Statistics 0002

Statistics 0002 (Introduction to Statistics and Data Science) is one of the Wharton online for-credit courses offered within the Pre-Baccalaureate Program. 

Overview

Course Description

STAT 0002: Introduction to Statistics and Data Science

Continuation of STAT 0001.  In this class we will learn basic statistical inference procedures of estimation, confidence intervals, and hypothesis testing.  We will also cover statistical inference of bivariate data, including correlation and simple linear regression models. 

Prerequisite: STAT 0001 or equivalent. Basic R knowledge.

Learning Objectives

By the end of this course, you will be able to:  

  • Perform hypothesis tests  
  • Interpret statistical results, including confidence intervals and p-values 
  • Model relationships between two continuous variables 

About the Wharton Pre-Baccalaureate Program

The Wharton Pre-Baccalaureate Program is an academically-intensive opportunity for exceptional high school juniors and seniors to enroll in Wharton online courses. Participants will learn from Wharton instructors, earn a Wharton transcript, and accrue college credit for each course completed. With six sessions to choose from and built-in academic support, students are encouraged to explore the depth and breadth of Wharton’s business education curriculum with maximum flexibility and the guidance and resources to succeed.

Details

Course Details

This course is delivered via videosynchronous class sessions. To be successful, you must actively engage with ideas presented in the course, and with those posed by your classmates.  

Assessment is based upon active course participation, weekly assignments, and a culminating course project. 

Software: 

We will use the free statistical computing software R (http://www.rproject.org/) frequently in class. Previous experience with R is required for this course.  You will apply what you learned in class to solve your homework and final project problems. 

Course Content 

In this class we will learn basic statistical inference procedures of estimation, confidence intervals, and hypothesis testing.  We will also cover statistical inference of bivariate data, including correlation and simple linear regression models. 

Course Topics: 

  • Confidence intervals for population mean and mean differences 
  • Confidence interval interpretations 
  • Hypothesis testing for population mean and mean differences 
  • Chi-squared hypothesis testing 
  • P-value interpretations 
  • Linear regression analysis 
  • Correlation (hypothesis testing and interpretation) 

Synchronous Classes:  

Synchronous classes offer the opportunity to explore questions about the course and materials beyond the lectures through live interactions—via videoconference—with course faculty and your classmates. Live class sessions will meet weekly. 

Course Materials Fee

None

See full tuition details here.

Requirements

Requirements:

Attendance: 

Course attendance and participation are expected on a regular basis.  

Technical Requirements:

In order to fully participate in this course, you will need a computer that meets minimum system requirements for both Canvas LMS and Zoom Videoconferencing. Refer to the following links:

All programming originates from the Wharton School, University of Pennsylvania (Eastern Daylight Time).

Instructional Team

Instructor: Elizabeth Ajazi

Elizabeth Ajazi is a lecturer at the Wharton School of the University of Pennsylvania. She has bachelor's degrees in mathematics and psychology, master's degrees in mathematical finance and biostatistics, and a doctorate in biostatistics.  At the Wharton School, she teaches various introductory statistics courses.

INCLUDED IN ALL SUMMER ONLINE HIGH SCHOOL PROGRAMS

Wharton Global Youth Meetup (GYM)

Wharton Global Youth Meetup (GYM) is a creative, extracurricular community open to summer students as a way to connect to one another — and Wharton — before, during, and after their programs. Featuring both live and independent programming, the GYM is designed to ensure virtual participants don’t miss out on valuable community building and networking.
*The GYM is included in all online summer programs, except Understanding Your Money.