Question

In: Statistics and Probability

The following table shows age distribution and location of a random sample of 166 buffalo in...

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 16 12 13 41
Yearling 10 12 11 33
Adult 30 31 31 92
Column Total 56

Use a chi-square test to determine if age distribution and location are independent at the 0.05 level of significance.

(a) What is the level of significance?

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State the null and alternate hypotheses.

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.

H0: Age distribution and location are 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.)

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Solutions

Expert Solution

The observed abd expected values are as below. Each expected value = Row total * Column Total / Total

Observed
Lamar Nez Perce Firehole Total
Calf 16 12 13 41
Yearling 10 12 11 33
Adult 30 31 31 92
Total 56 55 55 166
Expected
Lamar Nez Perce Firehole Total
Calf 13.831 13.584 13.584 40.999
Yearling 11.133 10.934 10.934 33.001
Adult 31.036 30.482 30.482 92
Total 56 55 55 166

(a) The Level of significance = 0.05

The Hypothesis: Option 1

H0: Age distribution and location are independent.

H1: Age distribution and location are not independent.

(b) The Test Statistic:

# Observed Expected (O-E) (O-E)2 (O-E)2/E
1 16 13.831 2.169 4.704561 0.340146
2 10 11.133 -1.133 1.283689 0.115305
3 30 31.036 -1.036 1.073296 0.034582
4 12 13.584 -1.584 2.509056 0.184707
5 12 10.934 1.066 1.136356 0.103929
6 31 30.482 0.518 0.268324 0.008803
7 13 13.584 -0.584 0.341056 0.025107
8 11 10.934 0.066 0.004356 0.000398
9 31 30.482 0.518 0.268324 0.008803
Total 0.822

= 0.822


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