# Blog

## Assignment 1: Discussion

Assignment 1: Discussion

Discussion

Using one of the two formulas cited in this module calculate the correlation coefficient using the following values presented below. Once you have completed your calculation, discuss the following: Is there a statistically significant correlation between customer service attitude scores and number of overtime hours? State the research question and testable hypothesis. Interpret, discuss, and support your findings with at least two other classmates.

Customer Service Attitude Scores

OT Hours

5

1

10

6

5

2

11

8

12

5

4

1

3

4

2

6

6

5

1

2

By Friday, February 22, 2013, post to the Discussion Area

Assignment 2: T-Test

By Tuesday, February 26, 2013, post your assignment to the M2: Assignment 2 Dropbox. Any conclusion drawn for the t-test statistical process is only as good as the research question asked and the null hypothesis formulated. T-tests are only used for two sample groups, either on a pre post-test basis or between two samples (independent or dependent). The t-test is optimized to deal with small sample numbers which is often the case with managers in any business. When samples are excessively large the t test becomes difficult to manage due to the mathematical calculations involved.

Calculate the “t” value for independent groups for the following data using the formula presented in the module. Check the accuracy of your calculations. Using the raw measurement data presented above, determine whether or not there exists a statistically significant difference between the salaries of female and male human resource managers using the appropriate t-test. Develop a research question, testable hypothesis, confidence level, and degrees of freedom. Draw the appropriate conclusions with respect to female and male HR salary levels. Report the required “t” critical values based on the degrees of freedom. Your response should be 2-3 pages.

Salary Level

Female HR Directors

Male HR Directors

\$50,000

\$58,000

\$75,000

\$69,000

\$72,000

\$73,000

\$67,000

\$67,000

\$54,000

\$55,000

\$58,000

\$63,000

\$52,000

\$53,000

\$68,000

\$70,000

\$71,000

\$69,000

\$55,000

\$60,000

*Do not forget what we all learned in high school about “0”s

The post Assignment 1: Discussion appeared first on superioressaypapers. ## The Correlation Coefficient

The Correlation Coefficient
Assignment 1: Discussion

Using one of the two formulas cited in this module calculate the correlation coefficient using the following values presented below. Once you have completed your calculation, discuss the following: Is there a statistically significant correlation between customer service attitude scores and number of overtime hours? State the research question and testable hypothesis. Interpret, discuss, and support your findings with at least two other classmates.

Customer Service Attitude Scores

OT Hours

5

1

10

6

5

2

11

8

12

5

4

1

3

4

2

6

6

5

1

2

By Friday, February 22, 2013, post to the Discussion Area

Assignment 2: T-Test

By Tuesday, February 26, 2013, post your assignment to the M2: Assignment 2 Dropbox. Any conclusion drawn for the t-test statistical process is only as good as the research question asked and the null hypothesis formulated. T-tests are only used for two sample groups, either on a pre post-test basis or between two samples (independent or dependent). The t-test is optimized to deal with small sample numbers which is often the case with managers in any business. When samples are excessively large the t test becomes difficult to manage due to the mathematical calculations involved.

Calculate the “t” value for independent groups for the following data using the formula presented in the module. Check the accuracy of your calculations. Using the raw measurement data presented above, determine whether or not there exists a statistically significant difference between the salaries of female and male human resource managers using the appropriate t-test. Develop a research question, testable hypothesis, confidence level, and degrees of freedom. Draw the appropriate conclusions with respect to female and male HR salary levels. Report the required “t” critical values based on the degrees of freedom. Your response should be 2-3 pages.

Salary Level

Female HR Directors

Male HR Directors

\$50,000

\$58,000

\$75,000

\$69,000

\$72,000

\$73,000

\$67,000

\$67,000

\$54,000

\$55,000

\$58,000

\$63,000

\$52,000

\$53,000

\$68,000

\$70,000

\$71,000

\$69,000

\$55,000

\$60,000

*Do not forget what we all learned in high school about “0”s

The post The Correlation Coefficient appeared first on superioressaypapers. ## Chapter 10 Problems 10.10, 10.12, 10.13, and 10.17 Describe a situation in which autocorrelation might be present and which of the three methods of detecting autocorrelation you would leverage. Explain your rationale. Describe what remedial measure you would take to address autocorrelation if it were found. Provide examples to support your response.

Chapter 10

Problems 10.10, 10.12, 10.13, and 10.17

Describe a situation in which autocorrelation might be present and which of the three methods of detecting autocorrelation you would leverage. Explain your rationale.
Describe what remedial measure you would take to address autocorrelation if it were found. Provide examples to support your response.

The post Chapter 10 Problems 10.10, 10.12, 10.13, and 10.17 Describe a situation in which autocorrelation might be present and which of the three methods of detecting autocorrelation you would leverage. Explain your rationale. Describe what remedial measure you would take to address autocorrelation if it were found. Provide examples to support your response. appeared first on superioressaypapers. ## Economics

Economics
Please complete questions for review #1-4 and problems and applications #1,7. Thank you.

The post Economics appeared first on superioressaypapers. ## address autocorrelation if it were found. Provide examples to support your response.

address autocorrelation if it were found. Provide examples to support your response.

Problems 10.10, 10.12, 10.13, and 10.17

Describe a situation in which autocorrelation might be present and which of the three methods of detecting autocorrelation you would leverage. Explain your rationale.
Describe what remedial measure you would take to address autocorrelation if it were found. Provide examples to support your response.

The post address autocorrelation if it were found. Provide examples to support your response. appeared first on superioressaypapers. ## Describe what remedial measure

Describe what remedial measure Chapter 10

Problems 10.10, 10.12, 10.13, and 10.17

Describe a situation in which autocorrelation might be present and which of the three methods of detecting autocorrelation you would leverage. Explain your rationale.
Describe what remedial measure you would take to address autocorrelation if it were found. Provide examples to support your response

The post Describe what remedial measure appeared first on superioressaypapers. ## Describe a situation in which autocorrelation might be present

Describe a situation in which autocorrelation might be presentChapter 10

Problems 10.10, 10.12, 10.13, and 10.17

Describe a situation in which autocorrelation might be present and which of the three methods of detecting autocorrelation you would leverage. Explain your rationale.
Describe what remedial measure you would take to address autocorrelation if it were found. Provide examples to support your response.

The post Describe a situation in which autocorrelation might be present appeared first on superioressaypapers. ## final exam

final exam

Need someone proficient with chapter 12-20 in the document I upload. I need you help me with Blaw final exam.=D if you are confident with those content please let me know=D the price is not the real price I pay you in the end.

The post final exam appeared first on superioressaypapers. ## Econometrics Problem

Econometrics Problem

Everything is in the attachment

The post Econometrics Problem appeared first on superioressaypapers. 