DS 123

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Drop by and get some practices before your DS 123 final!

Our Content

February 2018 Monthly Project!

This video helps to explain a variety of symbols that you will see in your course. Give it a watch, take some notes, and come see us in the Learning Center if you have any questions!

Helpful videos we've found online!

Chi-square tests are pretty different than any other test we work with in DS123. This video works through a problem, and gives good explanations along the way. Just make sure you refresh yourselves on the difference between p-values and alphas, and test statistics and critical values before watching this.

Here's a really thorough explanation of Goodness of Fit. And, if you've ever wondered what degrees of freedom really are, he explains that too!

Watch this Crash Course video for some helpful tips for studying. We love the notecard tip!

Shared by Emilee Silveira

This video is helpful to walk you through Hypothesis Testing. But be warned-- he uses a different method for writing the null hypothesis than most of our professors would, and we generally assume conditions are good enough to test.

Shared by Emilee Silveira

Examples of null and alternative hypotheses (video) | Khan AcademyExamples of how to write null and alternative hypotheses

An introductory video for One-way ANOVA.

Need a refresher on why we learn about statistics? Watch this!

Shared by Emilee Silveira (1/25/18)

If you need a refresher on z-scores and probability, please watch this video.

Having trouble with F-Tests? Take a look at this video!

Is linear regression just not clicking? Try watching this.

ANOVA 1: Calculating SST (total sum of squares) (video) | Khan AcademyAnalysis of Variance 1 - Calculating SST (Total Sum of Squares)

ANOVA 2: Calculating SSW and SSB (total sum of squares within and between) (video) | Khan AcademyAnalysis of Variance 2 - Calculating SSW and SSB (Total Sum of Squares Within and Between)

Other Assorted Tips

How strong is the correlation? Is the correlation positive or negative?

Need some guidance on Type 1 and Type 2 errors? Check out the matrix and example scenario below!

The z-score is one of the most important formulas you will learn.

Wrong Page? Back to Decision Science homepage: Decision Science

Memes to brighten your day :)

P < 0.05 (or whatever your alpha is) means reject the null hypothesis!

Shared by Emilee Silveira

....It can be fun! I swear!!!!

Shared by Emilee Silveira

ANOVAs can be so confusing! If you're having trouble keeping everything straight, we can help.

Then it's all ANOVA.

Gotta love them!

If there's 3 or more means, do an ANOVA!

Multiple regressions are awesome, because you can use them to predict the future! You can assess different factors and make an equation to predict, for example, total sales in two months. They are extremely useful to business people for this reason. Make sure you understand it conceptually.

Shared by Emilee Silveira

If you're lost, come to tutoring for help! There is no such thing as a dumb question.

If you're getting frustrated by all the different ways to hypothesis test, come see us for help!

Shared by Emilee Silveira (1/25/18)