Descriptive vs Inferential Statistics

What is Descriptive Statistics? Descriptive statistics are numbers, such as mean, mode, and standard deviation, that summarize or describe a given data set. They typically pertain to measures of central tendency and measures of spread. What is inferential Statistics? Inferential statistics are when we make judgements and prediction based on a given data set. Sometimes,... Continue Reading →

Measures of Central Tendency

What is a measure of central tendency? A measure of central tendency is a single value that is used to describe an entire population or group of data. This value is usually the central value in which the other data points cluster around. A real life example of this is a stereotype because a stereotype... Continue Reading →


What is a z-score? A z-score measures the distance, or how many standard deviations, a data point is from the mean. A z-score of 2 means your data point is 2 standard deviations above the mean. A z-score of 0 means your data point is the mean, and a z-score of -2 means your data... Continue Reading →

Sampling Methods

  A Quick Review: What is a sample? A sample is a small group that is selected from a population. This group typically represent a population. Why do we need to take samples from the population? We need to take samples because the population is typically too large to study. If we are trying to... Continue Reading →

STEM Pick-up Lines

Math: I'm not being obtuse, but you're acute girl. *quick body roll* trace my tangent lines. At .01 significance, there is enough evidence to support the claim that you're hotter than average. You must be Sin²(X) and I must be Cos²(X), because we are meant to be 1. I don't know if you're in my... Continue Reading →

Asymptote 101

What is an asymptote? An asymptote is a line which a function will follow for ever. The function will get closer and closer to this line but will never cross it. Exponential and rational functions have asymptotes. There are 3 kinds of asymptotes: horizontal, vertical, and slant/oblique. Some functions can have more than one asymptote. A function... Continue Reading →

Type 1 and 2 errors

Type 1 Error: A type 1 error occurs when we incorrectly reject H₀. A p-value is the probability of making a type 1 error. α, or your significance level, is saying that you have a certain acceptable probability of making a type one error. Type 1 Error Example: H₀: There is no relationship between the amount... Continue Reading →

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