Course Description
This course will focus on the fundamentals of modern statistics. Topics include: basic concepts of descriptive statistics, inferences about the mean, proportion, differences in means and differences in proportions; the binomial distribution, confidence intervals, and hypothesis testing. Other topics in this course include an introduction to probability and bivariate data, including linear correlation and regression. (3 credits)
Recommended Prerequisite
 MAT 100: Elementary Algebra or High school Algebra (2 years)
Student Learning Outcomes (SLOs)
Students who successfully complete this course will be able to:
 Perform a complete statistical investigation involving the exploration, summarization, and analysis of data to generate answers to realworld questions.
 Identify key features (variables, subjects, cases, observational units, parameters, and statistics) of a statistical study.
 Design statistical questions that can be answered given a specific set of data.
 Describe sampling methods and explain the presence of bias in a sampling method.
 Describe key components of an experiment and an observational study (treatment groups, explanatory variables, response variables, nuisance factors, random assignment, replication, and possible confounding variables).
 Construct graphical displays of data, describe important characteristics of the data from graphical displays, and interpret displays to answer research questions.
 Describe features of a univariate data distribution by summarizing the shape, center, spread, and presence of outliers.
 Compare shape, center and spread of distributions across groups.
 Compute and interpret measures of center (mean, median, mode) and measures of variability (range, IQR, standard deviation) to describe data distributions, identify the presence of outliers, and answer realworld questions.
 Compute and interpret Zscores to analyze observed values and compare observations from different groups.
 Apply the Empirical Rule to describe features of data distributions.
 Describe features of a bivariate data distribution by summarizing the trend, shape, strength, and presence of outliers.
 Perform leastsquare regression analysis on bivariate data to make predictions, assess the model accuracy and fit, and make appropriate predictions/extrapolations.
 Interpret key features (slope, yintercept) of a leastsquares regression line in the context of a problem.
 Compute and interpret the correlation coefficient of bivariate data.
 Calculate and interpret different types of probability and apply concepts of theoretical probability and empirical probability to solve problems.
 Discuss and apply features of discrete and continuous probability distributions to examine features of data distributions and answer realworld questions.
 Use technology to construct probability distributions, create graphical displays, compute probabilities, and determine cutoff values to answer realworld questions.
 Construct and examine features of sampling distributions of sample statistics
 Discuss the role of sampling variability in statistical inference problems
 Apply statistical inference methods (confidence intervals, hypothesis tests) to estimate and test claims about population means, population proportions, differences in population means, and differences in population proportions.
 Describe the steps needed to perform statistical inference, including the assumptions that must be met, drawing conclusions, and stating conclusions in the context of realworld problems.
Course Activities and Grading
Assignments  Weight 

Study Plan Activities ((12@10 Pts) 120 Pts, Weeks 18)  15% 
Discussions ((8@10 Pts) 80 Pts, Weeks 18)  10% 
Module Quizzes ((13@20 Pts) 260 Pts, Weeks 1 – 8)  30% 
Exam 1 (80 Pts, Week 3)  15% 
Exam 2 (100 Pts, Week 6)  15% 
Exam 3 (110 Pts, Week 8)  15% 
Total  100% 
Required Textbook
 In this course you will use Lumen One Introductory Statistics instead of a traditional textbook. Lumen One provides your course materials digitally inside Blackboard.
 You can access all Lumen One readings, videos, a study plan, quizzes and other activities through Blackboard. A note about Lumen One Quizzes: they help you learn! After your first quiz attempt you’ll receive feedback and opportunity to learn and practice the content before your 2nd or final quiz attempt.
 Additional information about Lumen One:
 Lumen One is different from other course materials in these ways:
 There is no separate textbook. Everything you need is in the Introductory Statistics course, including an eBook.
 Each Lumen One Study Plan will provide guidance on where to focus your attention. As you complete each module’s Readiness Check, Self Check and quizzes, you’ll get feedback on which areas you need to read and study more.
 You can earn participation points for completing each Study Plan. To earn them, you’ll need to complete the Readiness Check and every topic’s Self Check. These assignments are graded for completeness, not for correctness.
 You can take graded quizzes more than once. Quizzes help you learn. You can take your quiz twice; only the higher score will be recorded.
 Instructors can see where students are struggling. They can see how you do on your quizzes and offer individualized help when you need it. They can also see if you are doing the Readiness Check and Self Checks.
 Lumen One is different from other course materials in these ways:
Additional Support
Inside your Lumen One course in Blackboard,you’ll find a link to the Lumen Community. There, you can interact with students across the country taking the Introductory Statistics course. You can get and give help, browse other students’ questions or find additional learning and support resources provided by Lumen. The Lumen Community is also the place to find technical support or ask for help navigating the materials. We’re all in this together!
Course Schedule
Week  SLOs  Readings and Exercises  Assignments 
1  2,3,4,5  Topic: Data, Statistical Studies, and Sampling


2  6,7,8,9.10,11  Topic: Describing Data Graphically & Numerically


3  12,15  Topic: EXAM 1 & Displaying & Describing Bivariate Data


4  1,13, 14,15, 16  Topic: Modeling Bivariate Data and Probability


5  17,18,  Topic: Probability Distributions and Sampling Distributions


6  1,20,  Topic: EXAM 2 & Confidence Intervals for Population Proportions


7  1,20,  Topic: Hypothesis Tests for Population Proportions & Confidence Intervals for Population Means


8  1,20,  Topic: EXAM 3 & Hypothesis Tests for Population Means


COSC Accessibility Statement
Charter Oak State College encourages students with disabilities, including nonvisible disabilities such as chronic diseases, learning disabilities, head injury, attention deficit/hyperactive disorder, or psychiatric disabilities, to discuss appropriate accommodations with the Office of Accessibility Services at OAS@charteroak.edu.
COSC Policies, Course Policies, Academic Support Services and Resources
Students are responsible for knowing all Charter Oak State College (COSC) institutional policies, coursespecific policies, procedures, and available academic support services and resources. Please see COSC Policies for COSC institutional policies, and see also specific policies related to this course. See COSC Resources for information regarding available academic support services and resources.