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Gregor Mendel (1822鈥1884), an Austrian monk, is considered the father of genetics. Mendel studied the inheritance of various traits in pea plants. One such trait is whether the pea is smooth or wrinkled. Mendel predicted a ratio of 3smooth peas for every 1 wrinkled pea. In one experiment, he observed 423 smooth and133 wrinkled peas. The data were produced in such a way that the Random and Independent conditions are met. Carry out a chi-square goodness-of-fit test based on Mendel鈥檚 prediction. What do you conclude?

Short Answer

Expert verified

There is insufficient evidence to reject the Mendel's belief.

Step by step solution

01

Given information

Given the question that, Mendel predicted a ratio of three smooth peas to one wrinkled pea. In one experiment, he discovered 423 smooth and 133 wrinkled peas. The data were generated in such a way that the requirements for Random and Independent were met.

A chi-square goodness-of-fit test based on Mendel's prediction is required.

02

Explanation

The test statistic's formula will be

2=(O-E)2E

These are the proportions:

localid="1650620228150" p2=1-0.75=0.25

The following are the null and alternative hypotheses:

H0:p1=p2

Ha: At least one of piis different

The test statistic is calculated as follows:

Observed valueExpected value(O-E)(O-E)2
(O-E)2E
423
417
6
36
0.0863
133
139
-6
36
0.259




(O-E)2E=0.3453
03

Test statistic. 

The test statistic is:

2=(O-E)2E=0.3453

The degree of freedom is calculated as:

Degreeoffreedom=Numberofcategories-1=2-1=1

The p-value using chi-square table at 1 degree of freedom is 0.3453.

The significance level has been exceeded by the P-value. The null hypothesis remains viable. As a result, there is little evidence to disprove Mendel's hypothesis.

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