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Mathematics · Studypool

Project 1

Post ID: 3448703

Overview

MATH 146 - Project 1

Stapplet for Statistical Calculations and Graphs

Purpose

Use technology to make calculations and document given information and results. This will help you learn essential skills and experience with documenting statistical results.

Furthermore, in completing this project, make notes of how you used each of the required functions.

Instructions

  • First, create a new document in Google Documents with your EvCC email and share it with [email protected] as an editor or commenter. This will ensure that I can give you feedback to help you improve and meet the goals of the assignment.
  • Next, complete the problem set below within your document. Most of these reference problems you have likely already completed in your homework. If you already achieved at least an 80% you can re-enter the homework in Practice Mode. If you would like to continue to improve your grade, use LatePasses to extend the due date.
  • Scroll to the bottom of this document for submission instructions for this project.
  • After receiving your grade and feedback, you may resubmit the assignment within one week to earn points.

Grading Criteria

One point will be given for each of the skills below for attaining the given benchmark. This works out to 0.5 point per problem per skill. Open the linked spreadsheet below for the full rubric.

Table 1a: Skills Benchmarks

Skill

Benchmark

Effective Communication

Clear and useful labels for homework names, problem numbers, given information and required solutions

Analytical Thinking

Correct use of required tools and methods to correctly answer questions and complete tasks as they are assigned

Societal Impact

Information is relayed with appropriate context such as units, labeled solutions, and complete answers to questions

Resources

Problem Set

Document the following tasks.

[HW 2A] Data Summaries and Graphical Displays, #1

  • The given raw dataset, presented as a table with an appropriate label above. For example: “Table 1: Ages of n lottery winners” using the appropriate n to match your sample size.
    Note: This is not the same as the frequency table by age group. I want the original dataset.
  • Summary statistics from Stapplet.com One Quantitative Variable, Single Group, presented as a table with an appropriate label above. For example: “Table 2: Summary Statistics for lottery winners’ ages from Table 1 (in years).”
  • A histogram generated by Stapplet.com One Quantitative Variable, Single Group (using a class width of 10) presented as a cropped screenshot with an appropriate label above and variable label. For example: “Figure 1: Histogram of lottery winners’ ages from Table 1 (in years)” and an x-axis label of “Age (in years)”

[HW 2A] Data Summaries and Graphical Displays, #11

  • The given data, presented as a table with an appropriate label above. For example: “Table 3: Ages of n lottery winners” using the appropriate n to match your sample size.
  • A contingency table from Stapplet.com One Categorical Variable, Multiple Groups, presented as a table with an appropriate label above. Use my video Contingency Table Probabilities using Stapplet One Categorical Variable, Multiple Groups for help. Switch the rows and columns from the given table so that groups are “Blue”, “Red”, and “Green” and the category responses are “Ice Cream” and “Pizza”.
    Appropriate labeling:
    • For the variable input use a name like, “Treat Preference by Color Group”
    • Label the table like, “Table 4: Contingency table of treat preference by group from Table 3”

Note: Do not present the table of inputs you entered… scroll down to your Summary Statistics and share the table containing totals and rates.

  • A side-by-side frequency bar graph generated by Stapplet.com One Categorical Variable, Multiple Groups presented as a cropped screenshot with an appropriate label above and variable label. For example: “Figure 2: Treat Preference by Color Group from Table 4”.

[HW 2B] Descriptive Statistics and Numerical Summaries, #11

  • The given data table, presented as a table with an appropriate label above. For example: “Table 5: Cholesterol levels (in mg/dL) from a random sample of n patients two days after they had a heart attack” using the appropriate n to match your sample size.
  • Resulting summary statistics from Stapplet.com One Quantitative Variable, Single Group, presented as a table with an appropriate label above. For example: “Table 6: Summary Statistics for sampled cholesterol levels from Table 5 (in mg/dL).”
  • The box plot generated by Stapplet.com One Quantitative Variable, Single Group presented as a cropped screenshot with an appropriate label above and variable label.
    Appropriate labeling:
    • For your x-axis variable label use a name like, “Cholesterol levels (in mg/dL)”
    • For your box plot use a title like, “Figure 3: Box plot of sampled cholesterol levels from Table 5 (in mg/dL)”

[HW 3B] Linear Regression Modeling, #10

  • The given raw dataset, presented as a table with an appropriate label above. For example: “Table 1: Length and Weight of n Alligators" using the appropriate n to match your sample size.
  • A scatterplot generated by Stapplet.com Two Quantitative Variables presented as a cropped screenshot with an appropriate label above and variable label.
    Appropriate labeling:
    • Label the variables such as,
      • an x-axis label of “Length (in inches)”
      • y-axis label of “Weight (in pounds)”
    • Label the graph such as, “Figure 1: Alligator Weight vs. Length Scatterplot with Least-Squares Regression Line”
  • The linear regression model from Stapplet.com Two Quantitative Variables containing a linear regression equation and r^2, presented as a table with an appropriate label above. For example: “Table 2: Least-Squares Linear Regression Model of Alligator Weight (y) vs. Length (x).”

Submission

When complete, submit (or resubmit) your assignment in the MATH 146 - Project 1 Google Form.