# Computer Homework help-R, Statistical Report

Computer Homework help-R, Statistical Report

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Requirement:

For the computer homework questions, please use the report format:

First, answer the questions in complete sentences, using the output text

or figures as evidence to support your answer; then, attach the program

codes (with comments to code more readable) as an appendix by the

end of the statistical report. When you copy and paste the text part,

please box them and treat them as tables. Please label all your figures

and tables. The code in your appendix may contain extra code you have

used or explored, but should be executable (no errors).

1.Please use R to summarize the Men’s triple jump Olympic records.

1. Please report the five number summaries of the jumping distance.
2. Please construct a scatter plot with a regression line.
3. What are the covariance and correlation between “year” and

“distance”? Please interpret your result in the context.

Year    Distance

1896    13.71

1900    14.47

1904    14.35

1908    14.92

1912    14.64

1920    14.50

1924    15.53

1928    15.21

1932    15.72

1936    16.00

1948    15.40

1952    16.22

1956    16.35

1960    16.81

1964    16.85

1968    17.39

1972    17.35

1976    17.29

1980    17.35

1984    17.25

1988    17.61

1992    18.17

1996    18.09

2000    17.71

2004    17.79

2008    17.67

2012    17.81

2016    17.86

1. Please use R to summarize Labor Data (please see the file “Labor Data”). You can choose whatever plots and tables to present, as long as they are meaningful. What can you

find from this collected data?

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Computer Homework help-R, Statistical Report

# SPSS Data Analysis Assignment Guide

Worth 30%

The SPSS Data Analysis Assignment gives you an opportunity to work with, analyse, and report psychological data. You have been provided with a data set from a study that examines how the size of an ostracising group influences individuals’ sense of belonging and self-esteem. At the end of this guide, you will find a skeleton lab report that includes introduction, method, and references sections. These sections give you more detail about the theoretical backgrounds, aims, and methodology, and can be directly copied into your report.

Note: Please refer to tutorial notes for SPSS (SPSS file is not the same shown in tutorial notes).

Here are some guidelines for how to complete this assignment

1. Start by reading the introduction and method section provided at the end of this guide. This will give you background information about the study and details of the method. Think about how you would complete the hypotheses based on the information provided in the introduction section. Pay attention to the independent and dependent variables in the method section. Think about how you would test these hypotheses in SPSS.
2. Open the data file in SPSS.
1. Go into “variable view” and for each variable, put in a variable label and set the type of measure. Enter labels for the values as appropriate (when we need to know what each number means). Here is more information about the variables:
• PartID is a participant ID number arbitrarily assigned by the researcher
• Age is participants’ age in years
• Gender is participants’ gender: 1 = male, 2 = female, 3 = other
• Grpsize is size of the ostracising group: 1 = small group, 2 = large group
• BELsc is the average of the 5 belonging items [I feel disconnected (reverse scored), I feel like an outsider (reverse scored), I feel that others interact with me a lot, I feel rejected (reverse scored), and I feel that I belong to a group]. Higher scores indicate higher levels of belonging.
• SE1-5 are the five self-esteem items: [SE1-I feel good about myself, SE2-I feel insecure (reverse scored), SE3-I feel satisfied, SE4-My self-esteem is high, SE5-I feel liked]. For all items, higher numbers indicate higher self-esteem.

1. Calculate a new variable that is the average of SE1-5. You don’t need to do any reverse scoring – it has already been done. Just average them together. Give this variable a meaningful label and adjust the scale of measurement as needed.
2. Compute descriptive statistics for age and gender [M (SD) or N/n (%), as appropriate for each variable].
3. Conduct the necessary assumption tests for the inferential statistics you plan to use.
4. Conduct the inferential statistics that allow you to test your hypotheses (e.g., t-tests).
5. Save your SPSS data (.sav) and output (.spv) files (NEED TO UPLOAD BOTH FILES)
6. Calculate Cohen’s d for effect size (http://www.psychometrica.de/effect_size.html#cohen).
1. Create a new Microsoft Word document for your assignment.
1. Copy in the Introduction, Method, and Reference section from the end of this guide. You will add hypotheses to the introduction, participant information to the method, and then write the results and discussion section. The word limit for the new text you create (hypotheses, participants, results, discussion) is 800 words. The provided text does not add to this word count. The assignment should be presented in APA style (e.g., double-spaced, size 12 Times New Roman font), and it must use an appropriately formatted title page, headings, running head, tables and reporting style.
2. Hypotheses: In your new document, remove the research questions text and write the research hypotheses. For research question 1, develop a hypothesis that states the expected difference in belonging for participants who were ostracised by the small and large groups. For research question 2, develop a hypothesis that states the expected difference in self-esteem for participants who were ostracised by the small and large groups. Remember to state your hypotheses in terms of operationalised variables.
3. Participants: Add a participants section to the method that gives descriptive information about the sample. State how many participants took part in the study. Insert your paragraph summarising the characteristics of the sample under a Participants sub-heading within the Method section. Remember to use complete sentences when characterising the sample.
4. Results: Report the results of your analyses in a Results section.
1. Report the details of your assumption testing.
2. Create a table to convey the descriptive statistics that map onto your inferential tests (M and SD for each DV at each level of the IV, n for each condition). Note that the table and its caption must conform to APA style. Never copy and paste a table from the SPSS output into your report.
• Report the results of your inferential tests (t-tests), including the t-test statement and the effect size (Cohen’s d), and reference to the relevant means that you displayed in the table. You should not repeat the numbers that were presented in the table, in the text, but you may refer to them. In your Results section, link your hypotheses to your analyses (e.g., “To test the hypothesis that …., an independent-samples t-test was conducted comparing…”);
1. Discussion: Interpret your results in a Discussion section. State the aim(s) of the study. Describe, summarise and explain the results. State whether the results are consistent with your hypotheses and the previous research summarised in the Introduction section you were provided. Provide some insight and explanation as to the relevance, importance, or implications of the findings in the context of the research questions. Identify any limitations of the study, and suggest some avenues for future research that directly follow from the limitations identified or results obtained. Finish your Discussion section with a strong concluding paragraph. You are not required to search for additional research articles.
1. This report will be submitted electronically using the Turnitin link on the SPSS assignment section. You will need to submit three separate files in the appropriate tabs in turnitin.
2. the electronic version of the report that is handed in (word or pdf file)
3. The SPSS data file with all appropriate labels (.sav file)
4. The SPSS output file with all output that is used in the report (.spv file)

SPSS Data Analysis Assignment Rubric

 NN PA CR DI HD SPSS data file (5%) Major errors/omissions in the scale of measurement, variable labelling, and/or value labelling. OR New variable not computed. A major error/omission or many minor errors/omissions in the scale of measurement, variable labelling, and/or value labelling. OR error in the computation of new variable. New variable computed correctly. Minor errors or omissions in the scale of measurement, variable labelling, and/or value labelling. New variable computed correctly. A minor error or omission in the scale of measurement or variable labelling. All values labelled correctly where needed. New variable computed correctly. All scales of measurement specified correctly, appropriate labels provided for every variable, all values labelled correctly where needed. SPSS output (10%) Inferential statistics are missing or incorrect. Inferential statistics are correct and complete, with a major error/omission or many minor errors/omissions in assumption testing and/or descriptive statistics. Inferential statistics are correct and complete, with minor errors or omissions in assumption testing and/or descriptive statistics. Inferential statistics are correct and complete, with a minor error or omission in assumption testing or descriptive statistics. All analyses (assumption testing, descriptive statistics, inferential statistics) are correct and complete. Hypotheses (5%) Hypotheses are missing or incorrect. Hypotheses are partially correct. Hypotheses are mostly correct. Hypotheses are correct. Hypotheses are correct and clearly stated. Results (40%) No results or substantially incorrect or incomplete results are provided, poor attempt to report results Incomplete descriptive and inferential statistics reported, consistent errors in reporting style Appropriate reporting with some errors or omissions in the reporting of descriptive and inferential statistics Appropriate and accurate presentation of descriptive and inferential statistics, all relevant information reported, description may lack clarity or precision at points Clear and accurate reporting of analyses (assumption testing, descriptive, inferential), good use of tables/figures Discussion (30%) No discussion or very poor discussion providing incorrect interpretation, with results not linked to research question, inadequate conclusion Satisfactory discussion of results, may be inaccuracies in interpretation, some irrelevant or confusing information, conclusions may be weak Sound discussion of results in relation to research question/literature, generally appropriate interpretation of findings and conclusion matches research question, may lack clarity and include some inaccuracies in interpretation Good discussion of results relating to research questions/literature, good insight regarding interpretations and conclusions, may lack clarity at points Very well written discussion, appropriate reference to research questions/literature, excellent interpretation and understanding of findings, strong conclusion Presentation (10%) Poor written expression, grammar and spelling, poor APA formatting Satisfactory writing style and presentation, with substantial room for improvement in writing style and APA formatting Most areas of presentation are good, may include some consistent errors in APA formatting Good written expression and grammar, may include some minor APA formatting errors Clear written expression, grammar and spelling. Formatting meets APA guidelines

# SPSS Analysis

SPSS Analysis

1) For the variable HOME, what are the modes? Is the data normally distributed?

2) For the variable ARREST, what are the modes? Is the data normally distributed?

3) Why are we concerned about the distribution of data?

4) What difference does it make in the case of each of the variables (HOME and ARREST) if the data is not normally distributed?

All of the questions refer to the results of the SPSS analysis presented on pages 161-165 of the textbook.

Which is the download plus show your word use references

Answer by the number must be answer by number