Loughran & Ritter (2002) argue that prospect theory provides an explanation for underpricing. What is prospect theory and how does it advance our knowledge of the IPO market?
In: Finance
Loughran & Ritter (2002) argue that prospect theory provides an explanation for underpricing. What is prospect theory and how does it advance our knowledge of the IPO market?
In: Finance
Choose one of the 11 titles in the Sarbanes-Oxley Act of 2002 and describe it. Do you believe this section is an effective deterrent to an accounting scandal? Why or why not?
In: Accounting
what is a good overview that defines strategic allocation of financial resources as an academic field of study
with a significance of the course to business .
In: Accounting
Why business rules are important for a good database design? Give 3 examples of business rules in academic environment.
In: Computer Science
What strategies can academic firms put forth/in place to encourage customer adoption of digital business in Africa?
In: Finance
Compare and contrast the use of research for academic work and the use of research in a marketing plan and relate it to primary and secondary research.
In: Operations Management
ection 61 indicates that gross income “from whatever source derived” is taxable. Select a type of income that you know to be taxable under Section 61 and prepare a cogent, academic, policy argument for why it should not be taxed. Be sure to incorporate the following elements:
Your cogent, academic, policy argument
How Adam Smith’s elements of taxation are impacted by the decision to not tax the type of income you picked.
Who in society will win or lose based on the change in policy.
At least one unintended consequence of the change in policy.
In: Accounting
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.
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
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
0.01
level of significance.
Step 8 of 8 : State the conclusion of the hypothesis test at the
0.01
0.01
level of significance.
In: Statistics and Probability
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.
In: Statistics and Probability