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This course is part of The Data Driven Manager Specialization
Instructor: Wendy Martin
Included with 
Recommended experience
Recommended experience
Create a plan to answer business and engineering questions.
Calculate effect size, power and sample size to reduce risk in decision making.
Distinguish between best- and worst-case scenarios given point and interval estimates.
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7 assignments
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Upon completion of this module, students will be able to classify types of sampling used for data acquisition, describe sampling error, and construct random number sequences for sampling.
12 videos1 reading1 assignment2 discussion prompts
Upon completion of this module, students will be able to calculate point and interval estimates using RStudio and ROIStat.
9 videos1 assignment1 discussion prompt
Upon completion of this module, students will be able to use point and interval estimates to determine best- and worst-case scenarios.
9 videos2 assignments1 discussion prompt
Upon completion of this module, students will be able to plan for data acquisition to minimize risk in decision making, including sample size, effect size and power calculations.
12 videos1 assignment1 discussion prompt
Upon completion of this module, students will be able to use return on investment calculations to determine effect size, sample size and power using RStudio and ROIStat.
11 videos2 assignments1 discussion prompt
University of Colorado Boulder
University of Colorado Boulder
University of Colorado Boulder
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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