Questions
2. Identify the fraud risk factors posed by DHB for its independent auditors. Which of these...

2. Identify the fraud risk factors posed by DHB for its independent auditors. Which of these factors, in your opinion, should have been of primary concern to those auditors?

3. During the 2004 DHB audit, the company’s independent auditors had considerable difficulty obtaining reliable audit evidence regarding the $7 million of obsolete vest components that allegedly had been destroyed by a hurricane. What responsibility do auditors have when the client cannot provide the evidence they need to complete one or more audit tests or procedures?

4. What responsibility, if any, do auditors have to search for related-party transactions? If auditors discover that a client has engaged in related-party transactions, what audit procedures should be applied to them?

5. Compare and contrast the internal control reporting responsibilities of the management and independent auditors of public companies.

6. What potential consequences do frequent changes in auditors have for the quality of a given entity’s independent audits? Identify professional standards or other rules and regulations that are intended to discourage auditor changes or provide disclosure of the circumstances surround them.

7. David Brooks apparently made threatening remarks to certain of his company’s independent auditors. What actions should auditors take when they are the target of hostile statements or actions by client executives or employees?

8. Does the SEC have a responsibility to protect the investing public from self-interested corporate executives? Do professional auditing standards or other rules or regulations impose such a responsibility on independent auditors?

9. The audit committee of DHB Industries was criticized for failing to carry out its oversight responsibilities. What are the primary responsibilities of a public company’s audit committee?

In: Accounting

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 test at the 0.0250.025 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

0.025

0.025

level of significance.

Step 8 of 8 : State the conclusion of the hypothesis test at the

0.025

0.025

level of significance.

In: Statistics and Probability

Write a two to three (2-3) page paper in which you: choose a US company: Assess...

Write a two to three (2-3) page paper in which you: choose a US company: Assess the factors that contributed to the financialstatement restatement, signifying the executive management team’s attitude toward the restatement. Suggest how the restatement may have been avoided during the initial reporting process. Explain the impact to the company’s stock price when the restatement was released and to future earnings forecast, indicating whether or not you believe the impact to the stock price was justified. Evaluate the restatement in terms of management’s ethical violations according to the requirements of the Sarbanes-Oxley Act, providing recommendations to management on how to avoid these problems in the future. Provide support for your recommendations. Use at least two (2) quality academic resources in this assignment. Note: Wikipedia and other Websites do not quality as academic resources.

In: Finance

Three professors at the University of Macau compared two different approaches to teaching courses in the...

Three professors at the University of Macau compared two different approaches to teaching courses in the faculty of business administration. At the time of the study, there were 2,100 students in the faculty, and 96 students were involved in the study. Demographic data collected on these 96 students included year of study (first, second, third, fourth), age, gender, and major. What is the population of interest in the study?

Select one:

a. The demographic data collected from the 96 selected students in the faculty of business administration at the University of Macau at the time of the study.

b. All the students in the faculty of business administration at the University of Macau in the academic year 2019/2020.

c. The 96 selected students in the faculty of business administration at the University of Macau in the academic year 2019/2020.

d. The 2,100 students in the faculty of business administration at the University of Macau at the time of the study.

In: Statistics and Probability

A professor notices that more and more students are using their notebook computers in class, presumably...

A professor notices that more and more students are using their notebook computers in class, presumably to take notes. He wonders if this may actually improve academic success. To test this, the professor records the number of times each student uses his or her computer during a class for one semester and the final grade in the class (out of 100 points). If notebook computer use during class is related to improved academic success, then a positive correlation should be evident. Given the following data, test whether notebook computer use and grades are related at a .05 level of significance.

State the conclusions for this test using APA format. First, describe the correlation coefficient in words and give the value of r. Then give the value of R2 and describe (in words) the effect size using the coefficient of determination. Finally, is there a significant relationship?

In: Statistics and Probability

Government surveillance is said to address threats to public safety and national security. In addition, private...

Government surveillance is said to address threats to public safety and national security. In addition, private sector organizations often claim that the collection and analysis of “big data” leads to highly efficient business practices and better service to customers. Yet, the methods and scope of surveillance in the 21st century generate difficult questions for policy makers. Suppose it is your task to find an acceptable balance between, on the one hand, the use of surveillance to enhance public safety and national security and, on the other hand, society’s interest in guaranteeing personal privacy. To which fields of academic or professional activity will you turn for perspective and guidance? How, in your view, do these various fields of academic or professional endeavor inform policy debate about surveillance in a democratic society? Carefully explain your responses.

In: Operations Management

In 2004, Israel switched from using OPV to using IPV. Then, after wild-type polio was found...

In 2004, Israel switched from using OPV to using IPV. Then, after wild-type polio was found to be circulating in the population in 2013, a supplementary OPV program was begun for children who had received only IPV. Describe what would be the best rationale for an OPV supplementary program?

In: Biology

A manager that is part of an investment center is evaluated based​ on: A. Their ability...

A manager that is part of an investment center is evaluated based​ on:

A. Their ability to increase the price of their product as compared to competitors.

B. Their ability to make a profit in relation to the level of resources they have been provided.

C. Their ability to cut costs as compared to the amout of equity the investors have put into the business.

D. Their ability to earn revenue in relation to the level of obligations the company is liable.

Sales margin is an indication of​ _________.  

While​ _____________ is indicated in the capital turnover ratio.

A. Efficiency. Differentiation.

B. Low Cost Leadership. Substitution.

C. Differentiation. Substitution.

D. Differentiation. Low Cost Leader.

A flexible budget​ variance:

A. Will always have the same amount for fixed costs as the initial master budget.

B. Changes the level of volume budgeted to match actual levels.

C. Provides wiggle room for management projections.

D. Does not indicate management performance.

Residual income is useful​ because:

A. It indicates the level of leverage managers have from variable and fixed cost structure.

B. It allows managers to accept projects that may be below their current level of return on investment.

C. Residual income is not a useful evaluation tool. It is only used for academic reasons.

D. It provides the return on investment.

In: Accounting

observation_date FEDFUNDS 1954-07-01 0.80 1954-08-01 1.22 1954-09-01 1.06 1954-10-01 0.85 1954-11-01 0.83 1954-12-01 1.28 1955-01-01 1.39...

observation_date FEDFUNDS
1954-07-01 0.80
1954-08-01 1.22
1954-09-01 1.06
1954-10-01 0.85
1954-11-01 0.83
1954-12-01 1.28
1955-01-01 1.39
1955-02-01 1.29
1955-03-01 1.35
1955-04-01 1.43
1955-05-01 1.43
1955-06-01 1.64
1955-07-01 1.68
1955-08-01 1.96
1955-09-01 2.18
1955-10-01 2.24
1955-11-01 2.35
1955-12-01 2.48
1956-01-01 2.45
1956-02-01 2.50
1956-03-01 2.50
1956-04-01 2.62
1956-05-01 2.75
1956-06-01 2.71
1956-07-01 2.75
1956-08-01 2.73
1956-09-01 2.95
1956-10-01 2.96
1956-11-01 2.88
1956-12-01 2.94
1957-01-01 2.84
1957-02-01 3.00
1957-03-01 2.96
1957-04-01 3.00
1957-05-01 3.00
1957-06-01 3.00
1957-07-01 2.99
1957-08-01 3.24
1957-09-01 3.47
1957-10-01 3.50
1957-11-01 3.28
1957-12-01 2.98
1958-01-01 2.72
1958-02-01 1.67
1958-03-01 1.20
1958-04-01 1.26
1958-05-01 0.63
1958-06-01 0.93
1958-07-01 0.68
1958-08-01 1.53
1958-09-01 1.76
1958-10-01 1.80
1958-11-01 2.27
1958-12-01 2.42
1959-01-01 2.48
1959-02-01 2.43
1959-03-01 2.80
1959-04-01 2.96
1959-05-01 2.90
1959-06-01 3.39
1959-07-01 3.47
1959-08-01 3.50
1959-09-01 3.76
1959-10-01 3.98
1959-11-01 4.00
1959-12-01 3.99
1960-01-01 3.99
1960-02-01 3.97
1960-03-01 3.84
1960-04-01 3.92
1960-05-01 3.85
1960-06-01 3.32
1960-07-01 3.23
1960-08-01 2.98
1960-09-01 2.60
1960-10-01 2.47
1960-11-01 2.44
1960-12-01 1.98
1961-01-01 1.45
1961-02-01 2.54
1961-03-01 2.02
1961-04-01 1.49
1961-05-01 1.98
1961-06-01 1.73
1961-07-01 1.17
1961-08-01 2.00
1961-09-01 1.88
1961-10-01 2.26
1961-11-01 2.61
1961-12-01 2.33
1962-01-01 2.15
1962-02-01 2.37
1962-03-01 2.85
1962-04-01 2.78
1962-05-01 2.36
1962-06-01 2.68
1962-07-01 2.71
1962-08-01 2.93
1962-09-01 2.90
1962-10-01 2.90
1962-11-01 2.94
1962-12-01 2.93
1963-01-01 2.92
1963-02-01 3.00
1963-03-01 2.98
1963-04-01 2.90
1963-05-01 3.00
1963-06-01 2.99
1963-07-01 3.02
1963-08-01 3.49
1963-09-01 3.48
1963-10-01 3.50
1963-11-01 3.48
1963-12-01 3.38
1964-01-01 3.48
1964-02-01 3.48
1964-03-01 3.43
1964-04-01 3.47
1964-05-01 3.50
1964-06-01 3.50
1964-07-01 3.42
1964-08-01 3.50
1964-09-01 3.45
1964-10-01 3.36
1964-11-01 3.52
1964-12-01 3.85
1965-01-01 3.90
1965-02-01 3.98
1965-03-01 4.04
1965-04-01 4.09
1965-05-01 4.10
1965-06-01 4.04
1965-07-01 4.09
1965-08-01 4.12
1965-09-01 4.01
1965-10-01 4.08
1965-11-01 4.10
1965-12-01 4.32
1966-01-01 4.42
1966-02-01 4.60
1966-03-01 4.65
1966-04-01 4.67
1966-05-01 4.90
1966-06-01 5.17
1966-07-01 5.30
1966-08-01 5.53
1966-09-01 5.40
1966-10-01 5.53
1966-11-01 5.76
1966-12-01 5.40
1967-01-01 4.94
1967-02-01 5.00
1967-03-01 4.53
1967-04-01 4.05
1967-05-01 3.94
1967-06-01 3.98
1967-07-01 3.79
1967-08-01 3.90
1967-09-01 3.99
1967-10-01 3.88
1967-11-01 4.13
1967-12-01 4.51
1968-01-01 4.60
1968-02-01 4.71
1968-03-01 5.05
1968-04-01 5.76
1968-05-01 6.11
1968-06-01 6.07
1968-07-01 6.02
1968-08-01 6.03
1968-09-01 5.78
1968-10-01 5.91
1968-11-01 5.82
1968-12-01 6.02
1969-01-01 6.30
1969-02-01 6.61
1969-03-01 6.79
1969-04-01 7.41
1969-05-01 8.67
1969-06-01 8.90
1969-07-01 8.61
1969-08-01 9.19
1969-09-01 9.15
1969-10-01 9.00
1969-11-01 8.85
1969-12-01 8.97
1970-01-01 8.98
1970-02-01 8.98
1970-03-01 7.76
1970-04-01 8.10
1970-05-01 7.94
1970-06-01 7.60
1970-07-01 7.21
1970-08-01 6.61
1970-09-01 6.29
1970-10-01 6.20
1970-11-01 5.60
1970-12-01 4.90
1971-01-01 4.14
1971-02-01 3.72
1971-03-01 3.71
1971-04-01 4.15
1971-05-01 4.63
1971-06-01 4.91
1971-07-01 5.31
1971-08-01 5.56
1971-09-01 5.55
1971-10-01 5.20
1971-11-01 4.91
1971-12-01 4.14
1972-01-01 3.50
1972-02-01 3.29
1972-03-01 3.83
1972-04-01 4.17
1972-05-01 4.27
1972-06-01 4.46
1972-07-01 4.55
1972-08-01 4.80
1972-09-01 4.87
1972-10-01 5.04
1972-11-01 5.06
1972-12-01 5.33
1973-01-01 5.94
1973-02-01 6.58
1973-03-01 7.09
1973-04-01 7.12
1973-05-01 7.84
1973-06-01 8.49
1973-07-01 10.40
1973-08-01 10.50
1973-09-01 10.78
1973-10-01 10.01
1973-11-01 10.03
1973-12-01 9.95
1974-01-01 9.65
1974-02-01 8.97
1974-03-01 9.35
1974-04-01 10.51
1974-05-01 11.31
1974-06-01 11.93
1974-07-01 12.92
1974-08-01 12.01
1974-09-01 11.34
1974-10-01 10.06
1974-11-01 9.45
1974-12-01 8.53
1975-01-01 7.13
1975-02-01 6.24
1975-03-01 5.54
1975-04-01 5.49
1975-05-01 5.22
1975-06-01 5.55
1975-07-01 6.10
1975-08-01 6.14
1975-09-01 6.24
1975-10-01 5.82
1975-11-01 5.22
1975-12-01 5.20
1976-01-01 4.87
1976-02-01 4.77
1976-03-01 4.84
1976-04-01 4.82
1976-05-01 5.29
1976-06-01 5.48
1976-07-01 5.31
1976-08-01 5.29
1976-09-01 5.25
1976-10-01 5.02
1976-11-01 4.95
1976-12-01 4.65
1977-01-01 4.61
1977-02-01 4.68
1977-03-01 4.69
1977-04-01 4.73
1977-05-01 5.35
1977-06-01 5.39
1977-07-01 5.42
1977-08-01 5.90
1977-09-01 6.14
1977-10-01 6.47
1977-11-01 6.51
1977-12-01 6.56
1978-01-01 6.70
1978-02-01 6.78
1978-03-01 6.79
1978-04-01 6.89
1978-05-01 7.36
1978-06-01 7.60
1978-07-01 7.81
1978-08-01 8.04
1978-09-01 8.45
1978-10-01 8.96
1978-11-01 9.76
1978-12-01 10.03
1979-01-01 10.07
1979-02-01 10.06
1979-03-01 10.09
1979-04-01 10.01
1979-05-01 10.24
1979-06-01 10.29
1979-07-01 10.47
1979-08-01 10.94
1979-09-01 11.43
1979-10-01 13.77
1979-11-01 13.18
1979-12-01 13.78
1980-01-01 13.82
1980-02-01 14.13
1980-03-01 17.19
1980-04-01 17.61
1980-05-01 10.98
1980-06-01 9.47
1980-07-01 9.03
1980-08-01 9.61
1980-09-01 10.87
1980-10-01 12.81
1980-11-01 15.85
1980-12-01 18.90
1981-01-01 19.08
1981-02-01 15.93
1981-03-01 14.70
1981-04-01 15.72
1981-05-01 18.52
1981-06-01 19.10
1981-07-01 19.04
1981-08-01 17.82
1981-09-01 15.87
1981-10-01 15.08
1981-11-01 13.31
1981-12-01 12.37
1982-01-01 13.22
1982-02-01 14.78
1982-03-01 14.68
1982-04-01 14.94
1982-05-01 14.45
1982-06-01 14.15
1982-07-01 12.59
1982-08-01 10.12
1982-09-01 10.31
1982-10-01 9.71
1982-11-01 9.20
1982-12-01 8.95
1983-01-01 8.68
1983-02-01 8.51
1983-03-01 8.77
1983-04-01 8.80
1983-05-01 8.63
1983-06-01 8.98
1983-07-01 9.37
1983-08-01 9.56
1983-09-01 9.45
1983-10-01 9.48
1983-11-01 9.34
1983-12-01 9.47
1984-01-01 9.56
1984-02-01 9.59
1984-03-01 9.91
1984-04-01 10.29
1984-05-01 10.32
1984-06-01 11.06
1984-07-01 11.23
1984-08-01 11.64
1984-09-01 11.30
1984-10-01 9.99
1984-11-01 9.43
1984-12-01 8.38
1985-01-01 8.35
1985-02-01 8.50
1985-03-01 8.58
1985-04-01 8.27
1985-05-01 7.97
1985-06-01 7.53
1985-07-01 7.88
1985-08-01 7.90
1985-09-01 7.92
1985-10-01 7.99
1985-11-01 8.05
1985-12-01 8.27
1986-01-01 8.14
1986-02-01 7.86
1986-03-01 7.48
1986-04-01 6.99
1986-05-01 6.85
1986-06-01 6.92
1986-07-01 6.56
1986-08-01 6.17
1986-09-01 5.89
1986-10-01 5.85
1986-11-01 6.04
1986-12-01 6.91
1987-01-01 6.43
1987-02-01 6.10
1987-03-01 6.13
1987-04-01 6.37
1987-05-01 6.85
1987-06-01 6.73
1987-07-01 6.58
1987-08-01 6.73
1987-09-01 7.22
1987-10-01 7.29
1987-11-01 6.69
1987-12-01 6.77
1988-01-01 6.83
1988-02-01 6.58
1988-03-01 6.58
1988-04-01 6.87
1988-05-01 7.09
1988-06-01 7.51
1988-07-01 7.75
1988-08-01 8.01
1988-09-01 8.19
1988-10-01 8.30
1988-11-01 8.35
1988-12-01 8.76
1989-01-01 9.12
1989-02-01 9.36
1989-03-01 9.85
1989-04-01 9.84
1989-05-01 9.81
1989-06-01 9.53
1989-07-01 9.24
1989-08-01 8.99
1989-09-01 9.02
1989-10-01 8.84
1989-11-01 8.55
1989-12-01 8.45
1990-01-01 8.23
1990-02-01 8.24
1990-03-01 8.28
1990-04-01 8.26
1990-05-01 8.18
1990-06-01 8.29
1990-07-01 8.15
1990-08-01 8.13
1990-09-01 8.20
1990-10-01 8.11
1990-11-01 7.81
1990-12-01 7.31
1991-01-01 6.91
1991-02-01 6.25
1991-03-01 6.12
1991-04-01 5.91
1991-05-01 5.78
1991-06-01 5.90
1991-07-01 5.82
1991-08-01 5.66
1991-09-01 5.45
1991-10-01 5.21
1991-11-01 4.81
1991-12-01 4.43
1992-01-01 4.03
1992-02-01 4.06
1992-03-01 3.98
1992-04-01 3.73
1992-05-01 3.82
1992-06-01 3.76
1992-07-01 3.25
1992-08-01 3.30
1992-09-01 3.22
1992-10-01 3.10
1992-11-01 3.09
1992-12-01 2.92
1993-01-01 3.02
1993-02-01 3.03
1993-03-01 3.07
1993-04-01 2.96
1993-05-01 3.00
1993-06-01 3.04
1993-07-01 3.06
1993-08-01 3.03
1993-09-01 3.09
1993-10-01 2.99
1993-11-01 3.02
1993-12-01 2.96
1994-01-01 3.05
1994-02-01 3.25
1994-03-01 3.34
1994-04-01 3.56
1994-05-01 4.01
1994-06-01 4.25
1994-07-01 4.26
1994-08-01 4.47
1994-09-01 4.73
1994-10-01 4.76
1994-11-01 5.29
1994-12-01 5.45
1995-01-01 5.53
1995-02-01 5.92
1995-03-01 5.98
1995-04-01 6.05
1995-05-01 6.01
1995-06-01 6.00
1995-07-01 5.85
1995-08-01 5.74
1995-09-01 5.80
1995-10-01 5.76
1995-11-01 5.80
1995-12-01 5.60
1996-01-01 5.56
1996-02-01 5.22
1996-03-01 5.31
1996-04-01 5.22
1996-05-01 5.24
1996-06-01 5.27
1996-07-01 5.40
1996-08-01 5.22
1996-09-01 5.30
1996-10-01 5.24
1996-11-01 5.31
1996-12-01 5.29
1997-01-01 5.25
1997-02-01 5.19
1997-03-01 5.39
1997-04-01 5.51
1997-05-01 5.50
1997-06-01 5.56
1997-07-01 5.52
1997-08-01 5.54
1997-09-01 5.54
1997-10-01 5.50
1997-11-01 5.52
1997-12-01 5.50
1998-01-01 5.56
1998-02-01 5.51
1998-03-01 5.49
1998-04-01 5.45
1998-05-01 5.49
1998-06-01 5.56
1998-07-01 5.54
1998-08-01 5.55
1998-09-01 5.51
1998-10-01 5.07
1998-11-01 4.83
1998-12-01 4.68
1999-01-01 4.63
1999-02-01 4.76
1999-03-01 4.81
1999-04-01 4.74
1999-05-01 4.74
1999-06-01 4.76
1999-07-01 4.99
1999-08-01 5.07
1999-09-01 5.22
1999-10-01 5.20
1999-11-01 5.42
1999-12-01 5.30
2000-01-01 5.45
2000-02-01 5.73
2000-03-01 5.85
2000-04-01 6.02
2000-05-01 6.27
2000-06-01 6.53
2000-07-01 6.54
2000-08-01 6.50
2000-09-01 6.52
2000-10-01 6.51
2000-11-01 6.51
2000-12-01 6.40
2001-01-01 5.98
2001-02-01 5.49
2001-03-01 5.31
2001-04-01 4.80
2001-05-01 4.21
2001-06-01 3.97
2001-07-01 3.77
2001-08-01 3.65
2001-09-01 3.07
2001-10-01 2.49
2001-11-01 2.09
2001-12-01 1.82
2002-01-01 1.73
2002-02-01 1.74
2002-03-01 1.73
2002-04-01 1.75
2002-05-01 1.75
2002-06-01 1.75
2002-07-01 1.73
2002-08-01 1.74
2002-09-01 1.75
2002-10-01 1.75
2002-11-01 1.34
2002-12-01 1.24
2003-01-01 1.24
2003-02-01 1.26
2003-03-01 1.25
2003-04-01 1.26
2003-05-01 1.26
2003-06-01 1.22
2003-07-01 1.01
2003-08-01 1.03
2003-09-01 1.01
2003-10-01 1.01
2003-11-01 1.00
2003-12-01 0.98
2004-01-01 1.00
2004-02-01 1.01
2004-03-01 1.00
2004-04-01 1.00
2004-05-01 1.00
2004-06-01 1.03
2004-07-01 1.26
2004-08-01 1.43
2004-09-01 1.61
2004-10-01 1.76
2004-11-01 1.93
2004-12-01 2.16
2005-01-01 2.28
2005-02-01 2.50
2005-03-01 2.63
2005-04-01 2.79
2005-05-01 3.00
2005-06-01 3.04
2005-07-01 3.26
2005-08-01 3.50
2005-09-01 3.62
2005-10-01 3.78
2005-11-01 4.00
2005-12-01 4.16
2006-01-01 4.29
2006-02-01 4.49
2006-03-01 4.59
2006-04-01 4.79
2006-05-01 4.94
2006-06-01 4.99
2006-07-01 5.24
2006-08-01 5.25
2006-09-01 5.25
2006-10-01 5.25
2006-11-01 5.25
2006-12-01 5.24
2007-01-01 5.25
2007-02-01 5.26
2007-03-01 5.26
2007-04-01 5.25
2007-05-01 5.25
2007-06-01 5.25
2007-07-01 5.26
2007-08-01 5.02
2007-09-01 4.94
2007-10-01 4.76
2007-11-01 4.49
2007-12-01 4.24
2008-01-01 3.94
2008-02-01 2.98
2008-03-01 2.61
2008-04-01 2.28
2008-05-01 1.98
2008-06-01 2.00
2008-07-01 2.01
2008-08-01 2.00
2008-09-01 1.81
2008-10-01 0.97
2008-11-01 0.39
2008-12-01 0.16
2009-01-01 0.15
2009-02-01 0.22
2009-03-01 0.18
2009-04-01 0.15
2009-05-01 0.18
2009-06-01 0.21
2009-07-01 0.16
2009-08-01 0.16
2009-09-01 0.15
2009-10-01 0.12
2009-11-01 0.12
2009-12-01 0.12
2010-01-01 0.11
2010-02-01 0.13
2010-03-01 0.16
2010-04-01 0.20
2010-05-01 0.20
2010-06-01 0.18
2010-07-01 0.18
2010-08-01 0.19
2010-09-01 0.19
2010-10-01 0.19
2010-11-01 0.19
2010-12-01 0.18
2011-01-01 0.17
2011-02-01 0.16
2011-03-01 0.14
2011-04-01 0.10
2011-05-01 0.09
2011-06-01 0.09
2011-07-01 0.07
2011-08-01 0.10
2011-09-01 0.08
2011-10-01 0.07
2011-11-01 0.08
2011-12-01 0.07
2012-01-01 0.08
2012-02-01 0.10
2012-03-01 0.13
2012-04-01 0.14
2012-05-01 0.16
2012-06-01 0.16
2012-07-01 0.16
2012-08-01 0.13
2012-09-01 0.14
2012-10-01 0.16
2012-11-01 0.16
2012-12-01 0.16
2013-01-01 0.14
2013-02-01 0.15
2013-03-01 0.14
2013-04-01 0.15
2013-05-01 0.11
2013-06-01 0.09
2013-07-01 0.09
2013-08-01 0.08
2013-09-01 0.08
2013-10-01 0.09
2013-11-01 0.08
2013-12-01 0.09
2014-01-01 0.07
2014-02-01 0.07
2014-03-01 0.08
2014-04-01 0.09
2014-05-01 0.09
2014-06-01 0.10
2014-07-01 0.09
2014-08-01 0.09
2014-09-01 0.09
2014-10-01 0.09
2014-11-01 0.09
2014-12-01 0.12
2015-01-01 0.11
2015-02-01 0.11
2015-03-01 0.11
2015-04-01 0.12
2015-05-01 0.12

Using the data in the Federal Funds Rate tab in the data file, perform the following analysese.

a) Create a new column in the data file with the 5 period moving average series of the Federal Funds rate.

b) Create a new column in the data file with the expontential smoothing series with W=0.25.

c) Plot the three columns against the date.

d) Fit an Autoregressive model to this data, assume that the true model has only one lag in it.

In: Statistics and Probability

A researcher provides the following research hypothesis: Those who attend church more frequently will be more...

A researcher provides the following research hypothesis: Those who attend church more frequently will be more likely to vote. a. What is the independent and dependent variable here? EXPLAIN. b. What “direction” is this relationship? EXPLAIN. c. Write an appropriate null hypothesis for this research hypothesis. 2. A researcher provides the following research hypothesis: Blacks will lend money more frequently to friends and family than will Whites. a. What is the independent and dependent variable here? EXPLAIN. b. What “direction” is this relationship? EXPLAIN. c. Write an appropriate null hypothesis for this research hypothesis. 3. A researcher is looking at the relationship between number of glasses of red wine per week and cholesterol levels. a. Write a possible research hypothesis for this relationship. b. Write out the null hypothesis. c. For the research hypothesis you wrote, identify which is the dependent and which is the independent variable. d. If the relationship between these variables is determined to be not significant, does he need to address his research hypothesis? 4. What do we use to evaluate, or test, our null hypotheses? What are the two decisions we can make about the null hypotheses when we test the null hypothesis. How do we make that decision? 5. If a researcher is at the 99% confidence level, what p value is he looking for in order to determine statistical significance. What is the most common confidence level? What p value do we look for in that case? What are the factors discussed in lecture that influence decisions about what confidence level to use?

In: Statistics and Probability