The following table shows age distribution and location of a random sample of 166 buffalo in a national park.
Age | Lamar District | Nez Perce District | Firehole District | Row Total |
Calf | 9 | 13 | 19 | 41 |
Yearling | 10 | 10 | 13 | 33 |
Adult | 36 | 26 | 30 | 92 |
Column Total | 55 | 49 | 62 | 166 |
Use a chi-square test to determine if age distribution and location are independent at the 0.05 level of significance.
a) State the null and alternate hypotheses.
H0: Age distribution and location are
independent.
H1: Age distribution and location are
independent.
H0: Age distribution and location are
independent.
H1: Age distribution and location are not
independent.
H0: Age distribution and location are not
independent.
H1: Age distribution and location are not
independent.
H0: Age distribution and location are not
independent.
H1: Age distribution and location are
independent.
(b) Find the value of the chi-square statistic for the sample.
(Round the expected frequencies to at least three decimal places.
Round the test statistic to three decimal places.)
-Are all the expected frequencies greater than 5?
Yes
No
-What sampling distribution will you use?
uniform
normal
Student's t
chi-square
binomial
c) What are the degrees of freedom?
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