WEBVTT

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meet Dr. Doug Bors. In these modules

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he will be teaching us about statistics and

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data visualization literacy. Even

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students who are good with math may enter

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introductory statistics courses with

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trepidation. The true difficulty that

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students encounter however is not with

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the math but with the concepts. Most

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calculations necessary for an

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undergraduate statistics course do not

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go beyond introductory algebra but the

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conceptual material is experienced as

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abstract and unrelated to everyday

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issues and problems.

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Don't worry these modules are going to

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help. In module one we explore

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populations sample and the concept of

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unbiased estimators such as mean or

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average and standard deviation to

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describe these parameters. In module two

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we break down sampling distribution and

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explore the relationship between

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individual sample statistics and

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collections of sample statistics. In

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module 3 we use the standard normal

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distribution and Z scores to

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facilitate easier comparison of

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observations with populations. For

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instance how does one hamster behave in

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relation to the average of the

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population. Over ninety-nine percent of

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the hamsters in the population are more

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active than this specimen. Less than

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three percent of the hamsters are more

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active than this one. In module four we

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introduce null hypothesis testing. For

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instance we could ask whether a group of

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rogue hamsters escaped from Dr. Bor's

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lab, ... or elsewhere? In module 5 & 6 we

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explore correlation and regression.

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Correlation helps us identify any

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relationship between two variables such

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as number of cookies eaten and hamster

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weight.

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Regression helps us to predict the value

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of a variable based on its observed

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relationship with a second variable. For

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instance if we know a hamster's weight we

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may be able to predict how many cookies

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it has eaten. Each module includes a set

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of useful resources. We start with a

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conceptual overview in a brief lesson

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video. In these lessons, Dr. Bors walks

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you through the concepts covered by the

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module.

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Next you'll find a pretest. Take these

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questions to gauge your current

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understanding. If your score is high

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considered jumping straight to the

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simulations. Otherwise be sure to watch

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the lessons closely before trying the

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simulations. These resources are

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available for you 24 7.

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We hope you enjoy these modules and find

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constructive. Nine out of ten

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statisticians usually agree

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practice makes perfect!