STAT 110
Summer 2021
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Communication
Annoucements:
  • Final Grades have been posted
  • You can login into your account to see the Gradebook (upper right corner near logout link) -- please let me know about mistakes on my part

  • Please complete the Course Evaluation Form: Link
  • Enjoy the rest of your summer!


Course Materials
Module Part: Description Notes /
Apps
Videos
for Notes
Guided
HW
HW
5 5.3 Measures of Variation
- Notes
Video  

Due: 08/04
HW Link


Used Car Data

5.2 Filter & More PivotTables   - No notes here, just watch the two videos   - A Filter Action 
  - More PivotTables
No homework assigned
5.1 Measures of Center
- Notes
Video

Due: 08/04
HW Link

 
4 4.4: Additional Case Studies
- Notes
- MN Sex Offender Study: Article
- Suicide/Adoption Study: Article
Video No homework assigned
4.3: Measures of Association
- Notes
- Donner Party: Data
Video No homework assigned
4.2: Two Categorical Variables - Interaction
- Notes
- Titanic: Data
- MN Gay Marriage: Data
- Drug Overdose: Data
Video No homework assigned
4.1: Two Categorical Variables - PivotTables
- Notes
- Titanic Data: Link
Video

Due: 07/27
HW Link


- CitiBike Data
 
3 Module 3 will be skipped this semester
2 2.9: Margin-of-Error via
Normal Distribution
- Notes
Video  

Due: 07/19
HW Link

2.8: Margin-of-Error via
Simulation
- Notes
- Simulation App
- Star Tribune Polls
Video

Due: 07/19
HW Link

 
2.7: Font Case Study
- Notes
- Article
Video No homework assigned
2.6: Semantic Memory Case Study
- Notes
- Article
Video

Due: 07/19
HW Link


WSU Vitamin Data
 
2.5: P-value via a Spreadsheet
- Notes
Video No homework assigned
2.4: WSU Vitamin Case Study
- Notes
- Simulation App
- WSU Vitamin Data
Video  

Due: 07/09
HW Link

2.3: Smell Test for Parkinson's Disease
- Notes
- Simulation App
- Article
Video

Due: 07/07
HW Link

 
2.2: Helper/Hinder Case Study
- Notes
- Simulation App
- Article
Video

Due: 07/07
HW Link

 
2.1: Elements of a Hypothesis Test
- Notes
Video No homework assigned
1 1.7: Ear Infection
- Notes
- Simulation App
- Pamphlet
Video  

Due: 06/27
HW Link

1.6: Gender Discrimination
- Notes
- Simulation App
- Article

- Additional Notes
   [No Submission Required]
Video #1

Video #2

Due: 06/27
HW Link

 
1.5: The 5% Outlier Rule
- Notes
- Simulation App
- Video: 5% Rule
Video

Due: 06/22
HW Link

Due: 06/22
HW Link

1.4: Discrimination Case
- Notes
- Simulation App
Video No homework assigned
1.3: Staring Example
- Notes
- Simulation App
Video

Due: 06/13
HW Link

 
1.2: Deafness Simulation
- Notes
- Hearing App
Video

Due: 06/13
HW Link

 
1.1: Deafness / Hearing Example
- Notes
- Hearing App
Video No homework assigned


Video Archive
# Link Description
37 Video Module 5 - Part 3: Measures of Variation
36 Video PivotTables via a Spreadsheet
35 Video Filter & Sorting in a Spreadsheet
34 Video Module 5 - Part 1: Measures of Center
33 Video Percentiles / CDF Plot via a Spreadsheet
32 Video Mean, Median, Named Ranges via a Spreadsheet
31 Video Module 4 - Part 4: Additional Case Studies
30 Video Module 4 - Part 3: Measures of Association for Tables
29 Video Module 4 - Part 2: Two Categorical Variables - Interaction
28 Video Module 4 - Part 1: Relationship Between Two Categorical Variables - PivotTables
27 Video PivotTables - Sum as the Summary Measure
26 Video PivotTables - Count, Row Percentages, and 100% Stacked Column Chart
22 Video Module 2 - Part 9: Margin-of-Error / Confidence Intervals via Normal Distribution
21 Video Module 2 - Part 8: Margin-of-Error / Confidence Intervals via Simulation
20 Video Module 2 - Part 7: Font Case Study
19 Video Module 2 - Part 6: Semantic Memory Case Study
18 Video How to Embed a Google Sheet into the Notes/HW
17 Video Module 2 - Part 5: Binomial Probability Model
16 Video Getting Binomial Probability Model & a P-Value in a Spreadsheet
15 Video Module 2 - Part 4: WSU Vitamin Case Study
14 Video Module 2 - Part 3: Smell Test for Parkinson's Example
13 Video Module 2 - Part 2: Helper/Hinder Case Study
12 Video Module 2 - Part 1: Elements of Hypothesis Testing
11 Video Module 1 - Part 7: Ear Infection Example
10 Video Simulation Setup Reversed
9 Video Module 1 - Part 6: Gender Discrimination Example
8 Video Module 1 - Part 5: 5% Outlier Rule
7 Video Applying the 5% Outlier Rule via the Simulation App
6 Video Module 1 - Part 4: Discrimination Case
5 Video Module 1 - Part 3: Staring Example
4 Video HW Submission: Shows users the process for submitting your homework assignments
3 Video Module 1 - Part 2: Simulation for Deaf Example
3 Video Module 1 - Part 1: Deafness / Hearing example
2 Video Submitting Course Notes
1 Video Account Setup: Shows users how to setup an account at StatsClass.org.
0 Video Welcome / Syllabus


Item Syllbus Items
Student Accounts A student account at Statsclass.org is necessary for the submission of your course notes and the homework assignments for this course. The following video describes how a student account can be setup. [Video: Setting up an Account]
Course Notes A complete set of course notes have been created for this course. The course notes are divided into modules and parts. Questions are embedded within the notes that must be answered. After a set of notes is submitted, the answers to the questions posed are provided so that you can check your understanding of the content being covered. [Video: Submitting Notes ]
HW Submission A complete a set of homework assignements is provided for this course. The homework assignments will be distributed via Google Docs and completed assignments must be saved to your Google Drive. After completing the assigment, you must login to your student account at StatsClass and submit a sharable link of your assignment. A brief video describing this process will be provided. [Video: Submitting HW ]
Grades Your grade is determined by the completion and performance of the required work for this course.

You must complete the set of course notes for a particular module / part. The course notes for each module / part will be scored as follows:
  • 0 pts: Did not answer questions posed in notes for a particular module / part
  • 3 pts: Attempted to successfully answer questions posed in notes for a particular module / part
After completing the set of course notes for a module / part, you will be required to complete a 1) Guided Homework Assignment and/or 2) Regular Homework Assignment over the content of that module / part.

- For the Guided Homework Assignment, scoring will be done as follows
  • 0 pts: Did not make a reasonable attempt to complete the assigment by the due date
  • 4 pts: Made a resonable attempt to correctly complete the assignment by the due date
  • 7 pts: Correctly completed the assignment by the due date
Solutions to guided homework assignments will be provided. You should carefully review these solutions before completing the type 2) Homework assignments.

- The Regular Homework Assignments will take more time to complete and are more typical in nature. These assignments will be worth about 20-30 points.

Note: You cannot submit homework assignments after solutions have been posted; thus, it is important that you submit your work before the deadlines.

Final grades will be determined using the following scale
  • F: Less than 60%
  • D: 60% - 70%
  • C: 70% - 80%
  • B: 80% - 90%
  • A: 90% and above
Learning Outcomes Students who successfully complete STAT 110 will be able to:
  1. Understand the relationship between posed scientific question(s) and provided data;
  2. Summarize key data features, using statistical software to provide appropriate graphical or numerical summaries;
  3. Understand limitations and potential of data sets as they relate to the posed scientific question(s) due to data collection methods or data quality;
  4. Be able to understand and recommend various statistical techniques to answer the posed scientific question(s) and carry out these analyses using statistical software;
  5. Clearly communicate descriptive and inferential results in a way that is suitable for someone with little or no statistics background
Official STAT110 Syllabus The official WSU STAT 110 course syllabus is available here. WSU STAT 110 Course Syllabus