Monthly Archives: November 2015

Correlation vs Causation

This video introduces one of the biggest problem plaguing big, real-world problems: just because two things seem to go together, what if it's just a coincidence? Does carbon dioxide cause global warming, or is it just a coincidence that a historic rise in greenhouse gasses corresponds to a historic rise in global temperatures? That's correlation vs causation.

This video appears on the page: Lots of Statistics Vocab

Statistical Significance & Confidence Intervals

The last 3/4 of your typical stats class -- or more -- is about determining whether a sample or test is statistically significant. In other words, does the data from your survey/study/experiment mean something, or was it just luck, kind of like flipping a coin and getting 5 heads in a row?

This video appears on the page: Lots of Statistics Vocab

Variability & Dispersion

These are two names for the same thing: how spread out is the distribution. It's all subjective, though, with lots of ins and outs, so naturally we'll delve into examples involving small dogs to explain what's happening here.

This video appears on the page: Lots of Statistics Vocab

Reliability vs Validity

Kind of like "accuracy vs precision", reliability and validity are the terms for whether a test is both repeatable and accurate.

This video appears on the page: Lots of Statistics Vocab

Outliers

There are lots of ways to define what an outlier is, other than a "way out there" piece of data you want to just ignore to make your homework easier. This video explains what outliers are, and the most common way of defining them.

This video appears on the page: Lots of Statistics Vocab

The Normal Distribution & z-score

You're going to be hearing the world "normal" every two minutes for the rest of the semester, in tons of depth, so this video isn't going to do anything but scratch the surface of this topic. But if you're wondering what the heck this normal thing is, and what z-scores have to with anything, this video introduces them both.

This video appears on the page: Lots of Statistics Vocab

Continuous vs Discrete

Whether you're talking about variables or data, continuous and discrete describe the same situation: is the data something you count, or are decimals okay? And what about those tricky situations that my teacher seems to find so interesting, where something discrete is actually considered continuous?

This video appears on the page: Lots of Statistics Vocab

Quantitative vs Qualitative (Categorical) Data

The basic definition of quantitative data is that it is described by numbers, whereas qualitative data is everything else; however, in practice your teacher can bring up some tricky gray areas where numbers are in fact categorical. We'll prep you for that in this intriguing video!

This video appears on the page: Lots of Statistics Vocab

Parameter vs Statistic

A minor vocabulary nuisance, this video explains the difference between parameters and statistics, and how that difference will infuse your stats class with the appropriate level of statisitcal inference.

This video appears on the page: Lots of Statistics Vocab

Descriptive vs Inferential Statistics

You may not need to know these terms for a test -- but then again you might, depending on your teacher. Either way, this video introduces you to the concept of why you're taking a stats class in the first place, and how stats applies to any field of business, science, or marketing.

This video appears on the page: Lots of Statistics Vocab

Sample vs Population vs Individual

In Statistics, "population" and "individual" can refer to people, things, dogs... anything you have data for. In this data we'll discuss the ins and outs of these terms, as well as what to look for in test questions.

This video appears on the page: Lots of Statistics Vocab

Lots of Statistics Vocab
Sample vs Population vs Individual
Descriptive vs Inferential Statistics
Parameter vs Statistic
Quantitative vs Qualitative (Categorical) Data
Continuous vs Discrete
The Normal Distribution & z-score
Outliers
Reliability vs Validity
Variability & Dispersion
Statistical Significance & Confidence Intervals
Correlation vs Causation
Census vs Sample

This chapter covers lots of vocab you'll see early in your stats class: sample vs population vs individual; descriptive vs inferential statistics; parameter vs statistic; quantitative vs qualitative vs categorical data; continuous vs discrete; the normal distribution; outliers; reliability vs validity; variability vs dispersion; statistical significance & confidence interval; correlation vs causation; census vs sample.

Part of the course(s): Statistics

Mapping Rules

This video covers mapping rules, which are a sort of equation-looking way to write down a transformation or function. Things like: (x,y)-->(2x,-y).

(2x,-y).
This video appears on the page: Transformations, Isometry & Mapping

Isometry

A quick video explaining what isometry is in transformations. Not too interesting, but it may be on your quiz.

This video appears on the page: Transformations, Isometry & Mapping

Images & Preimages In Transformations

Curious what the terms "image" and "preimage" mean in the context of transformations? Here you go.

This video appears on the page: Transformations, Isometry & Mapping

Transformations & Reflections

This video explains what transformations are, and most useful, it shows you the step-by-step process for performing reflections! A key skill whether you're in geometry, or pre-calc trying to figure out if a function is even or odd based on it being reflectable across the x- or y-axis. Yes!

This video appears on the page: Transformations, Isometry & Mapping

Transformations, Reflections, Isometry & Mapping
Transformations & Reflections
Images & Preimages In Transformations
Isometry
Mapping Rules

These videos tell you what translations, rotations, and dilations are, as well as showing you the steps to do reflect a shape or function across a line using graphical techniques.

Part of the course(s): Geometry ,College Algebra