Statistics
islandquietblueHelp completing final submission for statistics
3 years ago
20
files (3)ST3001assessmenttemplate1.docx
ST3001_Rubric1.pdf
- Part12instructions.html
ST3001assessmenttemplate1.docx
ST3001 Assessment Template
Prepared by: Replace this text with your name.
Date: Replace this text with the submission date.
Page 2 of 2
Describing and Graphing Data
Part 1 — Identifying Variables in a Published Study
Choose an article from the list provided.
All articles are available in full text in the Walden Library. You may also read the abstract for each by copy and pasting the full DOI address into a web browser. Read the abstract for your chosen article then answer the questions that follow. Be sure to provide an explanation for each of your answers and include supporting evidence from the text and/or Learning Resources.
Write responses to address the following in paragraph form by inserting your answers directly beneath the questions.
1. In your own words, briefly describe the study and what it covered as if explaining it to someone who has not read the abstract information.
2. What sample was used in the study? Explain your answer and provide supporting evidence from the textbook or other resources.
3. What population does this sample best represent? Explain your answer and provide supporting evidence from the textbook or other resources.
4. Identify at least one variable examined in this study. Classify this variable as quantitative or qualitative. Explain your answer and provide supporting evidence from the textbook or other resources.
5. Explain the level of measure for the variable identified in Section 4. Explain your answer and provide supporting evidence from the textbook or other resources.
6. Determine if the study is overall a quantitative or qualitative study. Justify your reasoning using at least two key aspects for the type of study you chose. Explain your answer and provide supporting evidence from the textbook or other resources.
Part 2 — Data Analysis
The following should be based on the data set you created from the larger BODY DATA data set using the instructions provided.
Creating Graphical Displays of Data
Replace this text with your Excel output created using the following instructions:
Copy and paste three graphs made in Excel here.
1. Using the column labeled Smoker (not sorted by smoking status), create an appropriate graphical display to clearly show the breakdown of smokers and nonsmokers in your data set.
2. Copy and paste your graph from Excel here. Write a one-sentence interpretation of what the graph display.
3. Create a histogram for the column labeled BMI (not broken down by smoking status). Use a bin width of 2. Start the bins at your minimum data point as appropriate for your data set. Write a one-sentence interpretation of what the graph display.
4. Create two modified box plots for BMI, one for smokers one for nonsmokers. Write a one-sentence interpretation of what the graph display.
Descriptive statistics
Replace this text with your Excel output created using the following instructions:
Use the data analysis tool pack to create two tables of descriptive statistics, one for smokers and one for nonsmokers using the columns created in step 7 in the preparation section. Copy and paste those statistics here.
Comparing data
Replace this text with your response to the following:
Use these statistics to answer the following questions comparing smokers to nonsmokers. Be sure to provide values from your Excel output to support your reasoning.
1. Which group has an BMI that is typically higher? Be sure to write at least one sentence justifying your reasoning including values from the excel output.
2. Which group has greater variation in their BMI? Be sure to write at least one sentence justifying your reasoning including values from the excel output.
3. Do you suspect any outliers are present in the BMI for each group? Be sure to justify your reasoning.
References
Include appropriately formatted references to scholarly sources to support the statements made in your report. Please refer to the Academic Writing Expectations Checklist for more information.
ST3001_Rubric1.pdf
©2023 Walden University 1
ST3001: Descriptive Statistics: Analyze data relative to central tendency, dispersion, and graphical displays.
Assessment Rubric
Rubric Criteria Does Not Meet Expectations
Meets Expectations Exceeds Expectations
Variables in a published study Describe chosen study. Response is incorrect for
chosen study or omits key portions of study.
Response briefly describes study without sufficient detail to understand study as a whole.
Response provides exemplary detailed explanation of study and what it contains.
Identify sample in study.
Response is incorrect.
Response accurately identifies the sample used in the study.
Response gives an exemplary explanation of sample used and provides supporting evidence.
Identify population in study.
Response is incorrect.
Response accurately identifies the population used in the study.
Response gives an exemplary explanation of population used and provides supporting evidence.
Determine if the data is quantitative or qualitative. LO1: Identify quantitative and qualitative data
Response is incorrect.
This rubric does not have a “Meets Expectations” option and will be graded as either “Does Not Meet Expectations” or as “Exceeds Expectations.” Faculty, please do not select this option.
Response accurately identifies the type of data represented.
©2023 Walden University 2
Explain how you determined the type of data. LO2: Justify identification of quantitative and qualitative data
Response gives an explanation that does not apply.
Response gives a valid explanation of why a type of data was selected.
Response gives an exemplary explanation of why a type of data was selected and supporting material is referenced.
Determine the level of measurement of a data set. LO3: Identify the level of measurement of data sets
Response is incorrect. This rubric does not have a “Meets Expectations” option and will be graded as either “Does Not Meet Expectations” or as “Exceeds Expectations.” Faculty, please do not select this option.
Response accurately identifies the level of measurement.
Explain how you determined the level of measurement. LO4: Justify identification of levels of measurement
Response gives an explanation that does not apply.
Response gives a valid explanation of why a level of measurement was selected.
Response gives an exemplary explanation of why a level of measurement was selected and provides supporting evidence.
Determine if study is quantitative or qualitative in nature.
Response is incorrect. Response gives a valid explanation as to type of study completed.
Response gives an exemplary explanation of type of study and provides supporting evidence.
Graphical representation of data Create qualitative graph.
Graph is not appropriate for qualitative data or does not accurately display data or no caption is present.
Response includes appropriate graph but graph lacks labels or caption lacks detail.
Response includes an exemplary graph with clear labels and detailed caption.
Create histograms. LO3: Create histograms
Response includes a histogram with incorrect bin widths, or no caption is present.
Response includes a histogram with accurate number displays but lacks labels or caption lacks detail.
Response includes an exemplary histogram with clear labels and detailed caption.
Create box plot. LO3: Create histograms
Response includes a box plot with incorrect values, or no caption is present.
Response includes a box plot with accurate number displays
Response includes an exemplary box plot with clear labels and detailed caption.
©2023 Walden University 3
but lacks labels or caption lacks detail.
Measures of Central Tendency Find the mean, median, and midrange. LO1: Calculate measures of central tendency
Response accurately calculates only one or two measures of central tendency.
This rubric does not have a “Meets Expectations” option and will be graded as either “Does Not Meet Expectations” or as “Exceeds Expectations.” Faculty, please do not select this option.
Response accurately calculates the mean, median, and midrange of the data set.
Measures of Variation Find the range, variance, and standard deviation. LO1: Calculate measures of dispersion
Response accurately calculates only one or two measures of dispersion.
This rubric does not have a “Meets Expectations” option and will be graded as either “Does Not Meet Expectations” or as “Exceeds Expectations.” Faculty, please do not select this option.
Response accurately calculates range, variance, and standard deviation for a data set.
Module 5: Interpreting Data Explain conclusions about a measure of central tendency. LO1: Interpret measures of central tendency
Response includes a conclusion that is vague or incomplete, or the conclusion does not relate to the data or measures of central tendency.
Response offers one valid, complete conclusion that is in line with the data and relates directly to measures of central tendency.
Response offers an exemplary conclusion that is valid and complete while in line with the data and relates directly to measures of central tendency.
Explain conclusions about variability.
LO2: Interpret measures of variability
Response includes a conclusion that is vague or incomplete, or the conclusion does not relate to the data or to measures of variability.
Response offers one valid, complete conclusion that is in line with the data and relates directly to the measures of variability.
Response offers an exemplary conclusion that is valid and complete while in line with the data and relates directly to the measures of variability.
Identify outliers. LO3: Interpret the shape of distributions
Response indicates incorrect outliers or fails to identify all outliers.
Response correctly identifies all outliers complete with explanation.
Response offers an exemplary explanation for identification of all correct outliers.
©2023 Walden University 4
Professional Writing Professional Writing: Clarity, Flow, and Organization
Content contains significant spelling, punctuation, and/or grammar/syntax errors. Writing does not demonstrate adequate sentence and paragraph structure and requires additional editing/proofreading. Key sections of presented content lack clarity, logical flow, and/or organization.
Content contains few spelling, punctuation, and/or grammar/syntax errors. Writing demonstrates adequate sentence and paragraph structure and may require some editing. Content presented is satisfactorily clear, logical, and/or organized, but could benefit from additional editing/revision.
Content is free from spelling, punctuation, and grammar/syntax errors. Writing demonstrates appropriate sentence and paragraph structure. Content presented is clear, logical, and well- organized.
Professional Writing: Context, Audience, Purpose, and Tone
Content minimally or does not demonstrate awareness of context, audience, and/or purpose. Writing is not reflective of professional/scholarly tone and/or is not free of bias. Style is inconsistent with the professional setting/workplace context and reflects the need for additional editing.
Content demonstrates satisfactory awareness of context, audience, and purpose. Tone is adequately professional, scholarly, and/or free from bias, and style is mostly consistent with the professional setting/workplace context.
Content clearly demonstrates awareness of context, audience, and purpose. Tone is highly professional, scholarly, and free from bias, and style is appropriate for the professional setting/workplace context.
Professional Writing: Originality, Source Credibility, and Attribution of Ideas
Content does not adequately reflect original writing and/or paraphrasing. Writing demonstrates inconsistent adherence to reference requirements, including the use of credible evidence to support a claim, with appropriate source attribution (when applicable) and reference. There are numerous and/or significant errors.
Content adequately reflects original writing and paraphrasing. Writing demonstrates adequate adherence to reference requirements, including the use of credible evidence to support a claim, with appropriate source attribution (when applicable) and references. There are one or two minor errors.
Content reflects original thought and writing and proper paraphrasing. Writing demonstrates full adherence to reference requirements, including the use of credible evidence to support a claim, with appropriate source attribution (when applicable) and references.
©2023 Walden University 5
Interpreting Data & Quantitative Fluency: Interpret quantitative data in order to analyze issues and make decisions. 0
Not Present 1
Needs Improvement 2
Meets Expectations LO1: Identify conclusions from numeric information presented in narrative and/or graphic form
No conclusions are made based on numeric information.
Connections between conclusions and numeric information are vague or inaccurate.
Conclusions identified are appropriately connected to the numeric information.
LO2: Use both narrative and graphic form to explain the same data
Graphs and/or narrative is not present.
Supportive connection between narrative and graph is not clearly explained.
Narrative explanation of quantitative data explains the graph and the graph illustrates and clarifies the narrative.
