To make this experience as pleasant as possible for the math-phobic, I drew you a picture. I’d like to introduce the world’s first Mathographic.  Ok, it’s probably not the world’s first, and it’s really just an infographic, but give a guy credit for trying to keep you entertained

To make this experience as pleasant as possible for the math-phobic, I drew you a picture. I’d like to introduce the world’s first Mathographic. Ok, it’s probably not the world’s first, and it’s really just an infographic, but give a guy credit for trying to keep you entertained

You use hypothesis tests to challenge whether some claim about a population is true (for example, a claim that 40 percent of Americans own a cellphone). To test a statistical hypothesis, you take a sample, collect data, form a statistic, standardize it to form a test statistic (so it can be interpreted on a standard …

You use hypothesis tests to challenge whether some claim about a population is true (for example, a claim that 40 percent of Americans own a cellphone). To test a statistical hypothesis, you take a sample, collect data, form a statistic, standardize it to form a test statistic (so it can be interpreted on a standard …

If all else fails, use "significant at a p>0.05 level" and hope no one notices. // This concept totally went over my head in my research stats class.

If all else fails, use "significant at a p>0.05 level" and hope no one notices. // This concept totally went over my head in my research stats class.

GOALS  One of my goals is to take stat by next fall and be done with all my math requirements.

Statistics

GOALS One of my goals is to take stat by next fall and be done with all my math requirements.

A statistical model consists of some assumptions that are observed after insights are produced from big data. The insights are then used to form a model so that you can categorize them according to their diversity. This infographic describes exactly which statistical model you should choose so that it meets your need.

A statistical model consists of some assumptions that are observed after insights are produced from big data. The insights are then used to form a model so that you can categorize them according to their diversity. This infographic describes exactly which statistical model you should choose so that it meets your need.

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