Publications by Mr. Hern
Homework 1.3 Key
Introduction A great opportunity to explore experimental design concepts with realistic scenarios to better understand the vocabulary of statistical inference. Question 1 Scenario 1: Some people that race greyhounds believe that giving the dogs large doses of vitamin C will make them run faster. Researchers at the University of Florida tried three...
4765 sym 1 tbl
Homework 1.2 Key
Introduction Digging deeper into data classification and management processes. Question 1 Match the key vocabulary terms in this unit to their definitions. Question 1 answers: categorical: Variables have values that describe labels or attributes. continuous: variables that can take on any real number value. nominal: Variables with categories that ...
4700 sym
Lesson Check 1.3 Key
Introduction Even with the best of intentions, a poorly designed study can produce wildly misleading results. In this lesson we have been exposed to several common errors that are best avoided; in this lesson check we’ll see how to do so. Question 1 A sample can offer us important insights into a population. Which of the following sample methods...
4661 sym
Homework 1.1 Key
Introduction More familiarization exercises involving basic statistics definitions and reading/interpreting data. Question 1 Match the key vocabulary terms in this unit to their definitions. Question 1 answer: statistics: Science of collecting, organizing, analyzing and interpreting information. variables: Attributes measured in the context of a s...
3095 sym 1 tbl
Lesson Check 1.2 Key
Introduction Classifying data allows us to “structure our structure” – the types of analysis we perform depends upon the types of data we collect. Question 1 The ethnicity of each student is what kind of variable? Question 1 answer: When classifying data, we typically go through a simple two-step process. First, we evaluate whether the data ...
5043 sym
Lesson Check 1.1 Key
Introduction We get started with a simple set of questions regarding statistics in general and data in particular. Question 1 Simply put, learning statistics can help us… Question 1 answer: Predicting the future is a bit of a fool’s errand – although try economics if you want to predict the past. (Rimshot!) Justifying decisions when no evide...
1841 sym
Homework 3.1 Key
Introduction More opportunities to practice with the z-score formula and to reason about normal distributions. Question 1 Overview You earn an 80 on your Spanish exam. The grade recorded for you on the test will be based on your z-score, with z-scores further to the right in the distribution earning higher scores. (a) The class average is \(\mu\) ...
7142 sym 2 img
Lesson Check 3.2 Key
Introduction This lesson check covers the introduction of z-scores to aid in standardizing data and the use of the Empirical Rule. After an initial definition check, questions 2-8 use data on newborn babies to explore the use of z-scores. Question 1 In short, what does a z-score tell you? Question 1 answer: The z-score is not an indicator of norma...
4317 sym 1 img
Lesson Check 3.1 Key
Introduction This lesson check explores the characteristics of normal distributions and introduces z-scores as a way of characterizing data (which we will dive further into in the following lesson). After a couple of questions about normal distributions, questions 3-6 use data on IQ testing to practice calculations using the z-score formula. Quest...
2762 sym
Homework 3.2 Key
Introduction All z-scores, all the time! Opportunities to practice with calculations involving standard deviation and the implications of z-scores in the act of comparing data. Question 1 Overview This is just a fact-check on the well-known Empirical Rule that gives us general cutoffs for areas under the curve of normally distributed data. Questio...
7465 sym