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An appropriate null hypothesis to test whether the trees in the forest are randomly distributed is

(a) H0:=25, where =the mean number of trees in each quadrant.

(b) H0:p=0.25, where p=the proportion of all trees in the forest that are in Quadrant 1.

(c) H0:n1=n2=n3=n4=25, where niis the number of trees from the sample in Quadrant i.

(d) H0:p1=p2=p3=p4=0.25, where piis the actual proportion of trees in the forest that are in Quadrant i.

(e) H0:p^1=p^2=p^3=p^4=0.25, where p^iis the proportion of trees in the sample that are in Quadranti.

Short Answer

Expert verified

Correct Answer is

(d) H0:p1=p2=p3=p4=0.25, where piis the actual proportion of trees in the forest that are in Quadranti.

Step by step solution

01

Given information

Given in the question that, Researchers wondered whether the trees in a longleaf pine forest in Georgia are randomly distributed. To find out, they divided the forest into four equal quadrants. Then the researchers took a random sample of 100 trees and counted the number in each quadrant. Here are their data:

02

Explanation

The table is

QuadrantFrequency
1
18
2
22
3
39
4
21

The proportion is computed as:

localid="1650552960795" pi=14=0.25

The null and alternative hypotheses are:

H0:p1=0.25

H0:p2=0.25

H0:p3=0.25

localid="1650621296388" H0:p4=0.25

Ha:At least one of is different Thus, the correct option is (d).

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Most popular questions from this chapter

The expected count of females who respond 鈥渁lmost certain鈥 is

(a) 464.6.

(b) 891.2.

(c) 1038.8.

(d) 1174.

(e) None of these.

Perform a follow-up analysis of the test in Exercise 40 by finding the individual components of the chi-square statistic. Which cell(s) contributed most to the final result?

Do men and women participate in sports for the same reasons? One goal for sports participants is social comparison鈥攖he desire to win or to do better than other people. Another is mastery鈥攖he desire to improve one鈥檚 skills or to try one鈥檚 best. A study on why students participate in sports collected data from independent random samples of 67male and 67female undergraduates at a large university. Each student was classified into one of four categories based on his or her responses to a questionnaire about sports goals. The four categories were high social comparison鈥 high mastery (HSC-HM), high social comparison鈥 low mastery (HSC-LM), low social comparison鈥揾igh mastery (LSC-HM), and low social comparison鈥搇ow mastery (LSC-LM). One purpose of the study was to compare the goals of male and female students. Here are the data displayed in a two-way table:

GoalFemaleMaleHSC-HM1431HSC-LM2118LSC-HM215LSC-LM2513

(a) Calculate the conditional distribution (in proportions) of the reported sports goals for each gender.

(b) Make an appropriate graph for comparing the conditional distributions in part (a).

(c) Write a few sentences comparing the distributions of sports goals for male and female undergraduates.

32. How are schools doing? Refer to Exercises 28 and 30 .

(a) Check that the conditions for performing the chi-square test are met.

(b) Use Table Cto find the P-value. Then use your calculator's 2cdfcommand.

(c) Interpret the P-value from the calculator in context.

(d) What conclusion would you draw? Justify your answer.

A large distributor of gasoline claims that 60%all cars stopping at their service stations choose regular unleaded gas and that premium and supreme are each selected 20%of the time. To investigate this claim, researchers collected data from a random sample of drivers who put gas in their vehicles at the distributor's service stations in a large city. The results were as follows:

Carry out a significance test of the distributor's claim. Use a 5%significance level.

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