STAT 110
WINTER 2024-2025
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Annoucements:
    This course ends on Friday, Jan 10 which means you will not have D2L Access after Jan 10. However, you will continue to have access to your StatsClass.org account through Sunday, Jan 12. Thus, I have given you a couple extra days to complete these last assignments.

  • All content for Modules 4 & 5 has been released
  • We will be skipping Module 3 this WINTER term
  • Modules 4 & 5 Guided HW & HW Due Dates
    1. Guided HW 4.1 is due on Sunday, 1/12 by 11:59PM
    2. Guided HW 5.1 is due on Sunday, 1/12 by 11:59PM
    3. HW 5.3 is due on Sunday, 1/12 by 11:59PM

  • Please take time to fill-out course evaluation form: Link


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

Due: 01/12
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: 01/12
HW Link

  
4 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: 01/12
HW Link


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

Due: 01/05
HW Link
2.8: Margin-of-Error via
Simulation
- Notes
- Simulation App
- Star Tribune Polls 		Video

Due: 01/05
HW Link

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

Due: 01/05
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: 01/03
HW Link
2.3: Smell Test for Parkinson's Disease
- Notes
- Simulation App
- Article 		Video

Due: 01/02
HW Link

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

Due: 01/02
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: 12/29
HW Link
1.6: Gender Discrimination
- Notes
- Simulation App
- Article

- Additional Notes
   [No Submission Required] 		Video #1

Video #2

Due: 12/29
HW Link

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

Due: 12/23
HW Link

Due: 12/27
HW Link
1.4: Discrimination Case
- Notes
- Simulation App		 Video No homework assigned
1.3: Staring Example
- Notes
- Simulation App		 Video

Due: 12/23
HW Link

  
1.2: Deafness Simulation
- Notes
- Hearing App		 Video

Due: 12/20
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
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
3 Video Module 1 - Part 2: Simulation for Deaf Example
3 Video Module 1 - Part 1: Deafness / Hearing example
4 Video Submitting HW: Shows users the process for submitting your homework assignments
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. Use logical reasoning by studying mathematical patterns and relationships. A successful student will be able to investigate the different ways in which to determine patterns for variables and evaluate the relationship between them.
  2. Use mathematical models to describe real-world phenomena and to solve real-world problems, as well as understand the limitations of models in making predictions and drawing conclusions. A successful student will be able to design and carry out a real-world experiment or observational study and properly state the findings and conclusions.
  3. Organize data, communicate the essential features of the data, and interpret the data in a meaningful way. A successful student will be able to organize data, communicate essential features of the data both numerically and graphically and provide interpretations and conclusions.
  4. Do a critical analysis of scientific and other research. A successful student will be able to answer a desired research question through hypothesis testing by providing implications, interpretations and conclusions.
  5. Extract correct information from tables and common graphical displays. A successful student will be able to draw conclusions and express relationships (both orally and written) illustrated in graphical displays such as line graphs, scatter plots, histograms and frequency tables.
  6. Use appropriate technology to describe and solve quantitative problems. A successful student will be able to use the statistical software package JMP to perform most analyses in this course. The students will also be able to interpret the results from the given output.
Official STAT110 Syllabus The official WSU STAT 110 course syllabus is available here. WSU STAT 110 Course Syllabus