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Mendelian Genetics Experiments are conducted with hybrids of two types of peas. If the offspring follow Mendel鈥檚 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鈥檚 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鈥檚 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鈥檚 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鈥檚 theory at 0.05 level of significance.

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Most popular questions from this chapter

In a study of the 鈥渄enomination effect,鈥 43 college students

were each given one dollar in the form of four quarters, while 46 other college students were each given one dollar in the form of a dollar bill. All of the students were then given two choices: (1) keep the money; (2) spend the money on gum. The results are given in the accompanying table (based on 鈥淭he Denomination Effect,鈥 by PriyaRaghubir and Joydeep Srivastava, Journal of Consumer Research,Vol. 36.) Use a 0.05 significance level to test the claim that whether students purchased gum or kept the money is independent of whether they were given four quarters or a \(1 bill. Is there a 鈥渄enomination effect鈥?

Purchased Gum

Kept the Money

Students Given Four Quarters

27

16

Students Given a \)1 Bill

12

34

In his book Outliers,author Malcolm Gladwell argues that more

American-born baseball players have birth dates in the months immediately following July 31 because that was the age cutoff date for nonschool baseball leagues. The table below lists months of births for a sample of American-born baseball players and foreign-born baseball players. Using a 0.05 significance level, is there sufficient evidence to warrant rejection of the claim that months of births of baseball players are independent of whether they are born in America? Do the data appear to support Gladwell鈥檚 claim?


Born in America

Foreign Born

Jan.

387

101

Feb.

329

82

March

366

85

April

344

82

May

336

94

June

313

83

July

313

59

Aug.

503

91

Sept.

421

70

Oct.

434

100

Nov.

398

103

Dec.

371

82

Using Yates鈥檚 Correction for Continuity The chi-square distribution is continuous, whereas the test statistic used in this section is discrete. Some statisticians use Yates鈥檚 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鈥檚 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 鈥淔our Quarters the Same as $1?鈥 find the value of the test \({\chi ^2}\)statistic using Yates鈥檚 correction in all cells. What effect does Yates鈥檚 correction have?

American Idol Contestants on the TV show American Idol competed to win a singing contest. At one point, the website WhatNotToSing.com listed the actual numbers of eliminations for different orders of singing, and the expected number of eliminations was also listed. The results are in the table below. Use a 0.05 significance level to test the claim that the actual eliminations agree with the expected numbers. Does there appear to be support for the claim that the leadoff singers appear to be at a disadvantage?

Singing Order

1

2

3

4

5

6

7鈥12

Actual Eliminations

20

12

9

8

6

5

9

Expected Eliminations

12.9

12.9

9.9

7.9

6.4

5.5

13.5

Exercises 1鈥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 鈥淏ody Data鈥 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

When testing the claim in Exercise 1, what are the observed and expected frequencies for the last digit of 7?

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