Final project 1 Daniel

30 Jul Final project 1 Daniel

Overview

The final project for this course is the creation of a Statistical Report. Based on the knowledge obtained in this course and previous course work, you examine the methodology used in collecting and analyzing statistical data. You must select a statistical data source with approval of your instructor. After the data is collected you must analyze and report your findings. Make sure to include topics discussed throughout this course.

The project is divided in to 4 milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final submissions. These milestones will be submitted in Modules 2, 6, 8, and 10.

Main Elements

The final project will be a Statistical Report that will include the solution data. Be sure to consider a statistical analysis project that applies to a real-life problem or situation. You may need to collect additional data as the course progresses as you will want to complete analysis associated with the content covered in this course. A comprehensive report must include the following elements:

1. Statistical Report

· An overall description of the study

· The data and the means of collection

· The statistical methodology used for analysis of the data

· A summary of the results

2. The Solution Data

· The problem statement

· The analyst statement

The solution data inputs and outputs

Format

Milestone One: Statistical Report: Submit Data Sources Information

In 2-4, you will submit your data sources information for approval.

Milestone Two: Statistical Report: Initial Report

In 6-5, you will submit your initial analysis report. The instructor will provide feedback and suggest alternate/additional sources.

Milestone Three: Statistical Report: Rough Draft

In 8-4, you will submit a preliminary rough draft. The instructor will provide feedback and suggest alternate/additional sources.

Milestone Four: Statistical Report: Final Copy

In 10-1, you will submit your final project for review.

Deliverable Milestones

Milestone	Deliverables	Module Due	Grading
1	Submit Data Sources Information	Two	Not Graded Separately; will affect Final Paper grade under Milestone submission
2	Initial Report	Six	Not Graded Separately; will affect Final Paper grade under Milestone submission
3	Submit Rough Draft	Eight	Not Graded Separately; will affect Final Paper grade under Milestone submission
4	Submit Final Project	Ten	Graded separately using the Final Paper Rubric

Rubric

Requirements of submission: Written components of projects must follow these formatting guidelines when applicable: double spacing, 12-point Times New Roman font, one-inch margins, and discipline-appropriate citations.

Critical Elements	Exemplary	Proficient	Needs Improvement	Not Evident	Value
Milestone submission and incorporation of feedback	Meets Needs Improvement requirements and addresses all instructor feedback through incorporation or clarifying questions/dialogue with instructor (9-10)	Meets Needs Improvement requirements and incorporates some of the instructor’s feedback throughout the progression of the project (8)	Student completes and submits allmilestones by the due date (7)	Student submits incompletemilestones or does not submit by the due date (0-6)	10
Comprehensive final product	Addresses all of the main elements of the final product directlyand includes additional elements that logically enrich and extend. (27-30)	Addresses all of the main elements of the final product listed above directly. (24-26)	Addresses all of the main elements of the final product listed above either directly or indirectly. (21-23)	Does not address all of the main elements of the project listed above. (0-20)	30
Analysis of Data	Effectively applies relevant statistical methodology outlined in the course and successfully interprets the results in context. (27-30)	Effectively applies some relevant statistical methodology outlined in the course and interprets the results in context. (24-26)	Applied statistical methodology effectively, but did not interpret the results in context. (21-23)	Some statistical methodology outlined in the course is applied incorrectly. (0-20)	30
Evidence of higher order thinking	Evaluates or synthesizes multiplecourse concepts in a way that demonstrates creative thinking. (18-20)	Logically and accurately analyzes or evaluatesmultiple course concepts. (16-17)	Logically and accurately analyzes or evaluates at least one course concept. (14-15)	Does notlogically and accurately analyze or evaluate at least onecourse concept. (0-13)	20
Mechanics	No errors related to organization, grammar, and style (9-10)	Errors of grammar, organization, and style are marginaland rarely interrupt the flow (8)	Errors of grammar, organization, and style are limitedenough that the paper is still able to be understood (7)	Errors of grammar, organization, and style make the paperdifficult to understand (0-6)	10
Earned Total: Comments:	100