Question

In: Statistics and Probability

An educational researcher wishes to know if there is a difference in academic performance for college...

An educational researcher wishes to know if there is a difference in academic performance for college freshmen that live on campus and those that commute. Data was collected from 336 students. Can we conclude that freshman housing location and academic performance are related?

Location   Average   Below Average   Above Average   Total
On campus   99 89 89 277
Off campus   41 10 8 59
Total 140 99 97 336

Step 1 of 8: State the null and alternative hypothesis.

Step 2 of 8: Find the expected value for the number of students that live on campus and have academic performance that is average. Round your answer to one decimal place.

Step 3 of 8: Find the expected value for the number of students that live on campus and have academic performance that is above average. Round your answer to one decimal place.

Step 4 of 8: Find the value of the test statistic. Round your answer to three decimal places.

Step 5 of 8: Find the degrees of freedom associated with the test statistic for this problem.

Step 6 of 8: Find the critical value of the test at the 0.01 level of significance. Round your answer to three decimal places.

Step 7 of 8: Make the decision to reject or fail to reject the null hypothesis at the 0.01 level of significance.

Step 8 of 8: State the conclusion of the hypothesis test at the 0.01 level of significance.

Solutions

Expert Solution


Related Solutions

An educational researcher wishes to know if there is a difference in academic performance for college...
An educational researcher wishes to know if there is a difference in academic performance for college freshmen that live on campus and those that commute. Data was collected from 214214 students. Can we conclude that freshman housing location and academic performance are related? Location Average Below Average Above Average Total On campus 7777 4242 3939 158158 Off campus 2828 1414 1414 5656 Total 105105 5656 5353 214214 Copy Data Step 1 of 8 :   State the null and alternative hypothesis....
An educational researcher wishes to know if there is a difference in academic performance for college...
An educational researcher wishes to know if there is a difference in academic performance for college freshmen that live on campus and those that commute. Data was collected from 214214 students. Can we conclude that freshman housing location and academic performance are related? Location Average Below Average Above Average Total On campus 7777 4242 3939 158158 Off campus 2828 1414 1414 5656 Total 105105 5656 5353 214214 Copy Data Step 6 of 8 :   Find the critical value of the...
A researcher wishes to examine the relationship between wage earned and educational level of workers. For...
A researcher wishes to examine the relationship between wage earned and educational level of workers. For a sample of 4000 workers she has data on hourly earnings (measured in Dollar), age of the worker (in years), worker’s gender, years of experience, number of years with the present employer, size of the firm in which the worker is employed, and highest educational qualification (with 4 classifications: no qualification, secondary school certificate, bachelor degree or PhD) Explain how you would set up...
A researcher wishes to examine the relationship between wage earned and educational level of workers. For...
A researcher wishes to examine the relationship between wage earned and educational level of workers. For a sample of 4000 workers she has data on hourly earnings (measured in SAR), age of the worker (in years), worker’s gender, years of experience, number of years with the present employer, size of the firm in which the worker is employed, and highest educational qualification (with 4 classifications: no qualification, secondary school certificate, bachelor degree or PhD) Explain how you would set up...
A researcher wishes to examine the relationship between wage earned and educational level of workers. For...
A researcher wishes to examine the relationship between wage earned and educational level of workers. For a sample of 4000 workers she has data on hourly earnings (measured in SAR), age of the worker (in years), worker’s gender, years of experience, number of years with the present employer, size of the firm in which the worker is employed, and highest educational qualification (with 4 classifications: no qualification, secondary school certificate, bachelor degree or PhD) Explain how you would set up...
A researcher wishes to examine the relationship between wage earned and educational level of workers. For...
A researcher wishes to examine the relationship between wage earned and educational level of workers. For a sample of 4000 workers she has data on hourly earnings (measured in SAR), age of the worker (in years), worker’s gender, years of experience, number of years with the present employer, size of the firm in which the worker is employed, and highest educational qualification (with 4 classifications: no qualification, secondary school certificate, bachelor degree or PhD) Explain how you would set up...
A researcher wishes to examine the relationship between wage earned and educational level of workers. For...
A researcher wishes to examine the relationship between wage earned and educational level of workers. For a sample of 4000 workers she has data on hourly earnings (measured in SAR), age of the worker (in years), worker’s gender, years of experience, number of years with the present employer, size of the firm in which the worker is employed, and highest educational qualification (with 4 classifications: no qualification, secondary school certificate, bachelor degree or PhD) Explain how you would set up...
(a) A researcher wishes to test the performance of two paper shredders, the Stanley and the...
(a) A researcher wishes to test the performance of two paper shredders, the Stanley and the Bosch, designed for professional use. Each of 10 randomly selected volunteers shredded 100 sheets of paper with the Stanley, and then another sample of 10 randomly selected volunteers each shredded 100 sheets with the Bosch. The Stanley took an average of 203 seconds to shred 100 sheets with a standard deviation of 6 seconds. The Bosch took an average of 187 seconds to shred...
A researcher wishes to test claim that there is no difference in the life span of...
A researcher wishes to test claim that there is no difference in the life span of two types of reptiles: the Nile crocodile and giant sea turtle. Sample data including the average lifespan of both reptiles are provided below. Test the claim using α=0.05. Nile Crocodile Giant Sea Turtle X ¯ 1 = 45 s 1 ==2.6 n 1 =12 X ¯ 2 =44 s 2 =6.5 n 2 =10 State the claim: H 0 μ 1   claim H 1 μ...
2. A researcher wishes to test the claim that there is a difference in the distribution...
2. A researcher wishes to test the claim that there is a difference in the distribution of ages of elementary school, high school, and community college teachers. Teachers are randomly selected from each group. Their ages are recorded below. Can you conclude that the distributions of teachers' ages at these different levels of education are different? Use the Kruskal-Wallis test. Use α = 0.05. Elementary 28,33,32,57,42,30 High school 41,46,43,52,47,36 Comm. College 44,50,41,66,50,40 need work shown
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT