? If you decide to reject your hypothesis, can you think of a possible explanation to explain the results?
Show all work for full credit.
Chi square formula: X2 = E (observed - expected)² / expected
![Table 3.7 Critical values of the x'distribution
df
0.995
0.975
0.9
0.5
0.05
0.1
0.025
0.01
0.005
0.000
0.000
0.016
0.455
2.706
3.841
5.024
6.635
7.879
2
0.010
0.051
0.211
1.386
4.605
5.991
7.378
9.210
10.597
3
0.072
0.216
0.584
2.366
6.251
7.815
9.348
11.345
12.838
4.
0.207
0.484
1.064
3.357
7.779
9.488
11.143
13.277
14.860
0.412
0.831
1.610
4.351
9.236
11.070
12.832
15.086
16.750
6.
0.676
1.237
2.204
5.348
10.645
12.592
14.449
16.812
18.548
0.989
1.690
2.833
6.346
12.017
14.067
16.013
18.475
20.278
8
1,344
2.180
3.490
7.344
13.362
15.507
17.535
20.090
21.955
9
1.735
2.700
4.168
8.343
14.684
16.919
19.023
21.666
23.589
10
2.156
3.247
4.865
9.342
15.987
18.307
20.483
23.209
25.188
11
2.603
3.816
5.578
10.341
17.275
19.675
21.920
24.725
26.757
12
3.074
4.404
6.304
11.340
18.549
21.026
23.337
26.217
28.300
13
3.565
5.009
7.042
12.340
19.812
22.362
24.736
27.688
29.819
14
4.075
5.629
7.790
13.339
21.064
23.685
26.119
29.141
31.319
15
4.601
6.262
8.547
14.339
22.307
24.996
27.488
30.578
32.801](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F70e3b6ea-a63d-4cb7-b92d-c968397580d0%2F00fbfe5a-6421-427e-8d84-ce090e9b1ca3%2F3zieae_processed.png&w=3840&q=75)
Transcribed Image Text:Table 3.7 Critical values of the x'distribution
df
0.995
0.975
0.9
0.5
0.05
0.1
0.025
0.01
0.005
0.000
0.000
0.016
0.455
2.706
3.841
5.024
6.635
7.879
2
0.010
0.051
0.211
1.386
4.605
5.991
7.378
9.210
10.597
3
0.072
0.216
0.584
2.366
6.251
7.815
9.348
11.345
12.838
4.
0.207
0.484
1.064
3.357
7.779
9.488
11.143
13.277
14.860
0.412
0.831
1.610
4.351
9.236
11.070
12.832
15.086
16.750
6.
0.676
1.237
2.204
5.348
10.645
12.592
14.449
16.812
18.548
0.989
1.690
2.833
6.346
12.017
14.067
16.013
18.475
20.278
8
1,344
2.180
3.490
7.344
13.362
15.507
17.535
20.090
21.955
9
1.735
2.700
4.168
8.343
14.684
16.919
19.023
21.666
23.589
10
2.156
3.247
4.865
9.342
15.987
18.307
20.483
23.209
25.188
11
2.603
3.816
5.578
10.341
17.275
19.675
21.920
24.725
26.757
12
3.074
4.404
6.304
11.340
18.549
21.026
23.337
26.217
28.300
13
3.565
5.009
7.042
12.340
19.812
22.362
24.736
27.688
29.819
14
4.075
5.629
7.790
13.339
21.064
23.685
26.119
29.141
31.319
15
4.601
6.262
8.547
14.339
22.307
24.996
27.488
30.578
32.801
Expert Solution
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