In: Math
The types of browse favored by deer are shown in the following table. Using binoculars, volunteers observed the feeding habits of a random sample of 320 deer.
Type of Browse |
Plant Composition in Study Area |
Observed Number of Deer Feeding on This Plant |
Sage brush |
32% |
100 |
Rabbit brush |
38.7% |
125 |
Salt brush |
12% |
46 |
Service berry |
9.3% |
25 |
Other |
8% |
24 |
Use a 5% level of significance to test the claim that the natural distribution of browse fits the deer feeding pattern.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: The distributions are different.
H1: The distributions are different.
H0: The distributions are different.
H1: The distributions are the same.
H0: The distributions are the same.
H1: The distributions are the same.
H0: The distributions are the same.
H1: The distributions are different.
(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?
chi-square
binomial
normal
uniform
Student's t
What are the degrees of freedom?
(c) Estimate 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
0.005 < P-value < 0.010
P-value < 0.005
(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis that the population fits the specified distribution of categories?
Since the P-value > α, we fail to reject the null hypothesis.
Since the P-value > α, we reject the null hypothesis.
Since the P-value ≤ α, we reject the null hypothesis.
Since the P-value ≤ α, we fail to reject the null hypothesis.
(e) Interpret your conclusion in the context of the application.
At the 5% level of significance, the evidence is sufficient to conclude that the natural distribution of browse does not fit the feeding pattern.
At the 5% level of significance, the evidence is insufficient to conclude that the natural distribution of browse does not fit the feeding pattern
Solution:
Given: The types of browse favored by deer are shown in the following table.
Type of Browse | Plant Composition in Study Area | Observed Number of Deer Feeding on This Plant |
Sage brush | 32% | 100 |
Rabbit brush | 38.70% | 125 |
Salt brush | 12% | 46 |
Service berry | 9.30% | 25 |
Other | 8% | 24 |
Level of significance = 5% = 0.05
Claim: the natural distribution of browse fits the deer feeding pattern.
Part a) What is the level of significance?
0.05
State the null and alternate hypotheses.
H0: The distributions are the same.
H1: The distributions are different.
Part b) Find the value of the chi-square statistic for the sample.
Chi square test statistic for goodness of fit
Where
Oi = Observed Counts
Ei =Expected Counts
To get Ei values,we multiply each % value by 320.
Thus we need to make following table:
Type of Browse | Expected % values: Plant Composition in Study Area | Oi: Observed Number of Deer Feeding on This Plant | Ei: | Oi2/Ei |
Sage brush | 32% | 100 | 102.400 | 97.656 |
Rabbit brush | 38.70% | 125 | 123.840 | 126.171 |
Salt brush | 12% | 46 | 38.400 | 55.104 |
Service berry | 9.30% | 25 | 29.760 | 21.001 |
Other | 8% | 24 | 25.600 | 22.500 |
N= 320 |
Thus we get:
Are all the expected frequencies greater than 5?
Yes
What sampling distribution will you use?
chi-square
What are the degrees of freedom?
df = k - 1 = 5 - 1 = 4
df =4
Part c) Estimate the P-value of the sample test statistic.
Look in Chi-square table for df = 4 row and find interval in which fall then find corresponding right tail area interval.
fall between 1.064 and 7.779
corresponding right tail area interval is: 0.100 and 0.900
thus P-value > 0.100
Thus correct option is: P-value > 0.100
Part d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis that the population fits the specified distribution of categories?
Since P-value > 0.100 which is also > 0.05 level of significance, hence we fail to reject null hypothesis.
Since the P-value > α, we fail to reject the null hypothesis.
Part e) Interpret your conclusion in the context of the application.
At the 5% level of significance, the evidence is insufficient to conclude that the natural distribution of browse does not fit the feeding pattern