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

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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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
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
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
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