- \n
- Analyze variables in datasets<\/li>\n
- Run statistical analyses on variables<\/li>\n
- Analyze statistical measures in case studies<\/li>\n<\/ul>\n
Learning Resources<\/p>\n
Required Readings<\/p>\n
Gerstman, B. B. (2015).\u00a0Basic biostatistics: Statistics for public health practice<\/em>\u00a0(2nd ed.). Burlington, MA: Jones & Bartlett Learning.<\/p>\n
Chapter 3, \u201cFrequency Distributions\u201d (pp. 43\u201374)<\/p>\n
Chapter 3 (PDF)<\/a><\/p>\n
<\/p>\n
Chapter 4, \u201cSummary Statistics\u201d (pp. 77\u2013103)<\/p>\n
Chapter 4 (PDF)<\/a><\/p>\n
StatTrek.com. (2014). How to measure variability in a data set [Online tutorial]. Retrieved from http:\/\/stattrek.com\/sampling\/variance.aspx<\/a><\/p>\n
StatTrek.com. (2014). Statistics and probability dictionary. Retrieved from http:\/\/stattrek.com\/statistics\/dictionary.aspx<\/a><\/p>\n
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WE’VE HAD A GOOD SUCCESS RATE ON THIS ASSIGNMENT. PLACE THIS ORDER OR A SIMILAR ORDER WITH PapersSpot AND GET AN AMAZING DISCOUNT<\/h4>\n
![\"\"](\"https:\/\/homeworkaider.com\/wp-content\/uploads\/2019\/11\/weer.png\")
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Document: Week 2 Assignment 1 Worksheet: Hands on SPSS! – Rubric Included (Word document)<\/a><\/strong><\/p>\n
<\/p>\n
Optional Media<\/p>\n
Walden University Academic Skills Center (2014). Descriptives in SPSS<\/em>. Retrieved from https:\/\/www.youtube.com\/watch?v=jsVtbt1GZuw&index=5&list=PLNgQgQNniJ27TnqqnkExqIy_mK9e42YaPf<\/a><\/p>\n
<\/p>\n
Assignment 1: Hands on SPSS!<\/p>\n
As you review the Learning Resources this week on frequency distributions, you begin to understand the importance of tables and graphs which may assist public health professionals describe the shape, location, and spread of a distribution. A frequency distribution is an organized table or graphical representation of the number of individuals in each category on the scale of measurement (Manikandan, 2011). In addition, it allows the researcher to have a glance at the entire data conveniently. As you become familiar with various concepts, you will begin to ask yourself several questions such as:<\/p>\n
Is the distribution symmetrical? Are there extreme values? Is there skewness? Given the shape of this distribution, is the mean the appropriate measure of central tendency, why or why not?<\/p>\n
For this Assignment, review this week\u2019s Learning Resources. Reflect on how you may use the dataset to perform statistical procedures in SPSS. Complete the worksheet provided in this week\u2019s Learning Resources.<\/p>\n
WE’VE HAD A GOOD SUCCESS RATE ON THIS ASSIGNMENT. PLACE THIS ORDER OR A SIMILAR ORDER WITH PapersSpot AND GET AN AMAZING DISCOUNT”<\/h4>\n
<\/a><\/p>\nThe Assignment<\/strong><\/p>\n
Complete the Week 2 Assignment Worksheet using the Excel dataset provided by the instructor. Be sure that your completed worksheet contains the SPSS codebook for your data file, your responses to all questions, and all of the required SPSS output.<\/p>\n
By Day 7<\/p>\n
Submit<\/strong>\u00a0the Assignment.<\/p>\n
Submission and Grading Information<\/p>\n
To submit your completed Assignment for review and grading, do the following:<\/strong><\/p>\n
- \n
- Please save your Assignment using the naming convention \u201cWK2Assgn1+last name+first initial.(extension)\u201d as the name.<\/li>\n
- Click the\u00a0Week 2 Assignment 1 Rubric\u00a0<\/strong>to review the Grading Criteria for the Assignment.<\/li>\n
- Click the\u00a0Week 2 Assignment 1\u00a0<\/strong> You will also be able to \u201cView Rubric\u201d for grading criteria from this area.<\/li>\n
- Next, from the Attach File area, click on the\u00a0Browse My Computer<\/strong> Find the document you saved as \u201cWK2Assgn1+last name+first initial.(extension)\u201d and click\u00a0Open<\/strong>.<\/li>\n
- If applicable: From the Plagiarism Tools area, click the checkbox for\u00a0I agree to submit my paper(s) to the Global Reference Database<\/strong>.<\/li>\n
- Click on the\u00a0Submit<\/strong>button to complete your submission.<\/li>\n<\/ul>\n
Grading Criteria<\/p>\n
To access your rubric:<\/p>\n
Week 2 Assignment 1 Rubric<\/p>\n
<\/p>\n
Check Your Assignment Draft for Authenticity<\/p>\n
To check your Assignment draft for authenticity:<\/p>\n
Submit your Week 2 Assignment 1 draft and review the originality report.<\/p>\n
<\/p>\n
Submit Your Assignment by Day 7<\/p>\n
To submit your Assignment:<\/p>\n
Week 2 Assignment 1<\/p>\n
<\/p>\n
Assignment 2: Journal Article Review<\/p>\n
Selecting statistical measures can be challenging because each situation may be different. As you review your learning resources this week, you will become familiar with several statistical measures such as measures of central location, variability, standard deviation, box plots and much more.<\/p>\n
For this Assignment, revisit the journal article from last week.<\/p>\n
The Assignment (1\u20132 pages)<\/strong><\/p>\n
- \n
- Summarize the major results of the study<\/li>\n
- Describe the information presented in tables and\/or graphs<\/li>\n
- Briefly summarize the major conclusions of the study<\/li>\n<\/ul>\n
By Day 7<\/p>\n
Submit<\/strong>\u00a0your Assignment.<\/p>\n
Submission and Grading Information<\/p>\n
To submit your completed Assignment for review and grading, do the following:<\/strong><\/p>\n
- \n
- Please save your Assignment using the naming convention \u201cWK2Assgn2+last name+first initial.(extension)\u201d as the name.<\/li>\n
- Click the\u00a0Week 2 Assignment 2 Rubric\u00a0<\/strong>to review the Grading Criteria for the Assignment.<\/li>\n
- Click the\u00a0Week 2 Assignment 2\u00a0<\/strong> You will also be able to \u201cView Rubric\u201d for grading criteria from this area.<\/li>\n
- Next, from the Attach File area, click on the\u00a0Browse My Computer<\/strong> Find the document you saved as \u201cWK2Assgn2+last name+first initial.(extension)\u201d and click\u00a0Open<\/strong>.<\/li>\n
- If applicable: From the Plagiarism Tools area, click the checkbox for\u00a0I agree to submit my paper(s) to the Global Reference Database<\/strong>.<\/li>\n
- Click on the\u00a0Submit<\/strong>button to complete your submission.<\/li>\n<\/ul>\n
Grading Criteria<\/p>\n
To access your rubric:<\/p>\n
Week 2 Assignment 2 Rubric<\/p>\n
<\/p>\n
Check Your Assignment Draft for Authenticity<\/p>\n
To check your Assignment draft for authenticity:<\/p>\n
Submit your Week 2 Assignment 2 draft and review the originality report.<\/p>\n
<\/p>\n
Submit Your Assignment by Day 7<\/p>\n
To submit your Assignment:<\/p>\n
Week 2 Assignment 2<\/p>\n
<\/p>\n
Discussion: Optional Study Group Discussion (SGD)<\/p>\n
Whether you are assisting your colleagues or asking for assistance, it is recommended you participate in the SGDs each week, with an initial post intended to spark a conversation and then through interacting with your colleagues\u2019.<\/p>\n
To prepare<\/strong><\/p>\n
Review the Learning Resources for this week and reflect on any concepts or material that you found interesting or challenging for discussion with your colleagues.<\/p>\n
By Day 5<\/p>\n
Ask and answer questions, collaborating with your peers to gain a robust understanding of the concepts presented in the Discussion or Assignments for the week.<\/p>\n
This post, and future SGD posts for this course, should be written to spark discussion among your colleagues. In other words, your post should not contain a statement of fact or a list of solutions to the exercises. Do not be afraid to ask for help, and do not be hesitant to offer it. Remember to conduct yourself professionally and patiently with your colleagues.<\/p>\n
By Day 7<\/p>\n
Engage in discussion with your colleagues<\/strong>\u00a0by contributing multiple meaningful, substantive ideas, suggestions, and insights on the focus topic. Present your written contributions in a polished, professional manner.<\/p>\n
Submission and Grading Information<\/p>\n
Post by Day 5 and Respond by Day 7<\/p>\n
To participate in this Discussion:<\/p>\n
Optional Study Group Discussion<\/p>\n
<\/p>\n
Week in Review<\/p>\n
This week<\/strong>, you analyzed variables in datasets and statistical measures in case studies. You also ran statistical analyses on variable.<\/p>\n
Next week<\/strong>, you will examine statistical analysis and explore factors that contribute to the relevance or irrelevance of a sample size. You will consider concepts related to probability distributions, including normal distribution.<\/p>\n
Looking Ahead<\/p>\n
Your Final Project report is due in Week 11. You will explore the Final Project datasets provided in the Course Information tab and select one database that includes both an independent and dependent variable that relates to a public health topic of interest. You will develop a problem statement (or research question) related to your topic and chosen data set\/variables and then follow the steps of the research process to address that problem (answer your research question).<\/p>\n
Although the final report is due in Week 11, you will submit certain components of the Final Project in specific weeks during the term and will receive feedback that you will incorporate into your final report. The Final Project will consist of the following parts to be completed during the weeks noted below.<\/p>\n
- \n
- Topic, Statement of the Problem, and Annotated Bibliography (2\u20133 pages)\u2014 Week 4<\/li>\n
- Literature Review, Hypothesis, and Significance (2\u20133 pages)\u2014Week 6<\/li>\n
- Methods (1 page)\u2014Week 7<\/li>\n
- Results (2\u20134 pages)\u2014Week 9<\/li>\n
- Final Report: includes re-submission of some previous components (7\u201310 pages total)\u2014Week 11\n
- \n
- Section I: Introduction (3 pages)<\/li>\n
- Section II: Methodology (1 page)<\/li>\n
- Section III: Results (2\u20134 pages)<\/li>\n
- Section IV: Conclusions and Discussion (1\u20132 pages)<\/li>\n
- Appendices<\/li>\n
- References<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
You will begin exploring the databases in Week 3.<\/p>\n
- Click the\u00a0Week 2 Assignment 2\u00a0<\/strong> You will also be able to \u201cView Rubric\u201d for grading criteria from this area.<\/li>\n
- Click the\u00a0Week 2 Assignment 1\u00a0<\/strong> You will also be able to \u201cView Rubric\u201d for grading criteria from this area.<\/li>\n