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The types of browse favored by deer are shown in the following table. Using binoculars, volunteers...

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

Solutions

Expert Solution

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


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