Mendelian Genetics Experiments are conducted with hybrids of two types of peas. If the offspring follow Mendel’s theory of inheritance, the seeds that are produced are yellow smooth, green smooth, yellow wrinkled, and green wrinkled, and they should occur in the ratio of 9:3:3:1, respectively. An experiment is designed to test Mendel’s theory, with the result that the offspring seeds consist of 307 that are yellow smooth, 77 that are green smooth, 98 that are yellow wrinkled, and 18 that are green wrinkled. Use a 0.05 significance level to test the claim that the results contradict Mendel’s theory.

Short Answer

Expert verified

There is enough evidence to conclude that theobserved frequencies of the 4 types of seeds do not occur in the expected ratio as proposed by Mendel.

Thus, results contradict Mendel’s theory.

Step by step solution

01

Given information

The frequency of 4 different kinds of seeds are recorded. The expected frequencies should occur in the ratio 9:3:3:1.

02

Check the requirements

Assume that each experimental unit is selected randomly.

The test meets the requirements if the expected values are larger than 5.

Let O denote the observed frequencies of people of different races.

The following values are obtained:

\(\begin{aligned}{l}{O_1} = 307\\{O_2} = 77\\{O_3} = 98\\{O_4} = 18\end{aligned}\)

The sum of all observed frequencies is computed below:

\(\begin{aligned}{c}n = 307 + 77 + .... + 18\\ = 500\end{aligned}\)

Let E denote the expected frequencies.

Let the yellow smooth seed type be denoted by 1, green smooth seed type be denoted by 2, yellow wrinkled seed type be denoted by 3 and green wrinkled seed type be denoted by 4.

The expected frequencies will occur in the given ratio of 9:3:3:1.

Therefore, the expected frequencies are computed below:

\(\begin{aligned}{c}{E_1} = \frac{9}{{9 + 3 + 3 + 1}}\left( {500} \right)\\ = \frac{9}{{16}}\left( {500} \right)\\ = 281.25\end{aligned}\)

\(\begin{aligned}{c}{E_2} = \frac{3}{{9 + 3 + 3 + 1}}\left( {500} \right)\\ = \frac{3}{{16}}\left( {500} \right)\\ = 93.75\end{aligned}\)

\(\begin{aligned}{c}{E_3} = \frac{3}{{9 + 3 + 3 + 1}}\left( {500} \right)\\ = \frac{3}{{16}}\left( {500} \right)\\ = 93.75\end{aligned}\)

\[\begin{aligned}{c}{E_4} = \frac{1}{{9 + 3 + 3 + 1}}\left( {500} \right)\\ = \frac{1}{{16}}\left( {500} \right)\\ = 31.25\end{aligned}\]

Thus, the requirements are satisfied.

03

State the hypotheses

The hypotheses are,

\({H_0}:\)The observed frequencies of the 4 types of seeds are in the expected ratio as proposed by Mendel.

\({H_a}:\)The observed frequencies of the 4 types of seeds do not occur in the expected ratio as proposed by Mendel.

04

Compute the test statistic

The table below shows the necessary calculations:

Outcome

O

E

\(\left( {O - E} \right)\)

\({\left( {O - E} \right)^2}\)

\(\frac{{{{\left( {O - E} \right)}^2}}}{E}\)

Yellow Smooth

307

281.25

25.75

663.0625

2.357556

Green Smooth

77

93.75

-16.75

280.5625

2.992667

Yellow Wrinkled

98

93.75

4.25

18.0625

0.192667

Green Wrinkled

18

31.25

-13.25

175.5625

5.618

The value of the test statistic is equal to:

\(\begin{aligned}{c}{\chi ^2} = \sum {\frac{{{{\left( {O - E} \right)}^2}}}{E}} \\ = 2.357556 + 2.992667 + ...... + 5.618\\ = 11.161\end{aligned}\)

Thus,\({\chi ^2} = 11.161\).

Let k be the number of seed types, which is 4.

The degrees of freedom for\({\chi ^2}\)is computed below:

\(\begin{aligned}{c}df = k - 1\\ = 4 - 1\\ = 3\end{aligned}\)

The critical value of\({\chi ^2}\)at

\(\alpha = 0.05\)with 3 degrees of freedom is equal to 7.815.

The p-value is equal to 0.011.

Since the test statistic value is greater than the critical value and the p-value is less than 0.05, the null hypothesis is rejected.

05

State the conclusion

There is enough evidence to conclude that theobserved frequencies of the 4 types of seeds do not occur in the expected ratio as proposed by Mendel.

Thus, results contradict Mendel’s theory at 0.05 level of significance.

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Most popular questions from this chapter

A study of seat belt users andnonusers yielded the randomly selected sample data summarized in the given table (based on data from “What Kinds of People Do Not Use Seat Belts?” by Helsing and Comstock, American Journal of Public Health,Vol. 67, No. 11). Test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke more are lessconcerned about their health and safety and are therefore less inclined to wear seat belts. Is this theory supported by the sample data?

Number of Cigarettes Smoked per Day

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1-14

15-34

35 and over

Wear Seat Belts

175

20

42

6

Don't Wear Seat Belts

149

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9

Using Yates’s Correction for Continuity The chi-square distribution is continuous, whereas the test statistic used in this section is discrete. Some statisticians use Yates’s correction for continuity in cells with an expected frequency of less than 10 or in all cells of a contingency table with two rows and two columns. With Yates’s correction, we replace

\(\sum \frac{{{{\left( {O - E} \right)}^2}}}{E}\)with \(\sum \frac{{{{\left( {\left| {O - E} \right| - 0.5} \right)}^2}}}{E}\)

Given the contingency table in Exercise 9 “Four Quarters the Same as $1?” find the value of the test \({\chi ^2}\)statistic using Yates’s correction in all cells. What effect does Yates’s correction have?

In a clinical trial of the effectiveness of echinacea for preventing

colds, the results in the table below were obtained (based on data from “An Evaluation of Echinacea Angustifoliain Experimental Rhinovirus Infections,” by Turner et al., NewEngland Journal of Medicine,Vol. 353, No. 4). Use a 0.05 significance level to test the claim that getting a cold is independent of the treatment group. What do the results suggest about the

effectiveness of echinacea as a prevention against colds?

Treatment Group


Placebo

Echinacea:

20% Extract

Echinacea:

60% Extract

Got a Cold

88

48

42

Did Not Get a Cold

15

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10

Questions 6–10 refer to the sample data in the following table, which describes the fate of the passengers and crew aboard the Titanic when it sank on April 15, 1912. Assume that the data are a sample from a large population and we want to use a 0.05 significance level to test the claim that surviving is independent of whether the person is a man, woman, boy, or girl.


Men

Women

Boys

Girls

Survived

332

318

29

27

Died

1360

104

35

18

Is the hypothesis test left-tailed, right-tailed, or two-tailed?

Exercises 1–5 refer to the sample data in the following table, which summarizes the last digits of the heights (cm) of 300 randomly selected subjects (from Data Set 1 “Body Data” in Appendix B). Assume that we want to use a 0.05 significance level to test the claim that the data are from a population having the property that the last digits are all equally likely.

Last Digit

0

1

2

3

4

5

6

7

8

9

Frequency

30

35

24

25

35

36

37

27

27

24

Is the hypothesis test left-tailed, right-tailed, or two-tailed?

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