Brief reflection to answer the questions below. Write it as if you were writing to a prospective employer. Be as specific as you can: when discussing strengths and weaknesses.

# Category: Statistics homework help

Brief reflection to answer the questions below. Write it as if you were writing to a prospective employer. Be as specific as you can: when discussing strengths and weaknesses.

Upload the Excel data file Dataset BUS 770a Business Research Methods xlsx in a quantitative research tool. The data file is located in GAP under Week Seven. Complete the following tasks and copy your results in a word document and submit your report.

Create frequency table for the variable Distance From School

Use the Recode into Same Variables command to assign ascending numerical values to distances. (Note: highest numerical value should be assigned to Other OutofState)

Create value labels corresponding to numerical values, change the Type of the variable to Numeric and change the Measure to Ordinal. Rerun the frequencies command

Create standardized values for the HSGPA variable. Report key descriptive statistics for this variable. Make sure your report table includes measures of Kurtosis and Skewness.

Create a histogram for HSGPA. Based on your visual inspection and measures of Kurtosis and Skewness, what is your conclusion regarding the shape of the distribution?

Create a cross tabulation of Retained vs Received Financial Aid. Of the students who had received financial aid, what percentage were retained?

Test the following hypothesis at 95% confidence level:

H0: Overall GPA of students in the sample is equal to 3.0755

HA: Overall GPA of students in the sample is different than 3.0755

Test the following hypothesis at 95% confidence level:

H0: Overall GPA of students in the sample is greater than 3.0755

HA: Overall GPA of students in the sample is less than or equal to 3.0755

Conduct a test on the number of Infirmary Visits using the following hypothesis:

H0: The likelihood of infirmary visits is equal for students who visit the infirmary between one and six times.

HA: The likelihood of infirmary visits is not equal for students who visit the infirmary between one and six times.

Upload the Excel data file Dataset BUS 770a Business Research Methods xlsx in a quantitative research tool. The data file is located in GAP under Week Seven. Complete the following tasks and copy your results in a word document and submit your report.

Create frequency table for the variable Distance From School

Use the Recode into Same Variables command to assign ascending numerical values to distances. (Note: highest numerical value should be assigned to Other OutofState)

Create value labels corresponding to numerical values, change the Type of the variable to Numeric and change the Measure to Ordinal. Rerun the frequencies command

Create standardized values for the HSGPA variable. Report key descriptive statistics for this variable. Make sure your report table includes measures of Kurtosis and Skewness.

Create a histogram for HSGPA. Based on your visual inspection and measures of Kurtosis and Skewness, what is your conclusion regarding the shape of the distribution?

Create a cross tabulation of Retained vs Received Financial Aid. Of the students who had received financial aid, what percentage were retained?

Test the following hypothesis at 95% confidence level:

H0: Overall GPA of students in the sample is equal to 3.0755

HA: Overall GPA of students in the sample is different than 3.0755

Test the following hypothesis at 95% confidence level:

H0: Overall GPA of students in the sample is greater than 3.0755

HA: Overall GPA of students in the sample is less than or equal to 3.0755

Conduct a test on the number of Infirmary Visits using the following hypothesis:

H0: The likelihood of infirmary visits is equal for students who visit the infirmary between one and six times.

HA: The likelihood of infirmary visits is not equal for students who visit the infirmary between one and six times.

In this week’s readings, you learned about the major contributors to the development of total quality management (TQM). Some of the methods that each developed are more suited to one application versus another. Select three contributors from the list shown here whose TQM methods could be readily applied to the daily business and medical operations of a medical center or hospital.

Philip Crosby.

Dr. W. Edwards Deming.

Armand Feigenbaum.

Dr. Joseph M. Juran.

Prof. Kaoru Ishikawa.

Genichi Taguchi.

Musaaki Imai.

In a Word document:

Describe two of the contributions to the development of TQM for each of the three individuals you selected.

Apply each of the contributions to a specific situation in the operations of a medical center or hospital. Include examples from both the medical and business operations to illustrate the use of TQM.

Review the tutorial in the unit study, which demonstrates t tests using two different scenarios. Then determine which type of t test to conduct. Once you have determined that, answer the following:What is the sample size?

What is the sample mean of each group?

Identify the following factors based on the table you develop in SPSS:Mean difference.

T obtained (t).

Degrees of freedom (df).

Significance (two-tailed).

Write a brief narrative explaining the implications of your findings based on the value of the test statistic:Would you retain or reject the null hypothesis?

What are limitations that must be considered in interpreting the results?

Review the tutorial in the unit study, which demonstrates t tests using two different scenarios. Then determine which type of t test to conduct. Once you have determined that, answer the following:What is the sample size?

What is the sample mean of each group?

Identify the following factors based on the table you develop in SPSS:Mean difference.

T obtained (t).

Degrees of freedom (df).

Significance (two-tailed).

Write a brief narrative explaining the implications of your findings based on the value of the test statistic:Would you retain or reject the null hypothesis?

What are limitations that must be considered in interpreting the results?

Write a paragraph to explain your results. State you guess and the computed probability of success from Project #2. Show the formulas you used to compute the 90%, 95% and the 99% confidence intervals, and state each confidence interval. Explain if any of these intervals contain your original guess. Do you consider your original guess accurate or inaccurate?

Write a paragraph to explain your results. State you guess and the computed probability of success from Project #2. Show the formulas you used to compute the 90%, 95% and the 99% confidence intervals, and state each confidence interval. Explain if any of these intervals contain your original guess. Do you consider your original guess accurate or inaccurate?

In this week’s readings, you learned about the major contributors to the development of total quality management (TQM). Some of the methods that each developed are more suited to one application versus another. Select three contributors from the list shown here whose TQM methods could be readily applied to the daily business and medical operations of a medical center or hospital.

Philip Crosby.

Dr. W. Edwards Deming.

Armand Feigenbaum.

Dr. Joseph M. Juran.

Prof. Kaoru Ishikawa.

Genichi Taguchi.

Musaaki Imai.

In a Word document:

Describe two of the contributions to the development of TQM for each of the three individuals you selected.

Apply each of the contributions to a specific situation in the operations of a medical center or hospital. Include examples from both the medical and business operations to illustrate the use of TQM.