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National College Credit Recommendation Service

Board of Regents  |  University of the State of New York

UPI Study, Inc. | Evaluated Learning Experience

Statistics 101: Principles of Statistics

Course Category: 

Varies (self-study; self-paced).

Various; distance learning format.

March 2021 - Present. 

Instructional delivery format: 
Online/distance learning
Learner Outcomes: 

Upon successful completion of the course, students will be able to: master key statistical concepts, including descriptive and inferential statistics, probability distributions, measures of central tendency, and dispersion, while differentiating between data types for appropriate statistical treatments; analyze, interpret, and visualize business data using statistical software like Excel, performing accurate and efficient calculations for data manipulation and graph/chart creation; apply statistical methods to real-world business scenarios, using data-driven insights to inform and optimize business strategies, operational efficiencies, and market research; critically assess the quality and reliability of data sources, identify potential biases in statistical analysis, and understand their impact on business decision-making; present statistical findings clearly and concisely, suitable for various audiences, including writing reports and giving presentations to effectively communicate statistical analyses; and hone problem-solving abilities using statistical methods to address complex business challenges, focusing on developing logical and analytical thinking for data-driven problem-solving.


The course is self-paced. Instruction is delivered through online video and text lessons. Students are assessed through quizzes, assignments and a proctored final exam. Major topics include Introduction to Business Statistics; Delving into Categorical Data; Descriptive Statistics: Exploring Measurement Techniques; Descriptive Statistics: Data Representation; Understanding Measures of Dispersion in Business; Examining Correlation and Association in Business; Probability Concepts in Business Statistics; Probability Distributions in Business Statistics; Sampling Techniques in Business Statistics; Constructing Confidence Intervals in Business Statistics; Hypothesis Testing in Business Contexts; Analyzing Variance in Business Research; Nonparametric Methods in Business Statistics; Regression Analysis in Business; Business Forecasting Techniques; Implementing Control Charts in Business Processes.

Credit recommendation: 

 In the lower division baccalaureate/associate degree category, 3 semester hours in Mathematics, Economics, International Business, Finance, Finance and Investment, Accounting, Management, Human Resources, Hospitality Management, Management Information System, Marketing, Education, or Health Services (1/24).