Where are the deer? Random samples of square-kilometer plots were taken in different ecological locations of a national park. The deer counts per square kilometer were recorded and are shown in the following table.
Mountain Brush | Sagebrush Grassland | Pinon Juniper |
29 | 24 | 10 |
27 | 59 | 3 |
25 | 16 | 2 |
27 | 24 | 6 |
Shall we reject or accept the claim that there is no difference in the mean number of deer per square kilometer in these different ecological locations? Use a 5% level of significance.
(a) What is the level of significance?
State the null and alternate hypotheses.
Ho: μ1 = μ2 = μ3; H1: Exactly two means are equal.
Ho: μ1 = μ2 = μ3; H1: All three means are different.
Ho: μ1 = μ2 = μ3; H1: Not all the means are equal.
Ho: μ1 = μ2 = μ3; H1: At least two means are equal.
(b) Find SSTOT, SSBET, and
SSW and check that SSTOT =
SSBET + SSW. (Use 3 decimal places.)
SSTOT | = | |
SSBET | = | |
SSW | = |
Find d.f.BET, d.f.W,
MSBET, and MSW. (Use 2 decimal
places for MSBET, and
MSW.)
dfBET | = | |
dfW | = | |
MSBET | = | |
MSW | = |
Find the value of the sample F statistic. (Use 3 decimal
places.)
What are the degrees of freedom?
(numerator)
(denominator)
(c) Find the P-value of the sample test statistic.
P-value > 0.100
0.050 < P-value < 0.100
0.025 < P-value < 0.050
0.010 < P-value < 0.025
0.001 < P-value < 0.010
P-value < 0.001
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis?
Since the P-value is greater than the level of significance at α = 0.05, we do not reject H0.
Since the P-value is less than or equal to the level of significance at α = 0.05, we reject H0.
Since the P-value is greater than the level of significance at α = 0.05, we reject H0.
Since the P-value is less than or equal to the level of significance at α = 0.05, we do not reject H0.
(e) Interpret your conclusion in the context of the
application.
At the 5% level of significance there is insufficient evidence to conclude that the means are not all equal.
At the 5% level of significance there is sufficient evidence to conclude that the means are not all equal.
At the 5% level of significance there is insufficient evidence to conclude that the means are all equal.
At the 5% level of significance there is sufficient evidence to conclude that the means are all equal.
(f) Make a summary table for your ANOVA test.
Source of Variation |
Sum of Squares |
Degrees of Freedom |
MS | F Ratio |
P Value | Test Decision |
Between groups | ---Select--- p-value > 0.100 0.050 < p-value < 0.100 0.025 < p-value < 0.050 0.010 < p-value < 0.025 0.001 < p-value < 0.010 p-value < 0.001 | ---Select--- Do not reject H0. Reject H0. | ||||
Within groups | ||||||
Total |
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