Assessment Criteria – Assignment Tutors For You

Evaluating Sport, Exercise and Health

2500-word reassessment coursework

Students will complete two tasks, one – a chi square analysis, and two – a report based upon a research project.

Assessment Criteria

  • Outline an investigation to explore a research question or hypotheses.
  • Conduct and report appropriate methods of data collection and analysis following the conventions of sport, exercise, and health sciences.
  • Provide appropriate evidence to support results and conclusion.

·         Interpret results in a sport, exercise, and health sciences context.

  • Demonstrate appropriate style of written communication including cohesive structure, correct grammar and punctuation including correctly presenting citations and references using the conventions of APA.

Reassessment Booklet

 

Contents

Assessment Criteria. 1

Summer Support – For this assessment you will need to submit three separate Files. 2

Task 1 – Chi Square task – Task 2 – Quantitative Report & Appendices. 2

Chi-square task – General Instructions. 3

Section 1: JASP output annotation. 4

Task description. 5

Referencing. 6

Section 2: Results write-up (200 words) – Submission. 7

Study Description – Football Coaching and Performance and Sport Coaching. 8

DATASETS – Ordered by Student Number. 8

Quantitative Report task – General Instructions. 9

Deadline and formatting – Writing Style – Indicative Reading: Quantitative Analysis. 9

Research Projects – Data. 10

Report Structure – Title and Introduction. 11

Method. 12

Results Section. 14

Reporting Conventions. 15

Discussion. 16

References. 17

Appendices – Submission. 18

 

 

Summer Support

Staff will be taking annual leave over the course of the summer break.  Therefore, our response time to emails may be slower than during term time.  You can ask for tutorials by email.  I am on Annual Leave for the first two weeks of August and will not be available for tutorials.

We will not be read drafts of your work.  Tutorials will be available to ask questions about the assignment to check your understanding.

Reassessment Strategy

  • Read this assessment guide carefully.
  • Highlight important points
  • Read the feedback provided for previous assessments
  • Highlight key points to improve
  • Read the generic feedback provided for Quantitative Report
  • Write out key areas to improve on coursework from both individual and generic feedback.
  • Plan when you are going to work. My advice, start as soon as possible.
  • Re-watch the video explanations on Chi Square and Difference tests. They are there for you to use as you work on the assignments.  You will be expected to know this material when you enter second year.
  • If you book a tutorial, prepare questions to ask before. Ask if you can record the tutorial if you think it will help you.  Take good notes.
  • Submit your work before the deadline. Review our Similarity Report.
  • Edit any areas of similarity if applicable.

 

 

 

 

 

 

 

Task 1 – Chi Square Analysis

To complete this task, you must use the dataset you are given in this booklet – each student has received their own dataset, and if you use the wrong data, you will not get any marks for your work as all results will be incorrect.  Therefore, make sure you use the dataset you are given.  Note, all sections of this work must be completed by you independently and should only represent work you have done.

The task consists of two sections that you must answer, each section is worth 50 marks for a total of 100 marks possible.  Deadline and word length information given in Table below.

Table 1.  Table of Key Information for Chi-Square Task: Chi-Square:

Word length طول كلمة
Is this a word count, word limit or word equivalent? This is a word count.  The work should meet specific lengths in terms of number of words, and the allocation of marks assigned to this part of the task is based upon this.  The textboxes with word counts indicated are what count towards the word count.
Length (in number of words)? 750
Are references included? Yes, references cited in text are included when calculating the number of words used.  The reference list is not included.
Are graphs/tables included? No, any information given in tables and figures (including labels, titles, and notes) are not included when calculating the number of words used [this includes all annotation of JASP output].
Are appendices included? No, information given in the appendices are not included when calculating the number of words used.
Penalty There is a penalty accrued on this assignment for going over or under the number of words specified above by 10%.
formatting
Weighting This assignment is worth 30% of your coursework mark
Formatting You must follow the following guidelines in formatting your work:

–          Use Font size 12

–          Use font Calibri

–          Margins should be set to Narrow

–          Put your student number in the top left header

–          Page number in top right in header

–          1.5 line spacing

–          Full Justification

–          Do not delete my instructions.

–          References must follow JSS/APA 7th style (use guide on Moodle)

–          Tables and Figures must be formatted to JSS guidelines (use guides on Moodle)

–          All work must be written in formal language, no contractions of words (i.e., write ‘do not’ rather than ‘don’t’).

The task is the chi-square task and consists of two parts:

Section 1: Run the JASP analysis and annotation (worth 50 marks)

JASP )program link( :    https://jasp-stats.org/download/

Section 2: Results write up (worth 50 marks)

You have been given an individual dataset and you will have to calculate the chi-square using JASP and write up answers to posed questions.

For all tasks on this module, there are specific guidelines on how to write up results.  The full guidelines can be found on Moodle and the relevant section is displayed in section 2.

Enter the data given on within your programme section into JASP and conduct the chi-square test using JASP.  You will need to calculate the standardised residuals in Excel.  Copy the output into Microsoft Word (Template provided) and annotate each table/figure below it in the textboxes provided.  Your annotation must include:

  • Description of the pattern of the data
  • Inclusion of inferential results formatted to given guidelines
  • Conclusion regarding the main outcome of your analysis

Any criteria thresholds listed in your annotation must be sourced (i.e., you must reference the source you used for the thresholds).  On the next page you can see an example of how to annotate a table from an JASP output – I have used a different statistical test, so the comments here do not apply to the chi-square.  It is just for illustrative purposes to show you what is meant by ‘annotation.’

Note, the more depth you go into in your annotation, the more marks you will receive.  Try to avoid leaving out any tables – annotate all tables and annotate as much of each table as you can.  If you need help understanding the JASP output, there is a reading list available on Moodle that contains a specific section for Chi Square analysis.  A total of 50 marks are available for this section.

Task description

Insert each JASP output table where indicated in your assignment booklet.  For each table there is a box that you should enter your evaluation of the results depicted in the JASP table.  You have limited space to enter your interpretation of the results so make sure you utilise the space most effectively.  You can assume that your readers know what each statistic means (in other words forego a description of what the statistic is) and use the space on describing what a value indicates.

For example, if given the following table and box:

Descriptive Statistics

  Variable 1 Variable 2
Mean 21.408 9.454
Std. Deviation 2.997 2.930
Appropriate description:

The standard deviation (s) of the first variable was 2.997. Compared to the mean (21.408) this indicates a narrow spread (O’Donoghue, 2012).  For the second variable, a smaller mean was found (9.454) but with a larger standard deviation relative to the mean (s = 2.930) (O’Donoghue, 2012).

 

NOT appropriate description:

This table shows the mean and standard deviation for each variable.  The mean is the mathematical average (O’Donoghue, 2012) and is used to measure central tendency (Howell, 2013).  The mean should only be calculated for interval data and under the condition that a variable is normally distributed (Field, 2018).

The standard deviation (SD) also displayed is a measure of spread.  A narrow SD indicates a reliable estimate of the mean, whereas a wide SD indicates a large amount of spread in the data and the mean to be a less efficient estimate of population parameters (Howell, 2014).  As with the mean, the SD is particularly susceptible to outliers, and for this reason should only be calculated on data that does not contain any of these.

 

The first box indicates an in-depth understanding of the values given in the table and would achieve a 2.1. mark.  The second box indicates no awareness of the values displayed in the box and would achieve a fail mark.  Additionally, the second box does not adhere to formatting guidelines.

The boxes shown below each output have already been formatted to the guidelines given for this assignment you do not need to alter the formatting – if you do see page 2 for guidelines.

Referencing

At the end of both sections insert your reference list.  References must be formatted to the usual guidelines (see guidelines available on the module Moodle page for further details on how to format references using APA 7th Edition [this is the version you were shown in semester 1).  Below are texts I would recommend to help you with this assignment.  Further texts are in the Reading List on the Moodle.

Fallowfield, J. L., Hale, B. J., & Wilkinson, D. M. (2005).  Using statistics in sport and exercise science research.  Lotus Publishing, Ltd. Page 134.

Field, A. (2018).  Discovering statistics using IBM SPSS (5th ed.).  Sage.  Page 402.

Goss-Sampson, M. A. (2020).  Statistical analysis in JASP: A guide for students (JASP V 0.14).  https://jasp-stats.org/wp-content/uploads/2020/11/Statistical-Analysis-in-JASP-A-Students-Guide-v14-Nov2020.pdf.  Page 135.  Page 140.

Kim, H-Y. (2017).  Statistical notes for clinical researchers: Chi-square test and Fisher’s exact test.  Restorative Dentistry and Endodontics, 42 (2), 152 – 155.  https://doi.org/10.5395/rde.2017.42.2.152.  Page 154

 

When you reference (this is additional to the normal references):

YOU MUST INCLUDE THE PAGE NUMBER FOR THE INFORMATION YOU CITE.

  • Place the page number AFTER the reference and in BLUE

Citing your sources accurately is an aspect that we expect you to do, and by listing the page numbers it will be easier for us to check that you have cited the appropriate source – and hence can award you your earned marks.  Order the page numbers in the order that you used them in the assignment.

For those wondering, I either already have the texts or I do look them up because they might be useful resources of me. 

If you have any questions in relation to this assignment, please post your question on the assignment forum.

NOTE THAT THE ADDITIONAL REQUIREMENTS FOR THE REFERENCES ARE FOR THIS PART OF THE ASSESSMENT ONLY

 

 

Write up the results of the chi-square you conducted in JASP as a stand-alone results section.  In a typical results section, you would include the following information: –

  • Type of test conducted and reported,
  • Descriptive and inferential statistics and a description of these,
  • A statement specifying whether results are significant or not,
  • If an effect size has been reported, a statement specifying the size of effect found.

The list above is not exhaustive, there are other points you may want to raise in your write-up here.  Examples of how-to write-up results of a chi-square analysis is shown in the textbooks recommended on your reading list.  You may also want to check out results sections of journal articles that has used this method of analysis to help guide your write up.  Make sure you include relevant statistics and format these according to JSS conventions.  For details of how to format descriptive and inferential results, see the guidelines posted on the module Moodle page and below.  Note that the more appropriate and correct your results are formatted and described, the more marks you will receive for your work.  A total of 50 marks are available for this section.

Table 2.  Formatting guidelines for inferential tests

Test Example of how to format results Description of formatting rules
chi-square test of association χ22 = 20.160, φc = 0.265, p < 0.001

 

“There was a significant association between the two categorical variables,”

 

Report the χ2-value, degrees of freedom, Cramér’s V, and the p-value.  Use the Greek symbol for ‘chi’ (i.e., χ) not an X, and use the Greek symbol for ‘phi’ (φ) with subscript c to denote the effect size (i.e., Cramér’s V).

Insert Symbol Character code 03C7 for χ

Insert Symbol Character code 0278 for φ

Superscript 2 after χ to make χ2.

Subscript degrees of freedom after the χ to make χ22.  The degrees of freedom change based upon the size of the table.

Put χ φ and p in italics.

Use standardised residuals (SR) to detect differences between individual observed and expected differences.

Observed and expected frequencies (or percentages) must also be reported as suitable accompanying descriptive statistics.

For Task 1 you must submit one file.

  • Chi Square Assignment
    1. Uploaded a Microsoft Word (use the Template provided) file named with your Student Number and Assignment Name e.g.
      1. 2109999 – Data Analysis Task – Chi Square.

Below is a description of a study.  You will be provided with a dataset that shows the results of this study and you need to use your individual dataset to complete the task.  The journal article is available on the Moodle page to help you gain a greater understanding of the research.

Hughes, M. & Lovell, T. (2019).  Transition to attack in elite soccer.  Journal of Human Sport and Exercise, 14, 236-253.  https:// doi.org:10.14198/jhse.2019.141.20

The aim of this study was to analyse all elements of transitions to attack in elite football.  The influence of turnover zone, turnover type and ‘on the ball’ player actions upon scoring goals and creating scoring opportunities (S.O.’s) were examined.

 

    Turnover Type
Outcome   Save Interception Tackle Other
No Scoring Opportunity Note this section has been intentionally left blank.

The data to use for this part of the assessment can be found on the next page

Scoring Opportunity

*For your data set – scoring opportunities includes goals scored.

 

 

DATASETS

2105254 Turnover Type
Outcome Save Interception Tackle Other
Scoring Opportunities (including Goals) 21 518 145 12
No Scoring Opportunity 250 3760 810 97

 

 

Task 2 – Quantitative Report

To complete this task, you must use the research question and dataset assigned to you.  All sections of this work must be completed by you independently and should only represent work you have done.  Do not ask those who completed the same report as you to share their work with you, I will be checking the originality of your reports.

The task consists of.  Deadline and word length information given in Table II below.

Table 1.  Table of Key Information for Quantitative Report:

Formatting

Weighting This assignment is worth 70% of your coursework mark
Formatting You must follow the following guidelines in formatting your work:

–          Use Font size 12

–          Use font Calibri

–          Margins should be set to Narrow

–          Put your student number in the top left header

–          Page number in top right in header

–          1.5 line spacing

–          Full Justification

–          References must follow JSS/APA 7th style (use guide on Moodle)

–          Tables and Figures must be formatted to JSS guidelines (use guides on Moodle)

–          All work must be written in formal language, no contractions of words (i.e., write ‘do not’ rather than ‘don’t’).

The formatting of the report is worth 5% of the report mark.

  • 1% will be deducted for each deviation from the formatting guide
  • 1750 words.  Therefore, you must not exceed 1925 words or be below 1575.

Quantitative Analysis

Cohen, J. (1988).  Statistical power analysis for the behavioural sciences (2nd Ed.).  New York, U.S.A.: Lawrence Erlbaum Associates.  eBook

Davis, C. (2019).  Statistical testing with jamovi and JASP open source software: Psychology.  Norwich: Vor Press.

Fallowfield, J.L., Hale, B.J. & Wilkinson, D.M. (2005).  Using statistics in sport and exercise science research.  Chichester: Lotus.  Shelfmark:796.028/FAL

Field, A. (2018).  Discovering statistics using IBM SPSS (Various Editions available).  London: Sage Shelf mark: 519.5/FIE

Halter, C. P. (2018).  Classical statistical analysis using JASP: Volume one frequentist approaches.  San Diego, CA: CreativeMinds Press Group.

Howell, D. C. (2013).  Fundamental statistics for behavioral sciences (8th Ed.).  Boston, MA: Cengage.  eBook

Hinton, P.R (2004).  Statistics explained (2nd ed.).  Hove: Routledge.  eBook & Shelf mark: 519.5/HIN

O’Donoghue, P. (2012).  Statistics for sport and exercise studies: An introduction.  London: Routledge.  eBook

Study Skills

Price, M. (2014).  Lab reports and projects in sport and exercise science: A guide for students.   Pearson

Cottrell, S. (2013).  The study skills handbook.  Palgrave MacMillan

Research Projects

The project you have been assigned comes from the data collection sessions (see Moodle page for details on your project).

The project you have been assigned is listed in the IOS4303 Quantitative Report Question Allocation document – see Assessment Section.

We have split the projects into small component parts.

You must ensure that you complete the question allocated to you.  Doing the wrong question or with the wrong variables or conditions will limit your ability to earn marks.

Experiment

Q3 Does Feedback Frequency Affect the Learning of a Novel Aiming/Shooting Task?

Data

Data for the projects is available within the Summer Assessment Section – The data has been ALTERED so you must complete a NEW ANALYSIS of the data.  You MUST USE THE ALTERED DATA set for your question, if you use the old data set you will not be awarded any marks for the results or appendices which is 25% of the report mark.

The data for the physical characteristics has been altered to match the changes in the experimental data.

The method of data collection has not been altered.

Data is available on the Moodle page, within the Summer Assessment section on Moodle

 

 

 

 

 

Report Structure

Your submission should follow this structure:

  • Title
  • Introduction
  • Method
  • Results
  • Discussion
  • References
  • Appendices

500 words                 20%

Assessment Criteria:

  • Outline an investigation to explore a research question or hypotheses.

The Title should:

  • Clearly indicate the area of research conducted within this report.
    • It is not the research question you have been set!
  • The title should be indicative of and specific to the content of the study.

The Introduction should:

  • Provide a review of literature to explain the theory that was tested with this research question. Provide a minimum of five different pieces of Sports Science literature to support your justification.
    • You may use more.
    • You will be marked down if you use less.
    • You may use the same reference multiple times.
  • Use the essay writing guidance from Semester 1 Questioning Sport Exercise and Health and Fundamentals of Sports Therapy to help review the literature and build a rationale/justification for your study.
  • Write thematically and work broad to specific.
    • I would recommend looking at the two study skills texts to support your work here, in particular Price, who explains writing style and structure of each section. See indicative reading section.
  • This section should end with your experimental (alternative) hypothesis

 

 

 

550 words 25%

Assessment Criteria:

  • Conduct and report appropriate methods of data collection and analysis following the conventions of sport, exercise, and health sciences.

The method should be made up of four parts.  Use a subheading to indicate the start of each section.

  1. Participants
  2. Research Design
  3. Procedure
  4. Statistical Analysis

The Participants section should include:

  • A description of the sample including:
    • Sample Size
      • The population participants were recruited from
      • Whether participants provide informed consent
    • Provide a suitable description of the physical characteristics of the sample
      • The number of males and females who completed the activity
        • Present the mean ± SD for males and females separately and combined of:
          • Age,
          • Height,
          • Present this information in a table.

 

The Research Design section should include:

A statement of the type of research design used.  Use the language you have learned in the module to describe your project.

  • Repeated Measures,
  • Independent Groups
  • Mixed Design

An explanation of what the Independent Variable(s) was, including a definition of the conditions within the independent variable(s).

  • This would include how participants were grouped or the order of conditions.

A statement of what the Dependent Variables was.

  • You will explain how the DV was measured in the procedure.

The Procedure section should include:

  • A description of the how the data was collected.
    • The reader should be able to replicate the methods from what you have written.
      • Include descriptions of any equipment used.
    • Refer to at least two pieces of methodological literature in this section as appropriate.
      • The experiments were planned with this in mind, and each method has this opportunity.

The procedure may contain a Data Analysis section:

  • This section is not applicable to all research questions, it will depend on your project.
  • This section is presented if there are any manipulations to data prior to statistical analysis.
    • Calculation of the data such as vertical jump height from flight time or coding of the enjoyment questionnaire.

 

The Statistical Analysis should include:

  • A conclusion regarding the distribution of the data including the criteria used with a reference
    • The checks should be presented only in the appendices including the calculated zskewness and zkurtosis ratio values.
  • The descriptive statistics used.
  • The inferential statistic(s) that were used including a reason for the choice of tests.
    • You will have to complete multiple tests to analyse your project, a minimum of three difference tests.
    • It can be the same type of test used 3 or more times.
      • This will depend on the design and assumption checks.
    • Effect size statistic(s) including criteria used (include the values) with a reference.
    • The significance level set.
    • The software used with version number.

 

DO NOT WRITE YOUR RESULTS IN THE STATISTICAL ANALYSIS SECTION.

 

150 words   20%

Assessment Criteria

  • Provide appropriate evidence to support results and conclusion.
  • Interpret results in a sport, exercise, and health sciences context.

 

You MUST perform and report a MINIMUM OF THREE inferential difference statistical tests to answer your research question.

The number of tests you complete will vary based upon the project you have; we have designed each project to provide a similar workload for each analysis.

  • It may be that you use the same test three times, it is not the case that you need to use three distinct types of inferential test. The choice of test will depend upon the research design and the assumption checks of the data.

Structure of Results

  1. Provide a clear description of the pattern of the data using descriptive statistics. Use table and graphs to help you here.
    1. Format tables and graphs according to conventions.
  1. Clearly state the conclusions of your inferential tests, including the direction of any differences found from your tests, this may be linked with your description of the pattern of the data.
  2. Inferential statistical test results should be reported using the international reporting conventions demonstrated during classes/videos (shown below).

NEVER include JASP output tables in the results section of the report.

You MUST include JASP output for your analysis as an appendix to the report to verify your results.

  • If you do not provide JASP output of your analysis, NO marks will be awarded for the results section.

 

 

Reporting Conventions

Statistic Examples Detailed guidelines
Wilcoxon W = 119.0, rb = 0.983, p < 0.001

 

“There was a significantly large decrease from pre-test to post-test, W = 119.0, rb = 0.983, p < 0.001.”

Report W, rb and p-value, for the p-value and report both rb and p to three decimals with letters italicized and include the zero before the full stop.  Report the W to one decimal only.

You can additionally also report the 95% CI for the rb value (see descriptive statistics for how to report a confidence interval).

Mann-Whitney U = 3851.0, rb = -0.054, p = 0.534

 

“There was no significant difference between the two groups, U = 3851.0, rb = -0.054, p = 0.534, and the effect size also indicated only a trivial effect present.”

Report U, rb and p-value, and report rb and p to three decimals with letters italicized and include the zero before the full stop on the r- and p-value.  If rb is negative, report it as such.

Report the U to one decimal only.  This is labelled as W in JASP

 

Report the number of participants in each group (though if this is presented in the methods section under participants, there is no need to repeat here).  You can additionally also report the 95% CI for the rb value (see descriptive statistics for how to report a confidence interval).

t-test (including Paired Samples t-test, Independent Samples t-test including Welch’s t-test) t199 = -8.199, d = 0.539, p < 0.001

 

“There was a significant difference between the two conditions, t199 = -8.199, d = 0.539, p < 0.001.”

 

 

t22 = 0.762, d = 0.245, p = 0.454

 

“The two groups were not significantly different, t22 = 0.762, d = 0.245, p = 0.454.”

 

 

Letters t, p, d are presented in italics, with small letters used for all.

The p-value is reported to three decimal places and includes a zero before the full stop.  The test statistic (t-value) and effect size d are also reported to three decimals and includes the minus sign if present.

The effect size d is calculated as difference in

means / pooled standard deviation (if using JASP).

Degrees of freedom are presented in subscript and the significance level should be presented prior to the reporting of inferential results.

 

If reporting Welch’s t-test, follow the above format, and report df rounded to nearest whole number.

 

 

 

 

 

 

 

 

 

550 words 20%

Assessment Criteria

  • Interpret results in a sport, exercise, and health sciences context.

The basic structure for a discussion follows:

  • Paragraph stating main findings

State the key findings form the results – this is different to writing the statistical conclusions from the results.

  • Consideration of the direction of your results (including effect size) in relation to the direction of results of previous literature

Put your work into context by comparing your finding to other research reports.  Do your findings:

  • Support/Not Support.
  • Link to the theory.
  • Stay close to your data (only discuss what you measured).  Each paragraph should reference your results.
    • This is not a literature review; you are discussing your findings.
  • This section should make up most of your discussion.
  • Theoretical explanation of results – why did this happen?

What reason can be provided that explains your results?  This should link to the theory that you explained within the introduction.  Consider expected and unexpected findings.

There may be competing theories that could be applied to your research findings.  Consider all competing theories (from literature).  Indicate which you think is most likely.

  • Implications of your results

How can these results be used/applied in the real world?    If we find an effect how will that influence practice in your area?

  • Limitations of your method.

What could you have done better with the data collection?  Describe any problems with the method.  Procedures often involve compromises, consider how those compromises affected the validity of your data or confidence in findings.  Be careful here, avoid using anecdotal limitations, unless you have measured evidence to support your point do not include.  For example, motivation of participants is often questioned, but unless you asked each participant about their motivation and measured it, then you should avoid such a limitation.

 

 

  • Recommendations for future research

Consider the next research topic that would follow on from your findings.  This is not about correcting the limitations of your method.

Summarising key points from discussion.  Make this a meaningful statement.  What is the take home message?  Throw away comments about limitations or stating that more research is needed should be avoided.

 

5% of this assessment.  The reference list does not count towards the word count

Assessment Criteria

  • Demonstrate appropriate style of written communication including cohesive structure, correct grammar and punctuation including correctly presenting citations and references using the conventions of APA.

 

Use the APA 7th Edition Guide on Moodle.  The section will be marked according to the following criteria.

 

5 = Perfect no errors,

4 = Minor errors in formatting (consistent presentation),

3 = Minor errors in formatting (inconsistent presentation),

2 = Major errors including missing information and or insufficient number of references used (consistent presentation),

1 = Major errors including missing information, or insufficient number of references and or missing references (inconsistent presentation),

0 = No citations or references or attempt to use guidelines.

 

As indicated above, a minimum of nine references are indicated.  I would recommend you find more as this will support your writing and give you a greater understanding of the topic area.

Reference lists that have less than five references will only be able to achieve a maximum of two for the reference list.

5% of this assessment.  The appendices do not count towards the word count

Assessment Criteria:

Provide appropriate evidence to support results and conclusion.

Appendices are a section that provides support for the main body of the report.

SUBMIT THE APPENDICES AS AN EXCEL DOCUMENT

  • JASP output of all statistical tests you have performed MUST be included. We use your output to verify your results section.
    • If you do not include the output, we cannot verify your results and thus you will not be awarded any marks for your results section (20%) or appendices (5%).
  • Normal Distribution checks including the calculated zskewness and zkurtosis ratios should be presented in this section and Histograms and Boxplots of your data. Make sure you label these.
    • You do not have to format these graphs according to academic guidelines, but please resize the graphs to a more appropriate size (10cm by 15cm approximately).
  • I would suggest having two sheets in your Excel file
    • Sheet 1 Normal Distribution checks including graphs
    • Sheet 2 Inferential Statistics
  • Uploaded the Microsoft Excel Spreadsheet named with Student number –
  • 2109999 – Quantitative Report Appendices – Q1a
    • This is NOT the same as the data sheet.

For Task 2 you must submit two files.

  • Quantitative report.
    1. Uploaded a Microsoft Word file named with your Student Number and Question number including part e.g.
      1. 2109999 – Quantitative Report – Q1a
  • Quantitative Report Appendices
    1. Upload a Microsoft Excel Spreadsheet name with your Student Number and Question number including part g.
      1. 2109999 – Quantitative Report Appendices – Q1a

Do not type your name on your work on your report or appendices.  This will cost you a mark if you do as you are violating my right to mark your work anonymously.

Do not remove the file name docx or xlsx when naming your file.  Changing the file name makes your work unreadable.