Which quadratic regression equation best fits the data set?
1 answer:
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domain and range are both all real numbers :)
<u>Question Completion</u>
(a)What is your null hypothesis?
(b)What is your expected phenotypic ratio based on Mendelian inheritance?
(c)Calculate the expected number of flowers you should have gotten based on the Mendelian inheritance. Then calculate a chi-square value, degrees of freedom, and a p-value.
- Chi-square statistic: _____
- Degrees of freedom (# phenotypes -1):
- P-value:
(d)Interpret your results. Do you reject it or fail to reject your null hypothesis (please restate the null)?
Answer:
(a)
(b)9:3:3:1
(c)
- Chi-square statistic: 3.8914
- Degrees of freedom (# phenotypes -1) =3
- P-value: 0.2734
(d)We fail to reject the null hypothesis.
Step-by-step explanation:
In the flowering plant, white flowers (B) are dominant over red flowers (b), and short plants (E) are dominant over tall flowers (e). An F2 generation was created by crossing two F1 individuals (each BbEe).
(a)The null hypothesis is:
(b)The gametes are BE, Be, bE and be.
The offsprings are presented in the table below:
The expected phenotypic ratio based on Mendelian inheritance
BE:Be:bE:be=9:3:3:1
(c)
Therefore:
- Chi-square statistic: 3.8914
- Degrees of freedom (# phenotypes -1): 4-1 =3
- P-value: 0.2734
(d) Our null hypothesis is:
Since p>0.05, the given data fit the predicted phenotypic ratio.
We, therefore, fail to reject the null hypothesis.
The difference in the observed and expected are sosmall that they can be attributed to random chance.