# STAT 216 - Introduction to Statistics

## Spring 2018

- Contact information
- Course description and learning outcomes
- Required textbook and supplemental readings
- Course information - syllabus, calendar, and project instructions
- Course resources
- Data sets
- Various apps for potential project data collection

## Contact Information

See your D2L Announcements page for your instructor's contact information.

### Course Supervisor

Prof. Stacey Hancock

Office: Wilson 2-195

Phone: 994-5350

e-mail

### Course Student Success Coordinator

Jade Schmidt

Office: Wilson 2-263

Phone: 994-6557

email

## Course Description and Learning Outcomes

Stat 216 is designed to engage you in the statistical investigation process from developing a research question and data collection methods to analyzing and communicating results. This course introduces basic descriptive and inferential statistics using both traditional (normal and t-distribution) and simulation approaches including confidence intervals and hypothesis testing on means (one-sample, two-sample, paired), proportions (one-sample, two-sample), regression and correlation. You will be exposed to numerous examples of real-world applications of statistics that are designed to help you develop a conceptual understanding of statistics. After taking this course, you should be able to:

- Understand and appreciate how statistics affects your daily life and the fundamental role of statistics in all disciplines;
- Evaluate statistics and statistical studies you encounter in your other courses;
- Critically read news stories based on statistical studies as an informed consumer of data;
- Assess the role of randomness and variability in different contexts;
- Use basic methods to conduct and analyze statistical studies;
- Evaluate and communicate answers to the four pillars of statistical inference: How
*strong*is the evidence of an effect? What is the*size*of the effect? How*broadly*do the conclusions apply? Can we say what*caused*the observed difference?

## Required Textbook

* Introduction to Statistical Investigations *(ISI) by Tintle, Chance, Cobb, Rossman, Roy, Swanson, and VanderStoep (Wiley, 2016).
MSU negotiated a reduced price for the textbook and custom e-textbook package available
only from the MSU Bookstore (ISBN -9781119385943). The custom e-textbook is required to access videos that will
be assigned as part of the reading prior to each class. The print textbook is optional,
but you should have access to the textbook (print or e-book) during each class period.

If you prefer to purchase the custom e-textbook alone, you may purchase itfrom the MSU Bookstore or here.

### Supplemental Readings

- Probability: Supplement to Section P.3
- Normal distribution: Supplement to Section 1.5
- Bootstrapping: Supplement to Sections 2.2 and 3.3

## Course Information

- Spring 2018 Syllabus
- Project Instructions
- Spring 2018 Course Calendar:

## Course Resources

- How to succeed in an active learning course
- Stat 216 YouTube Channel
- ISI Resources:
- Tableau Resources:
- Math Learning Center (MLC) is open 9 am to 7 pm Monday - Thursday and 9am to 5pm Friday. Do use it as a resource! Solutions to the textbook explorations are available in a binder to use while you're in the MLC.
- We use Brightspace (D2L) to organize the course, so log in and find your section.
- If you have any problems logging in, read their password help page.

## Data Sets

Link to ISI Data sets here. Data sets for course explorations, investigations and assignments are available below.

- World Bank Indicators (WorldBankIndicators.xlsx)
- Current Population Survey from 1985 (cps.csv)
- Roller Coaster Data (RollerCoasters.csv) and Description
- Gapminder data (gapminder.csv) from gapminder R package
- Head injuries in alpine skiers and snowboarders (HeadInjuries.csv) - Assignment 2
- Arsenic Levels in New Hampshire (arsenic.txt) - Bootstrapping supplement
- Polar bear weights (polarbear.csv) or Excel file - Assignment 3
- Tuition costs (Tuition.csv) - Assignment 4
- OkCupid data for Women (OkCupidWomen.txt) and for Men (OkCupidMen.txt) - Regression and Correlation activity
- Contractor audits (Audits.csv) - Assignment 5
- Murderous nurse (Murderous_Nurse.csv) - Exploration 5.1 data
- CloseFriends (CloseFriends.txt) - Exploration 6.3 data
- Memorizing words (Chap6 Investigation.txt) - Quiz 7
- JJvsBicycle (JJvsBicycle.txt) - Exploration 7.2 data
- Auction (Auction.txt) - Exploration 7.3 data
- E. coli time (Ecoli-time.txt) and E. coli sand (Ecoli-sand.txt) - Assignment 7