# SPSS Problem Set 4

Problem 1

– Write a brief explanation of the difference between one sample and two sample hypothesis testing.

Problem 2: Use the General Social Security Full Time data set (gssft.sav) to complete the following problem. (pic attached)

Test the hypothesis that for all full-time workers, the population value for average hours worked is 40 hours (variable hrs1). You will use the one-sample t-test. (pic attached)

1. What assumptions need to be met to use the one-sample t test? Do you think the data meet the assumptions?

2. What is the null hypothesis that you want to test? The alternative hypothesis?

3. Test the hypothesis, and write a brief summary of your conclusions.

4. Based on the 95% confidence interval for the mean difference, can you reject the null hypothesis that the average population value for hours is 43 hours? Explain.

Problem 3: t-test of means (two variables: testing sample measures as proxy for population in comparison to one another)

Use the Country dataset (country.sav) to complete the following problem. Test the hypothesis that the average life expectancy for males is the same as the average life expectancy for females (variables: lifeexpm and lifeexpf).

1. What is the null hypothesis? What is the alternative hypothesis?

2. Look at the distribution of the differences. Summarize your conclusions and state whether there is a statistical difference in life expectancies.

Problem 4 Use the 04 Cars (04cars.sav) dataset. Compute a new variable called markup = ((suggretail-dealercost)/dealercost)*100. You will use the “Transform>Compute Variable” dialog. You will test the hypothesis that Sports Cars have a higher markup than other cars.

1. Formulate the null hypothesis that you want to test. The alternative hypothesis?

2. Which type of t-test will be used to evaluate your hypothesis? Why are you choosing this method?

3. Test the hypothesis at a 95% confidence level and write a brief summary of your conclusions.

Problem 5 Testing of independent statistics (i.e., means) as proxies to population measures Use the School Salary data set (schoolsalary.sav). You are asked to investigate if male and female school superintendents earn the same pay? Salaries for 20 males and 17 females in a certain metropolitan area are given in the school salary dataset. At α = .01, were the mean superintendent salaries greater for men than for women?

1. State both hypotheses (Ho and Ha).

2. State the decision rule and sketch it as a bell curve diagram.

3. Conduct an independent t-test of the above hypothesis and state your findings.

After completing the problems:

– Copy the relevant SPSS output to a MS Word document. (You can simply copy and paste)

– Clearly number and label each problem in the document.

ALL DATA TABLES HAVE BEEN SCREENSHOT AND ATTACHED.[supanova_question]

## Forensic Response And Investigation Plan

Forensic Response And Investigation Plan.

STEP 3: Write A Forensic Response And Investigation Plan The GCU board has reviewed your response readiness plan and heard reports from business managers on the impacts of a network attack. Based on the information you provided, the managers of the GCU branches identified the consequences from the recent network attack, including the stoppage of workflow and ability to meet customer requests, a stoppage in communications (e-mail and web requests), and the loss of business credibility and public confidence. They are concerned that legal expenses may be incurred as part of the damage mitigation for this incident. Alarmed at the magnitude of these impacts, the board of directors asks you to report on how this attack may have happened, so the organization can do everything within its power to prevent similar attacks in the future.

The use of computers and electronic devices to aid in the commission of crimes has seen explosive year-over-year growth. The risk/reward potential for criminals in this environment is high compared to many other types of crimes. One tool of choice for criminals is malware, whether for theft of personal information, computing resources, or other forms of mischief. Most organizations cease their effort once they have removed a malware threat or removed an infection. The trend in malware is toward memory-resident payloads, often with little or no footprint beyond active memory, creating a complex situation where a minor slip-up can ruin any chance at proper analysis. Obtaining malware artifacts from the wild is an elite skill that very few people possess, particularly when it is memory-based. Malware forensics uses digital forensic tools and techniques, including using imaging programs to analyze compromised resources, the application of imaging and verification procedures on user accounts, and using e-mail forensics and encryption forensics to answer key questions. Organizations that outsource the storage of large volumes of data may require cloud/GIS forensics and/or analysis of third party applications when bring-your-own-device (BYOD) practices are in effect. The forensic response and investigation plan should apply best practices in digital forensics to guide the GCU leadership in effectively responding to a future incident. Your goal in constructing this plan is to go much further than your original analysis and explain in detail how to perform a full malware analysis of the incident.

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## Unit II Case Study (material attached) For this assignment, read the case study, “Eastern Gear, Inc.” on pages 417-419 of your textbook.Your response must be a minimum of two full pages, double-spaced. References must include your textbook plus a minimum

SPSS Problem Set 4 Unit II Case Study (material attached) For this assignment, read the case study, “Eastern Gear, Inc.” on pages 417-419 of your textbook.Your response must be a minimum of two full pages, double-spaced. References must include your textbook plus a minimum.

Unit II Case Study (material attached)
For this assignment, read the case study, “Eastern Gear, Inc.” on pages 417-419 of your textbook. Once you have read and reviewed the case scenario, respond to the following questions with thorough explanations and well-supported rationale:
1. Explain the problems, both current and future, that Eastern Gear faces.
2. Discuss how modification in process selection and advances in technology might affect Eastern Gear.
3. Compile a process flow analysis on Eastern Gear.
4. Recommend a course of action for Eastern Gear with respect to solving the problems you identified in question one.
Your response must be a minimum of two full pages, double-spaced. References must include your textbook plus a minimum of one additional credible reference. All sources used, including the textbook, must be referenced; paraphrased and quoted material must have accompanying citations. All references and citations used must be in APA style.

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## Media representation of Islam in west

Media representation of Islam in west.

Description Culture to cultures subject at Australian university of mass communications unit.

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## Marcus Aurelius, Meditations book, on human nature and death

Marcus Aurelius, Meditations book, on human nature and death.

Marcus Aurelius is concerned with the issue of death. He believes that eliminating our fear of death will help us attain a state of ataraxia, untroubled quietude. Write an essay in which you [a] discuss in detail at least 5 strategies used in Aurelius’ Meditations for calming the fear of death (2 pages), [b] show what his use of these strategies reveals about human nature (2 pages), and [c] discuss in detail several merits and limitations of his view and approach (2 pages).

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## Parties often seek to enforce contracts and resolve disputes through arbitration because of a number of perceived potential advantages over litigation: What is Arbitration? What are the advantages and disadvantages of arbitration v. court litigation?

Parties often seek to enforce contracts and resolve disputes through arbitration because of a number of perceived potential advantages over litigation: What is Arbitration? What are the advantages and disadvantages of arbitration v. court litigation?.

You will be expected to answer these questions by first explaining, in no more than 500 words what arbitration is and how it is different from litigation. In the second part of this assignment, which will have a maximum of 1000 words, you will need to argue EITHER that litigation has more advantages than litigation OR that arbitration has more advantages than litigation.

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## Regression analysis for site selection

Regression analysis for site selection.

Description Lab 3: Simple Regression Analysis Given a desire of a Retail Chain management team to develop a strategy to forecasting annual sales, the following data from a random sample of existing stores has been gathered: STORE SQUARE FOOTAGE ANNUAL SALES (\$) 1 1726.00 3681.00 2 1642.00 3895.00 3 2816.00 6653.00 4 5555.00 9543.00 5 1292.00 3418.00 6 2208.00 5563.00 7 1313.00 3660.00 8 1102.00 2694.00 9 3151.00 5468.00 10 1516.00 2898.00 11 5161.00 10674.00 12 4567.00 7585.00 13 5841.00 11760.00 14 3008.00 4085.00 Enter the variable names as follows: Next, by clicking on ‘Data View’, we can enter the data: Assuming, for now, that if a relationship exists between the two variables, it is linear in nature, we can generate a simple Scatterplot (or Scatter Diagram) for the data. This is accomplished with the command sequence: Which yields the following (editable) scatterplot: We can generate a simple straight-line equation from the output resulting when using the Enter Command in regression: Regression Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Square Footageb . Enter a. Dependent Variable: Annual Sales in Dollars b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .954a .910 .902 \$936.850 a. Predictors: (Constant), Square Footage ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 106208119.686 1 106208119.686 121.009 .000b Residual 10532255.243 12 877687.937 Total 116740374.929 13 a. Dependent Variable: Annual Sales in Dollars b. Predictors: (Constant), Square Footage This is the intercept Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 901.247 513.023 1.757 .104 Square Footage 1.686 .153 .954 11.000 .000 This is the slope a. Dependent Variable: Annual Sales in Dollars How to write up regression: A linear regression was used to test the hypothesis that time in minutes would predict understanding. The overall model was significant in that R = .97, F(1, 222) = 579.32, p < .001. As time in minutes increased, understanding also increased. Regression Equation(y) = a + bx where x and y are the variables. b = The slope of the regression line a = The intercept point of the regression line and the y axis. X = First Score Y = Second Score you are predicting for Square footage: Please solve for the following square footage: x = 1. 300 2. 5000 3. 6000 4. 4498 5. 6600 6. 2200 7. 3450 8. 1700 9. 1000 10. 9000 Example: for number 1. Y = 901.247 + 1.686(300) 901.247 + 505.8 = \$1407.047

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## The last 100 years of European history.

The last 100 years of European history..

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## Mental health in the construction industry in the UK

Mental health in the construction industry in the UK.

Description