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What are the main reasons why a VPN is the right solution for protecting the network perimeter? Do they also

What are the main reasons why a VPN is the right solution for protecting the network perimeter? Do they also provide protection for mobile devices? If you do use a VPN, which one and why did you select that particular one?  The post should be in a 750-word limit. must and should be in APA format with references and citations. Plagiarism free.

For this assignment, you will need to perform a quantitative analysis of the below scenario.  Please write your response in

For this assignment, you will need to perform a quantitative analysis of the below scenario.  Please write your response in a brief APA formatted report. Quantitative Analysis You are the manager of desktop support for NASA.  You are responsible for purchasing and managing all of the laptops NASA distributes to employees.  There are 700 laptops currently in service.  All of the laptops randomly leave the building and serve a mobile workforce.  Read the following articles your CIO brought to you for consideration: http://www.pcworld.com/article/251318/48_nasa_laptops_stolen_in_two_years_a_case_for_better_encryption_practices.html http://www.pcworld.com/article/181124/laptops_that_go_ghost.html Compute the SLE, ARO, ALE and safeguard value based on the information in these articles for a report your CIO plans to submit as a solution.  For the safeguard value, find and price an appropriate physical and software solution(s) to safeguard theft and data loss.  Once you pick a product, include a link to the page for pricing and item description.  Present the realized savings in your report and the benefits of the solution you choose for safeguarding the laptops.  Don’t forget to include your equations for ARO, ALE, safeguard value and realized savings calculations.

This is a question you should (and will be) asking yourself as you take on a security officer role. Quite honestly,

This is a question you should (and will be) asking yourself as you take on a security officer role. Quite honestly, this statement could become your undoing if you do not think it through or try to avoid answering such a question; however, the extreme “voice of doom” is not one you will be visiting very often. You should be evaluating the possible circumstances and ask yourself the above question as it pertains to something that could happen, such as a fire or user error.  For this exercise,  should think about a local company (one which you work or have worked) or a fake marketing firm in Kansas City Missouri. Ask yourself this question as you think through what they have and what could be lost. Think of a minimum of 7 threats to this network (one for each of the 7 IT Infrastructure Domains [pg.7]) and describe “What’s the Worst That Could Happen?” if these threats came true. For the threats, you should think of 5 within the realm of possibility and 2 on the fringe of possibilities.  For this assignment, you will need to perform a qualitative analysis on the below scenario.  Please write your response in a spreadsheet. Qualitative Analysis For this part of the assignment, you can use the work you performed for last week.  Take those 7 risks and arrange them into a spreadsheet.  Perform a probability assessment and write about the impact of the risk for each of the 7, based on the geographical location of last week’s assignment.  Use the following format: *****See the attachment for the format*****

Chapter 4 presented the approach Statoil, Inc (Test book page 59) used to implement ERM. Chapter 7 (page 107) presented

Computer ScienceChapter 4 presented the approach Statoil, Inc (Test book page 59) used to implement ERM. Chapter 7 (page 107) presented the approach United Grain Growers used to implement ERM. Compare the two use cases and discuss similarities and differences. Do you agree with the approaches to implement an ERM and why? If you could change anything about the reasons to implement ERM in these case studies what would that be and why? Would you implement the same ERM approaches in your current organization (or future organization)? Note: The paper should be a minimum of 2 to 3 pages not including title or reference page and in APA format.

X1 in the EXCEL file corresponds to question 1. X15 corresponds to question 15 etc. You must complete these analytic functions for

X1 in the EXCEL file corresponds to question 1. X15 corresponds to question 15 etc. You must complete these analytic functions for all 59 questions: X1 – X59. Descriptive Statistics Histogram (bar chart) with Frequency Distribution Table and Pie Chart with labels Correlation Regression The data is coded. For some questions the coding is 1-10 for an interval scale and others 1-5 for a 5 point Likert scale. Not all scales in this questionnaire have the same descriptors. You must read the questionnaire. It is impossible to interpret the data without referring to the questionnaire. Some questions include scales that use these 5 descriptors (Strongly Agree, Agree Undecided, Disagree, Strongly Disagree) and other questions include scales that use 5 different descriptors. Descriptive Statistics You will use EXCEL to generate the Descriptive Statistics for all variables: X1 – X59. You must interpret and in explain in words the Mean. Histograms You will create histograms (bar charts) with frequency distribution tables and pie charts with labels. Labels are important since color coded pie slices may not always be viewed in color. After clicking DATA, DATA ANALYSIS, and then HISTOGRAM EXCEL will ask you for input and the BIN. You will need to create a table in EXCEL which lists the coding for the Bin Input. The BIN is 1, 2, 3, 4, 5 for some questions and you should include the descriptors Strongly Agree, Agree, Undecided, Disagree, Strongly Disagree, and Not Applicable. For other questions the BIN will be 1, 2, 3, 4, 5, 6, 7, 8, 9, 10. Correlation Determine the Pearson Correlation Coefficient for: Gender and Satisfaction with Your Car (X16) Gender and Color (X22) Place of Birth and Employment Status   Regression Use EXCEL to generate a regression analysis for: Dependent Variable: X 16 – Level of Satisfaction Independent Variables: X17, X18, X19, X20, X21, X22, X23, X24 and X25.

Discussion 1 Crypto  Write 500 words that respond to the following questions:   Explain how can we use Hash function to

Discussion 1 Crypto  Write 500 words that respond to the following questions:   Explain how can we use Hash function to ensure the security of online communication? How can we use Hash functions for intrusion and virus detections? Provide real life examples support your initial post. Be in APA format including your references. Be 500 words long (not including title and references). Do not re-state the questions. Include two sources (i.e. two references). Discussion 2 Operation Security  Some organizations keep documents in Word format and publish them in PDF format. Other organizations use tools like Governance, Risk, and Compliance (GRC). What makes one type of tool better than the other? Be in APA format including your references. Be 500 words long (not including title and references). Do not re-state the questions. Include two sources (i.e. two references).

Figure 9.1 shows the six stages of process development.  Can you explain the six and how they can apply to your daily

Figure 9.1 shows the six stages of process development.  Can you explain the six and how they can apply to your daily life?  Additionally, there is a dotted line between Policy evaluation and production identification, Policy evaluation and Policy implement, and Policy evaluation and Policy formulation.  Can you explain this line and why they are important? Please make your post substantive. A substantive post will do at least TWO of the following: Ask an interesting, thoughtful question pertaining to the topic Answer a question (in detail) posted by another student or the instructor Provide extensive additional information on the topic Explain, define, or analyze the topic in detail Share an applicable personal experience Provide an outside source that applies to the topic, along with additional information about the topic or the source (please cite properly in APA) Make an argument concerning the topic. At two scholarly sources should be used . Be sure to use information from your readings and other sources . Use proper citations and references in your post.

FREQUENCIES VARIABLES=x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14 x15 x16 x17 x18 x19

FREQUENCIES VARIABLES=x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14 x15 x16 x17 x18 x19 x20 x21 x22 x23 x24 x25 x26 x27 x28 x29 /STATISTICS=MEAN MEDIAN MODE /ORDER=ANALYSIS. Frequencies Statistics X1 — Try New and Different Things X2 — Party Person X3 — People Come to Me X4 — Avoid Fried Foods X5 — Likes to Go Out Socially N Valid 377 377 377 377 377 Missing 0 0 0 0 0 Mean 5.44 4.30 5.27 4.07 4.44 Median 7.00 4.00 5.00 4.00 4.00 Mode 7 4 5 3 4 Statistics X6 — Friends Come to Me X7 — Self-Confident X8 — Eat Balanced, Nutritious Meals X9 — Buy New Products X10 — Careful about What I Eat N Valid 377 377 377 377 377 Missing 0 0 0 0 0 Mean 5.31 4.68 4.53 5.66 4.42 Median 5.00 5.00 5.00 6.00 4.00 Mode 5 5 5 7 4 Statistics X11 — Try New Brands X12 — Friendly Employees X13 — Fun Place to Eat X14 — Large Size Portions X15 — Fresh Food N Valid 377 377 377 377 377 Missing 0 0 0 0 0 Mean 5.47 3.69 4.59 4.50 5.79 Median 7.00 4.00 5.00 5.00 6.00 Mode 7 5 5 6 7 Statistics X16 — Reasonable Prices X17 — Attractive Interior X18 — Excellent Food Taste X19 — Knowledgeable Employees X20 — Proper Food Temperature N Valid 377 377 377 377 377 Missing 0 0 0 0 0 Mean 4.33 4.67 5.34 3.59 4.53 Median 4.00 5.00 5.00 4.00 5.00 Mode 4 5 5 4 5 Statistics X21 — Speed of Service X22 — Satisfaction X23 — Likely to Return X24 — Likely to Recommend X25 — Frequency of Eating at . . . ?? N Valid 377 377 377 377 377 Missing 0 0 0 0 0 Mean 5.25 4.84 4.48 3.78 3.26 Median 7.00 5.00 4.00 4.00 3.00 Mode 7 4 4 4 3 Statistics X26 — Price X27 — Food Quality X28 — Atmosphere X29 — Service N Valid 377 377 377 377 Missing 0 0 0 0 Mean 2.31 1.63 3.32 2.76 Median 2.00 1.00 3.00 3.00 Mode 1 1 3 2 Frequency Table X1 — Try New and Different Things Frequency Percent Valid Percent Cumulative Percent Valid 2 6 1.6 1.6 1.6 3 96 25.5 25.5 27.1 4 58 15.4 15.4 42.4 Strongly Agree 217 57.6 57.6 100.0 Total 377 100.0 100.0 X2 — Party Person Frequency Percent Valid Percent Cumulative Percent Valid 2 10 2.7 2.7 2.7 3 65 17.2 17.2 19.9 4 156 41.4 41.4 61.3 5 107 28.4 28.4 89.7 6 27 7.2 7.2 96.8 Strongly Agree 12 3.2 3.2 100.0 Total 377 100.0 100.0 X3 — People Come to Me Frequency Percent Valid Percent Cumulative Percent Valid 2 1 .3 .3 .3 3 35 9.3 9.3 9.5 4 62 16.4 16.4 26.0 5 109 28.9 28.9 54.9 6 104 27.6 27.6 82.5 Strongly Agree 66 17.5 17.5 100.0 Total 377 100.0 100.0 X4 — Avoid Fried Foods Frequency Percent Valid Percent Cumulative Percent Valid 2 42 11.1 11.1 11.1 3 113 30.0 30.0 41.1 4 65 17.2 17.2 58.4 5 89 23.6 23.6 82.0 6 68 18.0 18.0 100.0 Total 377 100.0 100.0 X5 — Likes to Go Out Socially Frequency Percent Valid Percent Cumulative Percent Valid 2 17 4.5 4.5 4.5 3 46 12.2 12.2 16.7 4 146 38.7 38.7 55.4 5 110 29.2 29.2 84.6 6 39 10.3 10.3 95.0 Strongly Agree 19 5.0 5.0 100.0 Total 377 100.0 100.0 X6 — Friends Come to Me Frequency Percent Valid Percent Cumulative Percent Valid 3 32 8.5 8.5 8.5 4 52 13.8 13.8 22.3 5 124 32.9 32.9 55.2 6 106 28.1 28.1 83.3 Strongly Agree 63 16.7 16.7 100.0 Total 377 100.0 100.0 X7 — Self-Confident Frequency Percent Valid Percent Cumulative Percent Valid 2 17 4.5 4.5 4.5 3 55 14.6 14.6 19.1 4 78 20.7 20.7 39.8 5 126 33.4 33.4 73.2 6 85 22.5 22.5 95.8 Strongly Agree 16 4.2 4.2 100.0 Total 377 100.0 100.0 X8 — Eat Balanced, Nutritious Meals Frequency Percent Valid Percent Cumulative Percent Valid 2 17 4.5 4.5 4.5 3 73 19.4 19.4 23.9 4 84 22.3 22.3 46.2 5 109 28.9 28.9 75.1 6 83 22.0 22.0 97.1 Strongly Agree 11 2.9 2.9 100.0 Total 377 100.0 100.0 X9 — Buy New Products Frequency Percent Valid Percent Cumulative Percent Valid Strongly Disagree 1 .3 .3 .3 2 2 .5 .5 .8 3 50 13.3 13.3 14.1 4 77 20.4 20.4 34.5 6 60 15.9 15.9 50.4 Strongly Agree 187 49.6 49.6 100.0 Total 377 100.0 100.0 X10 — Careful about What I Eat Frequency Percent Valid Percent Cumulative Percent Valid 2 11 2.9 2.9 2.9 3 64 17.0 17.0 19.9 4 134 35.5 35.5 55.4 5 103 27.3 27.3 82.8 6 54 14.3 14.3 97.1 Strongly Agree 11 2.9 2.9 100.0 Total 377 100.0 100.0 X11 — Try New Brands Frequency Percent Valid Percent Cumulative Percent Valid 3 77 20.4 20.4 20.4 4 90 23.9 23.9 44.3 Strongly Agree 210 55.7 55.7 100.0 Total 377 100.0 100.0 X12 — Friendly Employees Frequency Percent Valid Percent Cumulative Percent Valid Strongly Disagree 6 1.6 1.6 1.6 2 90 23.9 23.9 25.5 3 46 12.2 12.2 37.7 4 107 28.4 28.4 66.0 5 128 34.0 34.0 100.0 Total 377 100.0 100.0 X13 — Fun Place to Eat Frequency Percent Valid Percent Cumulative Percent Valid 2 6 1.6 1.6 1.6 3 33 8.8 8.8 10.3 4 126 33.4 33.4 43.8 5 158 41.9 41.9 85.7 6 54 14.3 14.3 100.0 Total 377 100.0 100.0 X14 — Large Size Portions Frequency Percent Valid Percent Cumulative Percent Valid 2 32 8.5 8.5 8.5 3 61 16.2 16.2 24.7 4 91 24.1 24.1 48.8 5 73 19.4 19.4 68.2 6 120 31.8 31.8 100.0 Total 377 100.0 100.0 X15 — Fresh Food Frequency Percent Valid Percent Cumulative Percent Valid 4 76 20.2 20.2 20.2 5 84 22.3 22.3 42.4 6 59 15.6 15.6 58.1 Strongly Agree 158 41.9 41.9 100.0 Total 377 100.0 100.0 X16 — Reasonable Prices Frequency Percent Valid Percent Cumulative Percent Valid 2 32 8.5 8.5 8.5 3 61 16.2 16.2 24.7 4 119 31.6 31.6 56.2 5 79 21.0 21.0 77.2 6 86 22.8 22.8 100.0 Total 377 100.0 100.0 X17 — Attractive Interior Frequency Percent Valid Percent Cumulative Percent Valid 2 6 1.6 1.6 1.6 3 49 13.0 13.0 14.6 4 90 23.9 23.9 38.5 5 156 41.4 41.4 79.8 6 71 18.8 18.8 98.7 Strongly Agree 5 1.3 1.3 100.0 Total 377 100.0 100.0 X18 — Excellent Food Taste Frequency Percent Valid Percent Cumulative Percent Valid 3 11 2.9 2.9 2.9 4 79 21.0 21.0 23.9 5 126 33.4 33.4 57.3 6 92 24.4 24.4 81.7 Strongly Agree 69 18.3 18.3 100.0 Total 377 100.0 100.0 X19 — Knowledgeable Employees Frequency Percent Valid Percent Cumulative Percent Valid Strongly Disagree 30 8.0 8.0 8.0 2 63 16.7 16.7 24.7 3 76 20.2 20.2 44.8 4 151 40.1 40.1 84.9 6 34 9.0 9.0 93.9 Strongly Agree 23 6.1 6.1 100.0 Total 377 100.0 100.0 X20 — Proper Food Temperature Frequency Percent Valid Percent Cumulative Percent Valid 2 12 3.2 3.2 3.2 3 77 20.4 20.4 23.6 4 76 20.2 20.2 43.8 5 137 36.3 36.3 80.1 6 63 16.7 16.7 96.8 Strongly Agree 12 3.2 3.2 100.0 Total 377 100.0 100.0 X21 — Speed of Service Frequency Percent Valid Percent Cumulative Percent Valid Strongly Disagree 14 3.7 3.7 3.7 2 28 7.4 7.4 11.1 3 55 14.6 14.6 25.7 4 71 18.8 18.8 44.6 6 1 .3 .3 44.8 Strongly Agree 208 55.2 55.2 100.0 Total 377 100.0 100.0 X22 — Satisfaction Frequency Percent Valid Percent Cumulative Percent Valid 3 35 9.3 9.3 9.3 4 137 36.3 36.3 45.6 5 89 23.6 23.6 69.2 6 85 22.5 22.5 91.8 7 = Highly Satisfied 31 8.2 8.2 100.0 Total 377 100.0 100.0 X23 — Likely to Return Frequency Percent Valid Percent Cumulative Percent Valid 2 5 1.3 1.3 1.3 3 71 18.8 18.8 20.2 4 131 34.7 34.7 54.9 5 89 23.6 23.6 78.5 6 71 18.8 18.8 97.3 Highly Likely 10 2.7 2.7 100.0 Total 377 100.0 100.0 X24 — Likely to Recommend Frequency Percent Valid Percent Cumulative Percent Valid 2 57 15.1 15.1 15.1 3 108 28.6 28.6 43.8 4 111 29.4 29.4 73.2 5 68 18.0 18.0 91.2 6 27 7.2 7.2 98.4 Definitely Will Recommend 6 1.6 1.6 100.0 Total 377 100.0 100.0 X25 — Frequency of Eating at . . . ?? Frequency Percent Valid Percent Cumulative Percent Valid Very Infrequently 46 12.2 12.2 12.2 Somewhat Infrequently 64 17.0 17.0 29.2 Occasionally 98 26.0 26.0 55.2 Somewhat Frequently 84 22.3 22.3 77.5 Very Frequently 85 22.5 22.5 100.0 Total 377 100.0 100.0 X26 — Price Frequency Percent Valid Percent Cumulative Percent Valid Most Important 127 33.7 33.7 33.7 2 88 23.3 23.3 57.0 3 80 21.2 21.2 78.2 Least Important 82 21.8 21.8 100.0 Total 377 100.0 100.0 X27 — Food Quality Frequency Percent Valid Percent Cumulative Percent Valid Most Important 201 53.3 53.3 53.3 2 118 31.3 31.3 84.6 3 56 14.9 14.9 99.5 Least Important 2 .5 .5 100.0 Total 377 100.0 100.0 X28 — Atmosphere Frequency Percent Valid Percent Cumulative Percent Valid Most Important 12 3.2 3.2 3.2 2 20 5.3 5.3 8.5 3 180 47.7 47.7 56.2 Least Important 165 43.8 43.8 100.0 Total 377 100.0 100.0 X29 — Service Frequency Percent Valid Percent Cumulative Percent Valid Most Important 37 9.8 9.8 9.8 2 148 39.3 39.3 49.1 3 62 16.4 16.4 65.5 Least Important 130 34.5 34.5 100.0 Total 377 100.0 100.0 DESCRIPTIVES VARIABLES=x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14 x15 x16 x17 x18 x19 x20 x21 x22 x23 x24 x25 x26 x27 x28 x29 /STATISTICS=MEAN STDDEV VARIANCE MIN MAX. Descriptives Descriptive Statistics N Minimum Maximum Mean Std. Deviation Variance X1 — Try New and Different Things 377 2 7 5.44 1.853 3.433 X2 — Party Person 377 2 7 4.30 1.025 1.050 X3 — People Come to Me 377 2 7 5.27 1.212 1.468 X4 — Avoid Fried Foods 377 2 6 4.07 1.305 1.702 X5 — Likes to Go Out Socially 377 2 7 4.44 1.128 1.273 X6 — Friends Come to Me 377 3 7 5.31 1.156 1.336 X7 — Self-Confident 377 2 7 4.68 1.221 1.491 X8 — Eat Balanced, Nutritious Meals 377 2 7 4.53 1.235 1.526 X9 — Buy New Products 377 1 7 5.66 1.596 2.546 X10 — Careful about What I Eat 377 2 7 4.42 1.106 1.223 X11 — Try New Brands 377 3 7 5.47 1.753 3.074 X12 — Friendly Employees 377 1 5 3.69 1.212 1.469 X13 — Fun Place to Eat 377 2 6 4.59 .895 .802 X14 — Large Size Portions 377 2 6 4.50 1.313 1.724 X15 — Fresh Food 377 4 7 5.79 1.187 1.409 X16 — Reasonable Prices 377 2 6 4.33 1.231 1.516 X17 — Attractive Interior 377 2 7 4.67 1.018 1.036 X18 — Excellent Food Taste 377 3 7 5.34 1.090 1.188 X19 — Knowledgeable Employees 377 1 7 3.59 1.527 2.333 X20 — Proper Food Temperature 377 2 7 4.53 1.174 1.378 X21 — Speed of Service 377 1 7 5.25 2.047 4.190 X22 — Satisfaction 377 3 7 4.84 1.126 1.267 X23 — Likely to Return 377 2 7 4.48 1.116 1.245 X24 — Likely to Recommend 377 2 7 3.78 1.207 1.458 X25 — Frequency of Eating at . . . ?? 377 1 5 3.26 1.311 1.719 X26 — Price 377 1 4 2.31 1.152 1.326 X27 — Food Quality 377 1 4 1.63 .751 .565 X28 — Atmosphere 377 1 4 3.32 .719 .516 X29 — Service 377 1 4 2.76 1.036 1.073 Valid N (listwise) 377 CROSSTABS /TABLES=x5 BY x32 /FORMAT=AVALUE TABLES /CELLS=COUNT /COUNT ROUND CELL. Crosstabs Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent X5 — Likes to Go Out Socially * X32 — Gender 377 100.0% 0 0.0% 377 100.0% X5 — Likes to Go Out Socially * X32 — Gender Crosstabulation Count X32 — Gender Total Male Female X5 — Likes to Go Out Socially 2 16 1 17 3 31 15 46 4 102 44 146 5 59 51 110 6 22 17 39 Strongly Agree 15 4 19 Total 245 132 377 CROSSTABS /TABLES=x10 BY x32 /FORMAT=AVALUE TABLES /CELLS=COUNT /COUNT ROUND CELL. Crosstabs Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent X10 — Careful about What I Eat * X32 — Gender 377 100.0% 0 0.0% 377 100.0% X10 — Careful about What I Eat * X32 — Gender Crosstabulation Count X32 — Gender Total Male Female X10 — Careful about What I Eat 2 6 5 11 3 30 34 64 4 94 40 134 5 73 30 103 6 42 12 54 Strongly Agree 0 11 11 Total 245 132 377 CROSSTABS /TABLES=x10 BY x26 /FORMAT=AVALUE TABLES /CELLS=COUNT /COUNT ROUND CELL. Crosstabs Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent X10 — Careful about What I Eat * X26 — Price 377 100.0% 0 0.0% 377 100.0% X10 — Careful about What I Eat * X26 — Price Crosstabulation Count X26 — Price Most Important 2 3 Least Important X10 — Careful about What I Eat 2 4 2 1 4 3 36 5 15 8 4 31 32 36 35 5 46 33 16 8 6 10 16 10 18 Strongly Agree 0 0 2 9 Total 127 88 80 82 X10 — Careful about What I Eat * X26 — Price Crosstabulation Count Total X10 — Careful about What I Eat 2 11 3 64 4 134 5 103 6 54 Strongly Agree 11 Total 377 CORRELATIONS /VARIABLES=x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Correlations Correlations X1 — Try New and Different Things X2 — Party Person X3 — People Come to Me X4 — Avoid Fried Foods X1 — Try New and Different Things Pearson Correlation 1 .369** .121* -.274** Sig. (2-tailed) .000 .018 .000 N 377 377 377 377 X2 — Party Person Pearson Correlation .369** 1 .208** -.405** Sig. (2-tailed) .000 .000 .000 N 377 377 377 377 X3 — People Come to Me Pearson Correlation .121* .208** 1 -.152** Sig. (2-tailed) .018 .000 .003 N 377 377 377 377 X4 — Avoid Fried Foods Pearson Correlation -.274** -.405** -.152** 1 Sig. (2-tailed) .000 .000 .003 N 377 377 377 377 X5 — Likes to Go Out Socially Pearson Correlation .302** .711** .066 -.309** Sig. (2-tailed) .000 .000 .203 .000 N 377 377 377 377 X6 — Friends Come to Me Pearson Correlation .104* .179** .794** -.139** Sig. (2-tailed) .043 .000 .000 .007 N 377 377 377 377 X7 — Self-Confident Pearson Correlation .204** .215** .458** -.160** Sig. (2-tailed) .000 .000 .000 .002 N 377 377 377 377 X8 — Eat Balanced, Nutritious Meals Pearson Correlation -.157** -.403** -.131* .791** Sig. (2-tailed) .002 .000 .011 .000 N 377 377 377 377 X9 — Buy New Products Pearson Correlation .688** .304** .144** -.310** Sig. (2-tailed) .000 .000 .005 .000 N 377 377 377 377 X10 — Careful about What I Eat Pearson Correlation -.041 -.235** -.084 .666** Sig. (2-tailed) .428 .000 .103 .000 N 377 377 377 377 Correlations X5 — Likes to Go Out Socially X6 — Friends Come to Me X7 — Self-Confident X8 — Eat Balanced, Nutritious Meals X1 — Try New and Different Things Pearson Correlation .302** .104* .204** -.157** Sig. (2-tailed) .000 .043 .000 .002 N 377 377 377 377 X2 — Party Person Pearson Correlation .711** .179** .215** -.403** Sig. (2-tailed) .000 .000 .000 .000 N 377 377 377 377 X3 — People Come to Me Pearson Correlation .066 .794** .458** -.131* Sig. (2-tailed) .203 .000 .000 .011 N 377 377 377 377 X4 — Avoid Fried Foods Pearson Correlation -.309** -.139** -.160** .791** Sig. (2-tailed) .000 .007 .002 .000 N 377 377 377 377 X5 — Likes to Go Out Socially Pearson Correlation 1 .013 .101* -.362** Sig. (2-tailed) .806 .050 .000 N 377 377 377 377 X6 — Friends Come to Me Pearson Correlation .013 1 .342** -.152** Sig. (2-tailed) .806 .000 .003 N 377 377 377 377 X7 — Self-Confident Pearson Correlation .101* .342** 1 -.102* Sig. (2-tailed) .050 .000 .047 N 377 377 377 377 X8 — Eat Balanced, Nutritious Meals Pearson Correlation -.362** -.152** -.102* 1 Sig. (2-tailed) .000 .003 .047 N 377 377 377 377 X9 — Buy New Products Pearson Correlation .239** .172** .187** -.327** Sig. (2-tailed) .000 .001 .000 .000 N 377 377 377 377 X10 — Careful about What I Eat Pearson Correlation -.171** -.095 -.067 .732** Sig. (2-tailed) .001 .066 .196 .000 N 377 377 377 377 Correlations X9 — Buy New Products X10 — Careful about What I Eat X1 — Try New and Different Things Pearson Correlation .688** -.041 Sig. (2-tailed) .000 .428 N 377 377 X2 — Party Person Pearson Correlation .304** -.235** Sig. (2-tailed) .000 .000 N 377 377 X3 — People Come to Me Pearson Correlation .144** -.084 Sig. (2-tailed) .005 .103 N 377 377 X4 — Avoid Fried Foods Pearson Correlation -.310** .666** Sig. (2-tailed) .000 .000 N 377 377 X5 — Likes to Go Out Socially Pearson Correlation .239** -.171** Sig. (2-tailed) .000 .001 N 377 377 X6 — Friends Come to Me Pearson Correlation .172** -.095 Sig. (2-tailed) .001 .066 N 377 377 X7 — Self-Confident Pearson Correlation .187** -.067 Sig. (2-tailed) .000 .196 N 377 377 X8 — Eat Balanced, Nutritious Meals Pearson Correlation -.327** .732** Sig. (2-tailed) .000 .000 N 377 377 X9 — Buy New Products Pearson Correlation 1 -.189** Sig. (2-tailed) .000 N 377 377 X10 — Careful about What I Eat Pearson Correlation -.189** 1 Sig. (2-tailed) .000 N 377 377 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). CORRELATIONS /VARIABLES=x11 x12 x13 x14 x15 x16 x17 x18 x19 x20 /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Correlations Correlations X11 — Try New Brands X12 — Friendly Employees X13 — Fun Place to Eat X14 — Large Size Portions X11 — Try New Brands Pearson Correlation 1 .804** -.048 .011 Sig. (2-tailed) .000 .355 .836 N 377 377 377 377 X12 — Friendly Employees Pearson Correlation .804** 1 -.130* -.040 Sig. (2-tailed) .000 .012 .435 N 377 377 377 377 X13 — Fun Place to Eat Pearson Correlation -.048 -.130* 1 .395** Sig. (2-tailed) .355 .012 .000 N 377 377 377 377 X14 — Large Size Portions Pearson Correlation .011 -.040 .395** 1 Sig. (2-tailed) .836 .435 .000 N 377 377 377 377 X15 — Fresh Food Pearson Correlation .101* .392** -.028 .112* Sig. (2-tailed) .049 .000 .585 .029 N 377 377 377 377 X16 — Reasonable Prices Pearson Correlation -.027 -.049 .386** .959** Sig. (2-tailed) .603 .347 .000 .000 N 377 377 377 377 X17 — Attractive Interior Pearson Correlation -.044 -.109* .675** .287** Sig. (2-tailed) .392 .035 .000 .000 N 377 377 377 377 X18 — Excellent Food Taste Pearson Correlation .147** .382** .036 .022 Sig. (2-tailed) .004 .000 .480 .675 N 377 377 377 377 X19 — Knowledgeable Employees Pearson Correlation .474** .622** .146** .085 Sig. (2-tailed) .000 .000 .005 .098 N 377 377 377 377 X20 — Proper Food Temperature Pearson Correlation .055 .037 .083 .064 Sig. (2-tailed) .287 .471 .106 .213 N 377 377 377 377 Correlations X15 — Fresh Food X16 — Reasonable Prices X17 — Attractive Interior X18 — Excellent Food Taste X11 — Try New Brands Pearson Correlation .101* -.027 -.044 .147** Sig. (2-tailed) .049 .603 .392 .004 N 377 377 377 377 X12 — Friendly Employees Pearson Correlation .392** -.049 -.109* .382** Sig. (2-tailed) .000 .347 .035 .000 N 377 377 377 377 X13 — Fun Place to Eat Pearson Correlation -.028 .386** .675** .036 Sig. (2-tailed) .585 .000 .000 .480 N 377 377 377 377 X14 — Large Size Portions Pearson Correlation .112* .959** .287** .022 Sig. (2-tailed) .029 .000 .000 .675 N 377 377 377 377 X15 — Fresh Food Pearson Correlation 1 .135** -.011 .784** Sig. (2-tailed) .009 .836 .000 N 377 377 377 377 X16 — Reasonable Prices Pearson Correlation .135** 1 .265** .089 Sig. (2-tailed) .009 .000 .085 N 377 377 377 377 X17 — Attractive Interior Pearson Correlation -.011 .265** 1 -.084 Sig. (2-tailed) .836 .000 .102 N 377 377 377 377 X18 — Excellent Food Taste Pearson Correlation .784** .089 -.084 1 Sig. (2-tailed) .000 .085 .102 N 377 377 377 377 X19 — Knowledgeable Employees Pearson Correlation .409** .120* .107* .391** Sig. (2-tailed) .000 .020 .038 .000 N 377 377 377 377 X20 — Proper Food Temperature Pearson Correlation .489** .095 .182** .587** Sig. (2-tailed) .000 .064 .000 .000 N 377 377 377 377 Correlations X19 — Knowledgeable Employees X20 — Proper Food Temperature X11 — Try New Brands Pearson Correlation .474** .055 Sig. (2-tailed) .000 .287 N 377 377 X12 — Friendly Employees Pearson Correlation .622** .037 Sig. (2-tailed) .000 .471 N 377 377 X13 — Fun Place to Eat Pearson Correlation .146** .083 Sig. (2-tailed) .005 .106 N 377 377 X14 — Large Size Portions Pearson Correlation .085 .064 Sig. (2-tailed) .098 .213 N 377 377 X15 — Fresh Food Pearson Correlation .409** .489** Sig. (2-tailed) .000 .000 N 377 377 X16 — Reasonable Prices Pearson Correlation .120* .095 Sig. (2-tailed) .020 .064 N 377 377 X17 — Attractive Interior Pearson Correlation .107* .182** Sig. (2-tailed) .038 .000 N 377 377 X18 — Excellent Food Taste Pearson Correlation .391** .587** Sig. (2-tailed) .000 .000 N 377 377 X19 — Knowledgeable Employees Pearson Correlation 1 .185** Sig. (2-tailed) .000 N 377 377 X20 — Proper Food Temperature Pearson Correlation .185** 1 Sig. (2-tailed) .000 N 377 377 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). CORRELATIONS /VARIABLES=x16 x17 x18 x19 x20 /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. Correlations Correlations X16 — Reasonable Prices X17 — Attractive Interior X18 — Excellent Food Taste X16 — Reasonable Prices Pearson Correlation 1 .265** .089 Sig. (2-tailed) .000 .085 N 377 377 377 X17 — Attractive Interior Pearson Correlation .265** 1 -.084 Sig. (2-tailed) .000 .102 N 377 377 377 X18 — Excellent Food Taste Pearson Correlation .089 -.084 1 Sig. (2-tailed) .085 .102 N 377 377 377 X19 — Knowledgeable Employees Pearson Correlation .120* .107* .391** Sig. (2-tailed) .020 .038 .000 N 377 377 377 X20 — Proper Food Temperature Pearson Correlation .095 .182** .587** Sig. (2-tailed) .064 .000 .000 N 377 377 377 Correlations X19 — Knowledgeable Employees X20 — Proper Food Temperature X16 — Reasonable Prices Pearson Correlation .120* .095 Sig. (2-tailed) .020 .064 N 377 377 X17 — Attractive Interior Pearson Correlation .107* .182** Sig. (2-tailed) .038 .000 N 377 377 X18 — Excellent Food Taste Pearson Correlation .391** .587** Sig. (2-tailed) .000 .000 N 377 377 X19 — Knowledgeable Employees Pearson Correlation 1 .185** Sig. (2-tailed) .000 N 377 377 X20 — Proper Food Temperature Pearson Correlation .185** 1 Sig. (2-tailed) .000 N 377 377 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT x22 /METHOD=ENTER x1 x2 x3 x4 x5 x6 x7 x8 x9 x10. Regression Variables Entered/Removed a Model Variables Entered Variables Removed Method 1 X10 — Careful about What I Eat, X1 — Try New and Different Things , X6 — Friends Come to Me, X5 — Likes to Go Out Socially, X7 — Self-Confident, X9 — Buy New Products, X4 — Avoid Fried Foods, X2 — Party Person, X3 — People Come to Me, X8 — Eat Balanced, Nutritious Mealsb . Enter a. Dependent Variable: X22 — Satisfaction b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .718a .516 .503 .794 a. Predictors: (Constant), X10 — Careful about What I Eat, X1 — Try New and Different Things , X6 — Friends Come to Me, X5 — Likes to Go Out Socially, X7 — Self-Confident, X9 — Buy New Products, X4 — Avoid Fried Foods, X2 — Party Person, X3 — People Come to Me, X8 — Eat Balanced, Nutritious Meals ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression 245.943 10 24.594 39.051 .000b Residual 230.508 366 .630 Total 476.451 376 a. Dependent Variable: X22 — Satisfaction b. Predictors: (Constant), X10 — Careful about What I Eat, X1 — Try New and Different Things , X6 — Friends Come to Me, X5 — Likes to Go Out Socially, X7 — Self-Confident, X9 — Buy New Products, X4 — Avoid Fried Foods, X2 — Party Person, X3 — People Come to Me, X8 — Eat Balanced, Nutritious Meals Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 4.825 .406 11.873 .000 X1 — Try New and Different Things .209 .033 .344 6.301 .000 X2 — Party Person .060 .062 .055 .974 .331 X3 — People Come to Me .023 .059 .024 .385 .700 X4 — Avoid Fried Foods -.260 .056 -.302 -4.684 .000 X5 — Likes to Go Out Socially -.054 .053 -.054 -1.016 .310 X6 — Friends Come to Me .186 .059 .191 3.129 .002 X7 — Self-Confident -.033 .039 -.036 -.857 .392 X8 — Eat Balanced, Nutritious Meals .214 .065 .235 3.290 .001 X9 — Buy New Products .006 .038 .009 .172 .863 X10 — Careful about What I Eat -.461 .057 -.453 -8.116 .000 a. Dependent Variable: X22 — Satisfaction REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT x22 /METHOD=ENTER x11 x12 x13 x14 x15 x16 x17 x18 x19 x20. Regression Variables Entered/Removed a Model Variables Entered Variables Removed Method 1 X20 — Proper Food Temperature, X12 — Friendly Employees, X14 — Large Size Portions, X17 — Attractive Interior, X15 — Fresh Food, X19 — Knowledgeable Employees, X13 — Fun Place to Eat, X11 — Try New Brands, X18 — Excellent Food Taste, X16 — Reasonable Pricesb . Enter a. Dependent Variable: X22 — Satisfaction b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .769a .591 .580 .730 a. Predictors: (Constant), X20 — Proper Food Temperature, X12 — Friendly Employees, X14 — Large Size Portions, X17 — Attractive Interior, X15 — Fresh Food, X19 — Knowledgeable Employees, X13 — Fun Place to Eat, X11 — Try New Brands, X18 — Excellent Food Taste, X16 — Reasonable Prices ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression 281.595 10 28.160 52.892 .000b Residual 194.856 366 .532 Total 476.451 376 a. Dependent Variable: X22 — Satisfaction b. Predictors: (Constant), X20 — Proper Food Temperature, X12 — Friendly Employees, X14 — Large Size Portions, X17 — Attractive Interior, X15 — Fresh Food, X19 — Knowledgeable Employees, X13 — Fun Place to Eat, X11 — Try New Brands, X18 — Excellent Food Taste, X16 — Reasonable Prices Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) -.871 .319 -2.728 .007 X11 — Try New Brands .093 .043 .144 2.171 .031 X12 — Friendly Employees .268 .074 .289 3.615 .000 X13 — Fun Place to Eat .322 .065 .256 4.959 .000 X14 — Large Size Portions .083 .111 .097 .749 .454 X15 — Fresh Food .445 .058 .469 7.619 .000 X16 — Reasonable Prices .050 .117 .055 .425 .671 X17 — Attractive Interior -.091 .055 -.082 -1.651 .099 X18 — Excellent Food Taste -.352 .070 -.340 -5.006 .000 X19 — Knowledgeable Employees -.012 .035 -.017 -.354 .724 X20 — Proper Food Temperature .423 .047 .441 9.099 .000 a. Dependent Variable: X22 — Satisfaction REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT x22 /METHOD=ENTER x16 x17 x18 x19 x20. Regression Variables Entered/Removed a Model Variables Entered Variables Removed Method 1 X20 — Proper Food Temperature, X16 — Reasonable Prices, X19 — Knowledgeable Employees, X17 — Attractive Interior, X18 — Excellent Food Tasteb . Enter a. Dependent Variable: X22 — Satisfaction b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .639a .408 .400 .872 a. Predictors: (Constant), X20 — Proper Food Temperature, X16 — Reasonable Prices, X19 — Knowledgeable Employees, X17 — Attractive Interior, X18 — Excellent Food Taste ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression 194.360 5 38.872 51.123 .000b Residual 282.091 371 .760 Total 476.451 376 a. Dependent Variable: X22 — Satisfaction b. Predictors: (Constant), X20 — Proper Food Temperature, X16 — Reasonable Prices, X19 — Knowledgeable Employees, X17 — Attractive Interior, X18 — Excellent Food Taste Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) .917 .329 2.785 .006 X16 — Reasonable Prices .171 .038 .187 4.480 .000 X17 — Attractive Interior .066 .049 .060 1.359 .175 X18 — Excellent Food Taste .102 .057 .099 1.786 .075 X19 — Knowledgeable Employees .206 .033 .280 6.328 .000 X20 — Proper Food Temperature .351 .050 .366 7.062 .000 a. Dependent Variable: X22 — Satisfaction

in your own words, using the APA 6E guide, prepare 150 words to 250 words summary about this research by John Anthony

Peer-Reviewed Summary Assignment – APA 6E Guide. To complete this assignment, the following instructions must be followed: read the attached peer-reviewed research paper in its entirety in your own words, using the APA 6E guide, prepare 150 words to 250 words summary about this research by John Anthony DO NOT COPY and PASTE parts/sections of the research paper to complete this assignment Mention in-text citations without which its considered as plagiarized.

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