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we should use a Microsoft Excel for this one.another oneanotherand last one.
This is my assignment, I'm in year 11. Can't answer them :(
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ear 11 Mathematics C
Assignment 1
Sequences and Series
Write a Report
The statement should include three paragraphs with an introduction, body and conclusion justifying
mathematically your findings.
Task 2:
write a brief statement to explore the liquidity of the company
allowing decisions to be made regarding;
✓ annual bank deposits required for an accumulated wealth
✓ accumulated wealth collected from annual deposits
M&P
Level 4
ABCDE
Question 10
A company must always have a high level of liquidity whereby assets can be easily turned into cash. To
improve their current level of liquidity Assembly Systems Pty Ltd wishes to invest yearly payments or an
annuity into a bank account. If they can receive an annual interest rate of r % p.a. and they invest $a per
year, derive a formula that will calculate the accumulated value after n years.
You must derive a statement which represents this situation and prove that it is correct for all possible
values. Using acceptable mathematical reasoning and logic prove the sum of your annuity is correct.
Provide a supplement in your report which allows company directors to peruse a table so they can
calculate the expected return depending upon the interest rate and the projected time of investment up to
and including 10 years. Use the following table as a guide.
Compounded values of $1
5%
7.5%
10%
12%
Period
1%
1
2.
3
Provide the company with some examples so they can see clearly and concisely use the table and apply it
to formula to complete estimates for;
da the total value or sum of a regular annual deposit into an account.
the required annual payment to receive a total value or sum at the end of a certain period.
Year 11 Mathematics C
Assignment 1
Structures and Patterns
Write a Report
The report will generally include an introduction, background information, analysis of results and data,
discussion and conclusions, and, when necessary, appendixes and a bibliography and/or reference list.
Task 3:
write a report to investigate the motion of the following object;
✓ Bouncing ball
✓ Oscillating spring.
Question 11
M&P
Level 3
A B C D E
Your report forms a preliminary study into the feasibility of a possible
suspension mechanism which your company is presently designing.
This mechanism will regulate a series of hydraulic and electronic
switches which control the operation of the suspension system. It has
been ordained that the system must follow the natural frequencies or
motions of a naturally bouncing ball or oscillating spring.
Record the motion of each phenomenon with a digital camera and
analyse the motion using Logger-Pro 3.3. Your analysis must record
each successive bounce height and amplitude from the equilibrium
position for the ball and pendulum respectively.
For quality insurance reasons your report must include the following information;
th
the general formula for the n" term for bounce height and amplitude,
the sum to an infinite number of terms for accumulated bounce heights and amplitudes,
development of a possible mathematical model to simulate the timing mechanism for an automated
assembly line.
As you refine your mathematical model for the proposed timing system using the motion of each "object",
justify the reasonableness of results and state the strengths and limitations of each model. Ensure you
identify assumptions and their associated effects as you idealise your investigation and choose the 'best'
timing system.
Year 11 Mathematics
Assignment 1
Structures and Patterns
K&P
Question 9
5 Marks
In 2010 the company modelled the production of suspension systems using the equation P = A(1.04)»4. That
year the state government introduced a policy to slow its productivity. The new production model is
described by the following equation, P = A(b)"-
In both equations, P is the predicted production and n is the number of years after 2010. The graph shows
PA
the two predicted production curves.
P-A11.04)"
8 000 000
7 000 000
8 000 000
РЕАЦЬ" -
5 000 000
Production
3 000 000 -
2 000 000
1 000 000
0
10
(2020)
20
(2030)
30
(2040)
(2010)
Years
a) Use the graph to find the predicted production output in 2030 if the government policy was not
introduced.
b) In each of the two equations given, the value of A is 3 000 000. What does the A represent?
c) Explain why 1.05 is not a suitable estimate for b.
d) Calculate an appropriate value of b in the equation P= A(b)-2
e) The company was aiming to have a production of 7 000 000 in 2050. Does the model indicate that the
company will achieve this goal? Justify your answer with suitable calculations.
Year 11 Mathematics
Assignment 1
Structures and Patterns
K&P
Question 9
5 Marks
In 2010 the company modelled the production of suspension systems using the equation P = A(1.04)»4. That
year the state government introduced a policy to slow its productivity. The new production model is
described by the following equation, P = A(b)"-
In both equations, P is the predicted production and n is the number of years after 2010. The graph shows
PA
the two predicted production curves.
P-A11.04)"
8 000 000
7 000 000
8 000 000
РЕАЦЬ" -
5 000 000
Production
3 000 000 -
2 000 000
1 000 000
0
10
(2020)
20
(2030)
30
(2040)
(2010)
Years
a) Use the graph to find the predicted production output in 2030 if the government policy was not
introduced.
b) In each of the two equations given, the value of A is 3 000 000. What does the A represent?
c) Explain why 1.05 is not a suitable estimate for b.
d) Calculate an appropriate value of b in the equation P= A(b)-2
e) The company was aiming to have a production of 7 000 000 in 2050. Does the model indicate that the
company will achieve this goal? Justify your answer with suitable calculations.
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Analyze the computation, application, strengths, and limitations of various statistical tests, assignment help
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For this two-par ...
Analyze the computation, application, strengths, and limitations of various statistical tests, assignment help
CORRELATIONYou will need the grades.sav file that you created from the grades2.dat file in Assignment 1.
For this two-part assessment, you will respond to a question about interpreting correlations and use SPSS software to complete a data analysis and application report.You will examine three fundamental inferential statistics, including correlation, t-tests, and analysis of variance (ANOVA). The first inferential statistic we will focus on is correlation, denoted r, which estimates the strength of a linear association between two variables. By contrast, t-tests and ANOVAs will examine group differences on some quantitative dependent variable.By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:Analyze the computation, application, strengths, and limitations of various statistical tests.Develop a conclusion including strengths and limitations of correlation.Analyze the decision-making process of data analysis.Analyze the assumptions of correlation.Apply knowledge of hypothesis testing.Develop a research question, null hypothesis, alternative hypothesis, and alpha level.Interpret the results of statistical analyses.Interpret the correlation output.Apply a statistical program's procedure to a data set.Apply the appropriate SPSS procedures to check assumptions and calculate the correlations.Apply the results of statistical analyses (your own or others) to your field of interest or career.Develop a context for the data set, including a definition of required variables and scales of measurement.Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Read the Assessment 2 Context document attached for important information on the following topics:Interpreting correlation: Magnitude and sign.Assumptions of correlation.Hypothesis testing of correlation.Effect size in correlation.Alternative correlation coefficients.Correlation—application.Proper reporting of correlations.r, degrees of freedom, and correlation coefficient.Probability values.Effect size.As you prepare to complete this assessment, you may want to think about other related issues to deepen your understanding or broaden your viewpoint. You are encouraged to consider the questions below and discuss them with a fellow learner, a work associate, an interested friend, or a member of your professional community. Note that these questions are for your own development and exploration and do not need to be completed or submitted as part of your assessment.Correlation versus causation:If correlation does not imply causation, what does it imply?Are there ever any circumstances when a correlation can be interpreted as evidence for a causal connection between two variables?If yes, what circumstances?Application of correlation:Is there a research question from your professional life or career specialization that can be addressed by a correlation?Why would a correlation be the appropriate analysis for this research question?What are the variables and their scale of measurement?What is the expected outcome (positive, negative, no relationship)?In addition, you will need the grades.sav file that you created from the grades2.dat file in Assessment 1.SPSS SoftwareThe following statistical analysis software is required to complete your assessments in this course:IBM SPSS Statistics (recent version for PC or Mac).This course requires the following as a minimum:IBM SPSS Statistics Standard GradPack. (The Base GradPack is not acceptable for use in this course.)Versioning: This software is routinely updated. While it is recommended that you use the latest version of the software available, you may use an older version if you already own it or have access to it, but it must be version 22 or higher. Be sure to use the version that is compatible with your operating system (PC or Mac).SUGGESTED RESOURCESThe resources provided here are optional. You may use other resources of your choice to prepare for this assessment; however, you will need to ensure that they are appropriate, credible, and valid. TheXX-FP7864 – Quantitative Design and Analysis Library Guidecan help direct your research, and the Supplemental Resources and Research Resources, both linked from the left navigation menu in your courseroom, provide additional resources to help support you.ResourcesGeorge, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.Internet ResourcesLane, D. M. (2013). HyperStat online: An introductory statistics textbook and online tutorial for help in statistics courses. Retrieved from http://davidmlane.com/hyperstatStatSoft, Inc. (2013). Electronic statistics textbook. Tulsa, OK: StatSoft. Retrieved fromhttp://www.statsoft.com/textbookSophia. (2014). Retrieved from http://www.sophia.org/Browse Sophia for tutorials that explore statistical topics.StatisticsLectures.com. (2012). Free statistic lectures. Retrieved fromhttp://statisticslectures.com/Khan Academy. (2013). Retrieved from https://www.khanacademy.orgThis Web site offers resources covering a range of subjects, including statisticsHall, R. (1998). Between subjects one-way ANOVA example. Psychology World. Retrieved from http://web.mst.edu/~psyworld/anovaexample.htmElliot, A. C. (2012). ANOVA using Microsoft Excel: One-way analysis of variance. Excel Tutorials for Statistical Data Analysis. Retrieved fromhttp://www.stattutorials.com/EXCEL/EXCEL_ANOVA.htm...Onwuegbuzie, T. (Producer). (2009). Mixed methods research[Video] | Transcript. Available from http://videolectures.net/ssmt09_onwuegbuzie_mmrSuggested ReadingsPSY LearnersNote:For the first article, focus on interpreting Table 1.Jia, Y., Konold, T. R., & Cornell, D. (2015). Authoritative school climate and high school dropout rates. School Psychology Quarterly, 31(2), 289–303.Anderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature. Psychological Science, 12(5), 353–359.SOE LearnersWalk, M., & Rupp, A. (2010). Pearson product-moment correlation coefficient. In N. J. Salkind (Ed.), Encyclopedia of research design (pp. 1023–1026). Thousand Oaks, CA: Sage.Chapter 10, "Bivariate Correlation."ResourcesGeorge, D., & Mallery, P. (2016).IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.Field, A. (2013). Discovering statistics using IBM SPSS (4th ed.). Thousand Oaks, CA: Sage.Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques(2nd ed.). Thousand Oaks, CA: Sage.Chapter 7, "Bivariate Pearson Correlation."Chapter 8, "Alternative Correlation Coefficients."American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.PreparationRead the Assessment 2 Context document (linked in the Resources, under the Required Resources heading) to learn about the concepts used in this assessment. This assessment contains two parts. Follow the instructions provided for each part. Submit both parts of your assessment as Word documents.PART 1: INTERPRETING CORRELATIONSA meta-analysis (Anderson & Bushman, 2001) reported that the average correlation between time spent playing video games (X) and engaging in aggressive behavior (Y) in a set of 21 well-controlled experimental studies wasr+ = .19. This correlation was judged to be statistically significant. In your own words, what can you say about the nature of the relationship? Write a one-page response to this question.PART 2: CORRELATIONSYou will use the following resources for this assessment. They are linked in the Resources, under the Required Resources heading.Complete this part of the assessment using the DAA Template.Read the SPSS Data Analysis Report Guidelines for a more complete understanding of the DAA Template and how to format and organize your assessment.Refer to IBM SPSS Step-By-Step Instructions: Correlations for additional information on using SPSS for this assessment.If necessary, review the Copy/Export Output Instructions to refresh your memory on how to perform these tasks. As with your previous two assessments, your submission should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document).You will analyze the following variables in thegrades.savdata set:gender.gpa.total.final.Step 1: Write Section 1 of the DAAProvide a context of thegrades.savdata set. Include a definition of the specified variables and corresponding scales of measurement. Indicate the type of correlation for each X, Y pair (for example, Pearson'sr, Spearman'sr, point-biserialr, et cetera). Specify the sample size of the data set.Step 2: Write Section 2 of the DAATest the assumptions of correlation forgpaandfinal. Paste the SPSS histogram output for each variable and discuss your visual interpretations. Paste SPSS descriptives output showing skewness and kurtosis values and interpret them. Paste SPSS scatter plot output with gpa set to the horizontal axis and final set to the vertical axis. Conduct a visual inspection of the scatter plot to analyze other assumptions of correlation. Summarize whether or not the assumptions of correlation are met.Step 3: Write Section 3 of the DAASpecify a research question related togpaandfinal. Articulate the null hypothesis and alternative hypothesis. Specify your alpha level.Step 4: Write Section 4 of the DAAPaste the SPSS output of the intercorrelation matrix for all specified variables.First, report the lowest magnitudecorrelation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.Second, report the highest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.Third, report the correlation between gpa and final, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Analyze the correlation in terms of the null hypothesis.Step 5: Write Section 5 of the DAADiscuss the implications of this correlation as it relates to the research question. Conclude with an analysis of the strengths and limitations of correlational analysis.ReferenceAnderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature.Psychological Science,12(5), 353–359.
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IRP project
1 Draft IRPSummary:In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and Excel as needed to analyze real-world data.In the first assignment (IRP Research Question and Data Set), you identified the data set you wanted to use, developed a research question, and identified a statistical question that could be answered analytically.In this assignment, you will create and submit a business memo (template attached) that clearly communicates your analysis of the data set you identified in the previous assignment. When you submit this draft of your IRP, you will get feedback from your classmates and your instructor. You should use this feedback to improve your IRP.In later assignments (IRP Memorandum, IRP Presentation, Presentation Questions Reply), you will submit the final version of your IRP, create and submit a PowerPoint presentation that summarizes your IRP, present your analysis via a recorded video presentation, and answer questions about your presentation.AttachmentsIRP Template 2018.docxIRP Draft (2)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeUse of software tools10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsThis criterion is linked to a Learning OutcomeData Display15.0 ptsGood12.0 ptsFair0.0 ptsInadequate15.0 ptsThis criterion is linked to a Learning OutcomeAnalysis Procedure25.0 ptsGood20.0 ptsFair0.0 ptsInadequate25.0 ptsThis criterion is linked to a Learning OutcomeData Analysis Conclusion20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeRecommended Actions20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeDecision Approach10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsTotal Points: 100.02 IRP PresentationUpload your IRP PowerPoint presentation to this assignment.You only have four minutes, so be concise and careful with your language.Use the PowerPoint Narration tool for your slides, even if you present face to face, it is good practice.Attachments: IRP Presentation TemplateIS 3310 Presentation Rubric Fall 2018 v2CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeContentInformation on slides reflects understanding and effective summarization. Information has not simply been copied and pasted from another IRP memo. Information is presented in logical sequence/structure.60.0to >35.0 ptsGoodAll essential elements needed to explain the analyiss and decision are present.35.0to >10.0 ptsAdequateMissing an essential element that explains the analysis and recommendation.10.0to >0 ptsInadequateTwo or more essential elements needed to understand the analysis are missing.60.0ptsThis criterion is linked to a Learning OutcomeDesignEasy to read, good color choices, no eye charts. Appropriate use of charts, graphs, and images to effectively communicate to the audience.15.0to >13.0 ptsGoodGreat design, color choice. Appropriate charts, graphs, tables, etc. are used in the presentation to promote the narrative.13.0to >10.0ptsAdequateSome charts, graphs, tables, etc. are used in the presentation to promote the narrative.10.0to >0 ptsInadequatePoor use of images, tables, etc. to explain the analysis and recommendation.15.0ptsThis criterion is linked to a Learning OutcomeUse of language (Grammar and Word Choice)Presentation is free of spelling and grammatical errors10.0 ptsGoodNo noticeable errors apparent in the presentation.10.0to >0 ptsInadequateOne ore more grammar, spelling, or obvious factual errors that a good proofreading of the presentation should have caught.10.0ptsThis criterion is linked to a Learning OutcomePresentationPresenter spoke clearly and slowly enough to be heard by the audience. Presenter effectively communicated their recommendation based on their analysis.15.0 ptsVery good.Clear, well spoken, not rushed. Presenation was organized logically, and effectively communicated the presenter's recommendation.10.0 ptsAveragePresenation was understandable, but was rushed and not logically arranged.5.0 ptsCould be betterThe speaker was hard to understand, rushed through the presentation, are had annoying habits that made following the15.0pts3 IRP MemorandumIn this Independent Research Project (IRP), students provide a business decision recommendation using SAS primarily and Excel as needed to obtain real world data. The student will create and submit a business report that clearly communicates a recommendation based on their analysis of the data set that includes an analysis of different courses of action using weighted factors. The students will also create a Power Point presentation that summarizes their IRP and present their analysis live, via video-teleconference or as a recorded video presentation. The student will also answer questions about their presentation.DELIVERABLE:ATTACH:IRP MEMORANDUM TEMPLATEIRP Memo Final (3)IRP Memo Final (3)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeSalutationIdentify the audience for this IRP3.0 ptsGoodDate, From, To lines correct.1.0 ptsFairOne or more items incorrect.0.0 ptsInadequateTwo or more items incorrect.3.0 ptsThis criterion is linked to a Learning OutcomeSubject LineShould relate to the topic, be interesting.3.0 ptsGoodSubject line is relevant and informative.1.0 ptsFairSubject line is not relevant to the IRP.0.0 ptsInadequateSubject line does is not informative.3.0 ptsThis criterion is linked to a Learning OutcomeIntroductionSummary of the whole IRP. You may not be able to write this portion until you have finished the rest of the paper.26.0 ptsGoodParagraph 1: Summary of IRP. Paragraph 2: Discussion of tools and data. Paragraph 3: Summary of findings, analysis conclusion, and recommendation.16.0 ptsFairMissing one of the introduction paragraphs, or not well written.5.0 ptsInadequateMissing two or more of the relevant parts of the introduction, or not written well.26.0 ptsThis criterion is linked to a Learning OutcomeIssue IdentificationRequires critical thinking and creative thinking.12.0 ptsGoodClearly discussed the problem that the analysis is investigating. Clearly identified a primary issue.10.0 ptsFairDiscussed the primary issue that is being investigated somewhat, but not clearly identify the problem.5.0 ptsInadequateDiscussed a symptom of the problem only.12.0 ptsThis criterion is linked to a Learning OutcomeIssue AnalysisHow are you going to investigate your problem with this data?12.0 ptsGoodClearly discussed analysis plan (specifically mentions ANOVA, Linear Regression, or other analysis method). Clearly states research question in plain language. Correctly states statistical question that matches research question (null and alternative hypotheses).7.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more of the elements of this section.12.0 ptsThis criterion is linked to a Learning OutcomeDataWhere did the data come from? What did you do to prepare it for analysis?9.0 ptsGoodClearly discussed data: 1) Source 2) Any data cleansing required (treatment of outliers?) 3) Appropriate descriptive statistics table included.6.0 ptsFairMissing one of the required elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeAnalysis9.0 ptsFull MarksClear discussion of analysis: 1) Identify variables (independent, dependent, type) 2) Relevant charts and tables 3) Discussion references any charts, tables, values (pvalue, etc.) needed to reach conclusion.6.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeConclusion9.0 ptsFull MarksClearly discussed analysis conclusion: 1) Analysis results (significant, not significant) 2) Hypothesis conclusion (accept, reject) 3) Impact of your conclusion as it relates to the problem you identified in the "Issue Identification" section.6.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeCOA'sCourse of Action Development8.0 ptsFull MarksStudent developed three or more courses of action (COA's) to the problem based on a better understanding of the problem obtained by their analysis. COA could optimize ROI, optimize time, optimize, optimize impact on people, "status quo", etc.6.0 ptsFairStudent developed two or more possible solutions.2.0 ptsInadequateStudent did not develop any possible solutions to the problem, or it was not clear that they understood how to think critically about solutions to the problem.8.0 pts
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Analyze the computation, application, strengths, and limitations of various statistical tests, assignment help
CORRELATIONYou will need the grades.sav file that you created from the grades2.dat file in Assignment 1.
For this two-par ...
Analyze the computation, application, strengths, and limitations of various statistical tests, assignment help
CORRELATIONYou will need the grades.sav file that you created from the grades2.dat file in Assignment 1.
For this two-part assessment, you will respond to a question about interpreting correlations and use SPSS software to complete a data analysis and application report.You will examine three fundamental inferential statistics, including correlation, t-tests, and analysis of variance (ANOVA). The first inferential statistic we will focus on is correlation, denoted r, which estimates the strength of a linear association between two variables. By contrast, t-tests and ANOVAs will examine group differences on some quantitative dependent variable.By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:Analyze the computation, application, strengths, and limitations of various statistical tests.Develop a conclusion including strengths and limitations of correlation.Analyze the decision-making process of data analysis.Analyze the assumptions of correlation.Apply knowledge of hypothesis testing.Develop a research question, null hypothesis, alternative hypothesis, and alpha level.Interpret the results of statistical analyses.Interpret the correlation output.Apply a statistical program's procedure to a data set.Apply the appropriate SPSS procedures to check assumptions and calculate the correlations.Apply the results of statistical analyses (your own or others) to your field of interest or career.Develop a context for the data set, including a definition of required variables and scales of measurement.Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.Read the Assessment 2 Context document attached for important information on the following topics:Interpreting correlation: Magnitude and sign.Assumptions of correlation.Hypothesis testing of correlation.Effect size in correlation.Alternative correlation coefficients.Correlation—application.Proper reporting of correlations.r, degrees of freedom, and correlation coefficient.Probability values.Effect size.As you prepare to complete this assessment, you may want to think about other related issues to deepen your understanding or broaden your viewpoint. You are encouraged to consider the questions below and discuss them with a fellow learner, a work associate, an interested friend, or a member of your professional community. Note that these questions are for your own development and exploration and do not need to be completed or submitted as part of your assessment.Correlation versus causation:If correlation does not imply causation, what does it imply?Are there ever any circumstances when a correlation can be interpreted as evidence for a causal connection between two variables?If yes, what circumstances?Application of correlation:Is there a research question from your professional life or career specialization that can be addressed by a correlation?Why would a correlation be the appropriate analysis for this research question?What are the variables and their scale of measurement?What is the expected outcome (positive, negative, no relationship)?In addition, you will need the grades.sav file that you created from the grades2.dat file in Assessment 1.SPSS SoftwareThe following statistical analysis software is required to complete your assessments in this course:IBM SPSS Statistics (recent version for PC or Mac).This course requires the following as a minimum:IBM SPSS Statistics Standard GradPack. (The Base GradPack is not acceptable for use in this course.)Versioning: This software is routinely updated. While it is recommended that you use the latest version of the software available, you may use an older version if you already own it or have access to it, but it must be version 22 or higher. Be sure to use the version that is compatible with your operating system (PC or Mac).SUGGESTED RESOURCESThe resources provided here are optional. You may use other resources of your choice to prepare for this assessment; however, you will need to ensure that they are appropriate, credible, and valid. TheXX-FP7864 – Quantitative Design and Analysis Library Guidecan help direct your research, and the Supplemental Resources and Research Resources, both linked from the left navigation menu in your courseroom, provide additional resources to help support you.ResourcesGeorge, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.Internet ResourcesLane, D. M. (2013). HyperStat online: An introductory statistics textbook and online tutorial for help in statistics courses. Retrieved from http://davidmlane.com/hyperstatStatSoft, Inc. (2013). Electronic statistics textbook. Tulsa, OK: StatSoft. Retrieved fromhttp://www.statsoft.com/textbookSophia. (2014). Retrieved from http://www.sophia.org/Browse Sophia for tutorials that explore statistical topics.StatisticsLectures.com. (2012). Free statistic lectures. Retrieved fromhttp://statisticslectures.com/Khan Academy. (2013). Retrieved from https://www.khanacademy.orgThis Web site offers resources covering a range of subjects, including statisticsHall, R. (1998). Between subjects one-way ANOVA example. Psychology World. Retrieved from http://web.mst.edu/~psyworld/anovaexample.htmElliot, A. C. (2012). ANOVA using Microsoft Excel: One-way analysis of variance. Excel Tutorials for Statistical Data Analysis. Retrieved fromhttp://www.stattutorials.com/EXCEL/EXCEL_ANOVA.htm...Onwuegbuzie, T. (Producer). (2009). Mixed methods research[Video] | Transcript. Available from http://videolectures.net/ssmt09_onwuegbuzie_mmrSuggested ReadingsPSY LearnersNote:For the first article, focus on interpreting Table 1.Jia, Y., Konold, T. R., & Cornell, D. (2015). Authoritative school climate and high school dropout rates. School Psychology Quarterly, 31(2), 289–303.Anderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature. Psychological Science, 12(5), 353–359.SOE LearnersWalk, M., & Rupp, A. (2010). Pearson product-moment correlation coefficient. In N. J. Salkind (Ed.), Encyclopedia of research design (pp. 1023–1026). Thousand Oaks, CA: Sage.Chapter 10, "Bivariate Correlation."ResourcesGeorge, D., & Mallery, P. (2016).IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). New York, NY: Routledge.Field, A. (2013). Discovering statistics using IBM SPSS (4th ed.). Thousand Oaks, CA: Sage.Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques(2nd ed.). Thousand Oaks, CA: Sage.Chapter 7, "Bivariate Pearson Correlation."Chapter 8, "Alternative Correlation Coefficients."American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.PreparationRead the Assessment 2 Context document (linked in the Resources, under the Required Resources heading) to learn about the concepts used in this assessment. This assessment contains two parts. Follow the instructions provided for each part. Submit both parts of your assessment as Word documents.PART 1: INTERPRETING CORRELATIONSA meta-analysis (Anderson & Bushman, 2001) reported that the average correlation between time spent playing video games (X) and engaging in aggressive behavior (Y) in a set of 21 well-controlled experimental studies wasr+ = .19. This correlation was judged to be statistically significant. In your own words, what can you say about the nature of the relationship? Write a one-page response to this question.PART 2: CORRELATIONSYou will use the following resources for this assessment. They are linked in the Resources, under the Required Resources heading.Complete this part of the assessment using the DAA Template.Read the SPSS Data Analysis Report Guidelines for a more complete understanding of the DAA Template and how to format and organize your assessment.Refer to IBM SPSS Step-By-Step Instructions: Correlations for additional information on using SPSS for this assessment.If necessary, review the Copy/Export Output Instructions to refresh your memory on how to perform these tasks. As with your previous two assessments, your submission should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document).You will analyze the following variables in thegrades.savdata set:gender.gpa.total.final.Step 1: Write Section 1 of the DAAProvide a context of thegrades.savdata set. Include a definition of the specified variables and corresponding scales of measurement. Indicate the type of correlation for each X, Y pair (for example, Pearson'sr, Spearman'sr, point-biserialr, et cetera). Specify the sample size of the data set.Step 2: Write Section 2 of the DAATest the assumptions of correlation forgpaandfinal. Paste the SPSS histogram output for each variable and discuss your visual interpretations. Paste SPSS descriptives output showing skewness and kurtosis values and interpret them. Paste SPSS scatter plot output with gpa set to the horizontal axis and final set to the vertical axis. Conduct a visual inspection of the scatter plot to analyze other assumptions of correlation. Summarize whether or not the assumptions of correlation are met.Step 3: Write Section 3 of the DAASpecify a research question related togpaandfinal. Articulate the null hypothesis and alternative hypothesis. Specify your alpha level.Step 4: Write Section 4 of the DAAPaste the SPSS output of the intercorrelation matrix for all specified variables.First, report the lowest magnitudecorrelation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.Second, report the highest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation.Third, report the correlation between gpa and final, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Analyze the correlation in terms of the null hypothesis.Step 5: Write Section 5 of the DAADiscuss the implications of this correlation as it relates to the research question. Conclude with an analysis of the strengths and limitations of correlational analysis.ReferenceAnderson, C. A., & Bushman, B. J. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature.Psychological Science,12(5), 353–359.
15 pages
Math In Context 4.3
For each numerical variable, construct boxplots for the Xperia and iPhone On the basis of the two boxplots of resolutions ...
Math In Context 4.3
For each numerical variable, construct boxplots for the Xperia and iPhone On the basis of the two boxplots of resolutions of Xperia smartphones
Adding and Subtracting Rational Expressions
Answer in your own words!! Compare and contrast adding and subtracting rational expressions.
How is adding rational expr ...
Adding and Subtracting Rational Expressions
Answer in your own words!! Compare and contrast adding and subtracting rational expressions.
How is adding rational expressions different than subtracting rational
expressions? How are they the same?In your own words, explain how to subtract rational expressions with different denominators.
IRP project
1 Draft IRPSummary:In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and ...
IRP project
1 Draft IRPSummary:In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and Excel as needed to analyze real-world data.In the first assignment (IRP Research Question and Data Set), you identified the data set you wanted to use, developed a research question, and identified a statistical question that could be answered analytically.In this assignment, you will create and submit a business memo (template attached) that clearly communicates your analysis of the data set you identified in the previous assignment. When you submit this draft of your IRP, you will get feedback from your classmates and your instructor. You should use this feedback to improve your IRP.In later assignments (IRP Memorandum, IRP Presentation, Presentation Questions Reply), you will submit the final version of your IRP, create and submit a PowerPoint presentation that summarizes your IRP, present your analysis via a recorded video presentation, and answer questions about your presentation.AttachmentsIRP Template 2018.docxIRP Draft (2)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeUse of software tools10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsThis criterion is linked to a Learning OutcomeData Display15.0 ptsGood12.0 ptsFair0.0 ptsInadequate15.0 ptsThis criterion is linked to a Learning OutcomeAnalysis Procedure25.0 ptsGood20.0 ptsFair0.0 ptsInadequate25.0 ptsThis criterion is linked to a Learning OutcomeData Analysis Conclusion20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeRecommended Actions20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeDecision Approach10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsTotal Points: 100.02 IRP PresentationUpload your IRP PowerPoint presentation to this assignment.You only have four minutes, so be concise and careful with your language.Use the PowerPoint Narration tool for your slides, even if you present face to face, it is good practice.Attachments: IRP Presentation TemplateIS 3310 Presentation Rubric Fall 2018 v2CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeContentInformation on slides reflects understanding and effective summarization. Information has not simply been copied and pasted from another IRP memo. Information is presented in logical sequence/structure.60.0to >35.0 ptsGoodAll essential elements needed to explain the analyiss and decision are present.35.0to >10.0 ptsAdequateMissing an essential element that explains the analysis and recommendation.10.0to >0 ptsInadequateTwo or more essential elements needed to understand the analysis are missing.60.0ptsThis criterion is linked to a Learning OutcomeDesignEasy to read, good color choices, no eye charts. Appropriate use of charts, graphs, and images to effectively communicate to the audience.15.0to >13.0 ptsGoodGreat design, color choice. Appropriate charts, graphs, tables, etc. are used in the presentation to promote the narrative.13.0to >10.0ptsAdequateSome charts, graphs, tables, etc. are used in the presentation to promote the narrative.10.0to >0 ptsInadequatePoor use of images, tables, etc. to explain the analysis and recommendation.15.0ptsThis criterion is linked to a Learning OutcomeUse of language (Grammar and Word Choice)Presentation is free of spelling and grammatical errors10.0 ptsGoodNo noticeable errors apparent in the presentation.10.0to >0 ptsInadequateOne ore more grammar, spelling, or obvious factual errors that a good proofreading of the presentation should have caught.10.0ptsThis criterion is linked to a Learning OutcomePresentationPresenter spoke clearly and slowly enough to be heard by the audience. Presenter effectively communicated their recommendation based on their analysis.15.0 ptsVery good.Clear, well spoken, not rushed. Presenation was organized logically, and effectively communicated the presenter's recommendation.10.0 ptsAveragePresenation was understandable, but was rushed and not logically arranged.5.0 ptsCould be betterThe speaker was hard to understand, rushed through the presentation, are had annoying habits that made following the15.0pts3 IRP MemorandumIn this Independent Research Project (IRP), students provide a business decision recommendation using SAS primarily and Excel as needed to obtain real world data. The student will create and submit a business report that clearly communicates a recommendation based on their analysis of the data set that includes an analysis of different courses of action using weighted factors. The students will also create a Power Point presentation that summarizes their IRP and present their analysis live, via video-teleconference or as a recorded video presentation. The student will also answer questions about their presentation.DELIVERABLE:ATTACH:IRP MEMORANDUM TEMPLATEIRP Memo Final (3)IRP Memo Final (3)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeSalutationIdentify the audience for this IRP3.0 ptsGoodDate, From, To lines correct.1.0 ptsFairOne or more items incorrect.0.0 ptsInadequateTwo or more items incorrect.3.0 ptsThis criterion is linked to a Learning OutcomeSubject LineShould relate to the topic, be interesting.3.0 ptsGoodSubject line is relevant and informative.1.0 ptsFairSubject line is not relevant to the IRP.0.0 ptsInadequateSubject line does is not informative.3.0 ptsThis criterion is linked to a Learning OutcomeIntroductionSummary of the whole IRP. You may not be able to write this portion until you have finished the rest of the paper.26.0 ptsGoodParagraph 1: Summary of IRP. Paragraph 2: Discussion of tools and data. Paragraph 3: Summary of findings, analysis conclusion, and recommendation.16.0 ptsFairMissing one of the introduction paragraphs, or not well written.5.0 ptsInadequateMissing two or more of the relevant parts of the introduction, or not written well.26.0 ptsThis criterion is linked to a Learning OutcomeIssue IdentificationRequires critical thinking and creative thinking.12.0 ptsGoodClearly discussed the problem that the analysis is investigating. Clearly identified a primary issue.10.0 ptsFairDiscussed the primary issue that is being investigated somewhat, but not clearly identify the problem.5.0 ptsInadequateDiscussed a symptom of the problem only.12.0 ptsThis criterion is linked to a Learning OutcomeIssue AnalysisHow are you going to investigate your problem with this data?12.0 ptsGoodClearly discussed analysis plan (specifically mentions ANOVA, Linear Regression, or other analysis method). Clearly states research question in plain language. Correctly states statistical question that matches research question (null and alternative hypotheses).7.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more of the elements of this section.12.0 ptsThis criterion is linked to a Learning OutcomeDataWhere did the data come from? What did you do to prepare it for analysis?9.0 ptsGoodClearly discussed data: 1) Source 2) Any data cleansing required (treatment of outliers?) 3) Appropriate descriptive statistics table included.6.0 ptsFairMissing one of the required elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeAnalysis9.0 ptsFull MarksClear discussion of analysis: 1) Identify variables (independent, dependent, type) 2) Relevant charts and tables 3) Discussion references any charts, tables, values (pvalue, etc.) needed to reach conclusion.6.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeConclusion9.0 ptsFull MarksClearly discussed analysis conclusion: 1) Analysis results (significant, not significant) 2) Hypothesis conclusion (accept, reject) 3) Impact of your conclusion as it relates to the problem you identified in the "Issue Identification" section.6.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeCOA'sCourse of Action Development8.0 ptsFull MarksStudent developed three or more courses of action (COA's) to the problem based on a better understanding of the problem obtained by their analysis. COA could optimize ROI, optimize time, optimize, optimize impact on people, "status quo", etc.6.0 ptsFairStudent developed two or more possible solutions.2.0 ptsInadequateStudent did not develop any possible solutions to the problem, or it was not clear that they understood how to think critically about solutions to the problem.8.0 pts
4 pages
Problem Set 2
1. ) As part of your retirement planning, you purchase an annuity that pays 3.75% annual a. If you make quarterly payments ...
Problem Set 2
1. ) As part of your retirement planning, you purchase an annuity that pays 3.75% annual a. If you make quarterly payments of $500 how much will you ...
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