Unit 1: Inferences and Conclusions from Data

Overview

Have you heard the terms: sample distribution, normal distribution, standard deviation, simulation, null hypothesis, alternative hypothesis, confidence interval, z-score, p-score, t-score? When is the success or failure of a treatment or intervention statistically significant and when is it simply based on chance? How do we compare performance using two different assessment instruments? This all relates to the unit Inferences and Conclusions From Data. We are searching for the curious, the inquisitive, the ‘wide-eyed’ data miners who are determined to make better sense of the world in which we live. Each of our lives is drastically influenced by the interpretation of data – we cannot escape it, nor should we leave it to chance. To be fore-warned is to be fore-armed. Knowledge is Power! Let’s begin the journey of data interpretation for better decision making.

 

 

Developed By: Joseph Robertson & Jerry Pomeroy


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Pre-Unit Assessment

Lesson 1

Mean and Standard Deviation: Tools for Decision Making

Lesson 2

Which process or simulation to use?

Lesson 3

Experiments, Sampling, and Observations in Gathering Data

Lesson 4

Can We Be Sure? How Confident Are We?

Lesson 5

Probability Empowering Decision Making

Post-Unit Assessment