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You say tomato The paper 鈥淟inkage Studies of the Tomato鈥 (Transactions of the Canadian Institute, 1931) reported the following data on phenotypes resulting from crossing tall cut-leaf tomatoes with dwarf potato-leaf tomatoes. We wish to investigate whether the following frequencies are consistent with genetic laws, which state that the phenotypes should occur in the ratio 9:3:3:1

Assume that the conditions for inference are met. Carry out a test at the =0.05 significance level of the proposed genetic model.

Short Answer

Expert verified

P-value is greater than the significance level which means that fail to reject H0

Step by step solution

01

Given information

Significance level: 5%=0.05

Ratio: R1:R2:W1:W2=9:3:3:1

n=4

02

Concept

Null hypothesis: H0

When the value of P is less than or equal to the significance level, the null hypothesis is rejected.

03

Calculation

The null hypothesis: H0

The phenotype occur in a ratio of 9:3:3:1

Ptc=916,Ptp=916,Pdc=316,Pdp=116

Alternative hypothesis: H1

One or more of the offspring proportions are wrong.

Now,

Take the sum: S=9+3+3+1=16

Create a table with the observed and predicted values:

The expected value is calculated as:

E1=TR1R=1611916=906.19E2=TR2R=1611316=302.06

E3=TW1R=1611316=302.06E4=TW2R=1611116=100.69

Now, use the test 鈭抯tatistics:

x2=i=14(OiEi)2Eix2=(926906.19)2906.19+(288302.06)2302.06+(293302.06)2302.06+(104100.69)2100.69x2=1.468

Degree of freedom:

df=n1=41=3

For x2=1.468and df=3the P-value is 0.6900

So, the null hypothesis is not rejected because the P-value is bigger than the significance level, implying that there is no difference in the distribution of generic features.

P>:0.6900>0.05fail to reject H0

As a result, there is insufficient evidence to demonstrate that the proposed generic model of tomato plant does not follow the supplied standard ratio.

Therefore,P>:0.6900>0.05

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