Introduction to Statistics
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Course Objectives
Upon successful completion of this course, you will be able to:
 define the meaning of descriptive statistics and statistical inference, describe the importance of statistics, and interpret examples of statistics in a professional context;
 distinguish between a population and a sample;
 explain the purpose of measures of location, variability, and skewness;
 apply simple principles of probability;
 compute probabilities related to both discrete and continuous random variables;
 identify and analyze sampling distributions for statistical inferences;
 identify and analyze confidence intervals for means and proportions;
 compare and analyze data sets using descriptive statistics, parameter estimation, hypothesis testing;
 explain how the central limit theorem applies in inference;
 calculate and interpret confidence intervals for one population average and one population proportion;
 differentiate between type I and type II errors;
 conduct and interpret hypothesis tests;
 identify and evaluate relationships between two variables using simple linear regression; and
 use regression equations to make predictions.
Topic  Topic Title  Module 

1 
Learning Strategies and Big Picture 

2  Exploratory Data Analysis 

3  Producing Data 

4  Probability 

5  Inference 

Final Exam 

Successful completion of College Algebra is recommended before taking Introduction to Statistics.
Important Terms
In this course, different terms are used to designate tasks:
 ADAPTivities: Adaptive exercises designed to help you retain important content and information. There are generally two types identified by name:
 1. Learn By Doing activities: Learn By Doing activities give you the chance to practice the concept that you are learning, with hints and feedback to guide you if you struggle.
 2. Did I Get This? activities: Did I Get This? activities are your chance to do a quick "selfcheck" and assess your own understanding of the material before doing a graded activity.
 StatTutor: StatTutor is an interactive learning tool that provides you with a data analysis problem, supports you as you attempt to solve it, and gives you hints and feedback along the way.
 Checkpoint: A graded online assessment or “Quiz” covering a full module
 Final Exam: A comprehensive proctored final examination
StraighterLine provides a percentage score and letter grade for each course. A passing percentage is 70% or higher. If you have chosen a Partner College to award credit for this course, your final grade will be based upon that college's grading scale. Only passing scores will be considered by Partner Colleges for an award of credit.
There is a total of 100% in the course:
Unit  Assessment  Points Available 

70% of your course grade  
Final Graded Exam  30% of your course grade  
Total  100% 
Final Proctored Exam
The final exam is developed to assess the knowledge you learned taking this course. All students are required to take an online proctored final exam in order complete the course and be eligible for transfer credit.