According to a genetics model, plants of a particular species occur in the categories A, B, C, and D, in the ratio 9:3:3:1. The categories of different plants are mutually independent. At a lab that grows these plants, 218 are in Category A, 69 in Category B, 84 in Category C, and 29 in Category D.
Does the model look good?
Problem 1
The null hypothesis is:
The model is good.
The model isn't good.
Too many of the plants are in Category C.
The proportion of plants in Category A is expected to be 9/16; the difference in the sample is due to chance.
Problem 2
The alternative hypothesis is:
The model is good.
The model isn't good.
Too many of the plants are in Category C.
The proportion of plants in Category A is expected to be 9/16; the difference in the sample is due to chance.
Problem 3
Under the null, the expected number of plants in Category D is ______.
Problem 4
The chi-square statistic is closest to
1
1.5
2
2.5
3
3.5
4
4.5
Problem 5
Degrees of freedom = _______.
Problem 6
Based on this test, does the model look good?
Yes No
Problem 1
The null hypothesis is:
The proportion of plants in Category A is expected to be 9/16; the difference in the sample is due to chance.
Problem 2
The alternative hypothesis is:
The model is good.
Problem 4
The chi-square statistic is closest to
2.5
Problem 5
Degrees of freedom = 3.
Problem 6
Based on this test, does the model look good?
Yes
Problem 3?
Exercise set 5 answers:
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what's the answer?
Under the null, the expected number of plants in Category D is ______.
prob 1 - the model is good
what's the answer?
Under the null, the expected number of plants in Category D is ______.
Problem 5
Degrees of freedom = _______.