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Course Description

This course develops an understanding of foundational statistical reasoning concepts related to business. Topics include probability, descriptive statistics, variance, statistical inference, confidence intervals, non-parametric statistics, analysis of variance, correlation, regression analysis, and a Christian perspective on uncertainty, risk, transparency, honesty, integrity, and the role statistics play in pursuing the common good.

Course Outline

Module 0:  Welcome & Getting Started

Module 1:  Introduction/Overview

Module 2:  Summarizing Data

Module 3:  Summarizing Data Part 2

Module 4:  Sampling & Probability

Module 5:  Hypothesis Testing & Comparing Sample Means

Module 6:  Confidence Intervals

Module 7:  Chi-square

Module 8:  Analysis of Variance (ANOVA)

Module 9:  Correlation 

Module 10:  Regression

Learner Outcomes

Upon completion of the course, participants should be able to:

  1. Compute and visually portray core descriptive statistics (e.g., means, data visualizations) and use them to describe business situations and tell “data stories”
  2. Compute basic inferential statistics (e.g., t-tests) and apply them in business decision-making
  3. Compute limits of “statistical” significance
  4. Compare sample means
  5. Describe patterns of association (i.e., correlation)
  6. Describe predictive relationships (i.e., regression)
  7. Describe ethical practices related to statistics, how statistics can be misused either by accident or on purpose, and how to spot “good” results from “weak” results when making business decisions
    1. Select, perform, interpret, and communicate appropriate statistical content for a given business question

Notes

This is an asynchronous online class with a structured starting and ending date. It has no face-to-face, in person meetings. It is designed for students to be self-managing learners who pace their learning. Participants will have responsibility for using the material provided in Canvas and the textbook to accomplish the learning objectives of the course primarily on their own with some coaching from the instructor. Participants may work through the assignments at their own pace, but should try to complete one module per week to complete the course within the designated time frame.
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Section Title
Statistics for Business Decisions
Type
Online
Dates
Jan 04, 2023 to Mar 16, 2023
Contact Hours
20.0
Delivery Options
Online  
Course Fee(s)
Tuition credit (2 units) $1,000.00
Available for Credit
2 Quarter Credits
Instructors
Reading List / Textbook

Statistical Techniques in Business and Economics (Lind, et al; with Connect Access).  You may purchase access through the bookstore or directly through the McGraw Hill link in Canvas. See full instructions in Canvas after registration.

Section Notes

The registration deadline is January 11, 2023 by the end of the day.


Refund Policy: Withdrawals submitted online through SPU prior to the first class session will receive a 100% refund. Withdrawals submitted online within 7 days of the first class session will receive a 95% refund. Withdrawals received after that point will not receive a refund and no withdrawals will be accepted after the last class session. Instructions on how to withdraw are located on our website under Students/Withdrawal and Refund Policies.


 

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