4. In Wisconsin Fast plants, purple stems (P) are dominant to green stems (p). Plants can also be tall (T) or dwarf (t). Two tall plants with purple stems are crossed with results shown in the chart. Do the results support a hypothesis that both plants were heterozygous? Show a chi square analysis to support your position. (Observed - Expected) Expected Observed Expected

Human Heredity: Principles and Issues (MindTap Course List)
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Chapter3: Transmission Of Genes From Generation To Generation
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Problem 22QP: More Crosses with Pea Plants: The Principle of Independent Assortment In pea plants, long stems are...
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Question 4 please
ANALYSIS:
4. In Wisconsin Fast plants, purple stems (P) are dominant to green stems (p). Plants can also be tall (T) or
dwarf (t). Two tall plants with purple stems are crossed with results shown in the chart. Do the results
support a hypothesis that both plants were heterozygous? Show a chi square analysis to support your
position.
(Observed - Expected)?
Expected
Observed
Expected
Purple, tall
48
Purple, dwarf
16
Green, tall
12
Green, dwarf
Summed X = 1.011 (good fit)
ANALYSIS:
x* critical values
probability
50
.025
5.024
df
995
90
.10
05
1
.000
.016
455
2.706 3.841
1.386 4.605 5.991 | 7.378
e
.211
.584
207 1.064 3.357 | 7.779 | 9.488 11.143
.010
.072
2.366 6.251
7.815 9.348
4
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Transcribed Image Text:ANALYSIS: 4. In Wisconsin Fast plants, purple stems (P) are dominant to green stems (p). Plants can also be tall (T) or dwarf (t). Two tall plants with purple stems are crossed with results shown in the chart. Do the results support a hypothesis that both plants were heterozygous? Show a chi square analysis to support your position. (Observed - Expected)? Expected Observed Expected Purple, tall 48 Purple, dwarf 16 Green, tall 12 Green, dwarf Summed X = 1.011 (good fit) ANALYSIS: x* critical values probability 50 .025 5.024 df 995 90 .10 05 1 .000 .016 455 2.706 3.841 1.386 4.605 5.991 | 7.378 e .211 .584 207 1.064 3.357 | 7.779 | 9.488 11.143 .010 .072 2.366 6.251 7.815 9.348 4 www hinlonurnrner com
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Chi square analysis is a statistical test to measure differences between observed and expected data.

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