To receive CPE credit, you will need to answer 5 quiz questions throughout the webinar presentation, for which you will get feedback. At the end of the module, you will need to answer an 8 question post exam with a passing grade of 75% to receive CPE credit.

In completing and passing the final exam you will receive a certificate of completion by email.

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2). Under My Education Credits click on each Field of Study per Meeting, and will be able to view, download and print each certificate for your records.

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Interpreting data analysis results is a critical step in the data analysis process. This session will cover ways to help your students think critically about the data, analysis, and results of data analyses. We will discuss how to help students determine if the result of an analysis “make sense”. Evaluating validity and reliability of descriptive, diagnostic, predictive, and prescriptive data analyses will be discussed.

Learning objective: Evaluate and apply critical thinking methodologies to assess the validity and ethical implications of data analyses used in accounting and auditing contexts, including the identification and mitigation of potential biases and misinterpretations.

Presenters
Moderator: Karen Osterheld, AAA
Speaker: Ann Dzuranin, Northern Illinois University

Field of Study: Information Technology
CPE Information: 1.6 CH
Program Level: Basic
Prerequisites: None
Advance Preparation: None
Delivery Method: QAS Self-Study