REG. ANALYSIS
This type of graph, which compares two quantitative variables, is used in regression analysis
Scatterplot
A subset of data from a larger dataset that is used for inferential statistics is known as this
Sample
The way humans interact with Generative AI is called this
Prompt
When telling a story with data, you need to have these things
Data, Narrative, and Visualizations
The most important findings of your analysis should be explained in this portion of the narrative
Climax
This value, denoted by the letter R, measures the strength of a linear relationship
Correlation Coefficient
This type of test allows us to see if our sample is significantly different from the population
Hypothesis Test
A finite sequence of well-defined instructions used to solve a computational problem is known as this
Algorithm
The "So-What" and thesis portions of a data story both comprise this element of the story
Main Point
The "So-What" statement and thesis of the narrative should be in this portion of the narrative
Initiating Event
Mike is an economist who calculated the correlation between age and net worth of people as 0.53. How would we describe this correlation?
Moderately strong and positive
This quantity is used to show statistical significance
P-value
Type of algorithm that is mainly looking at predicting a certain value as opposed to looking at hidden patterns is known as what?
Supervised Learning
What are the group of rules called that describe how to make good data visualizations?
Tufte's Rules
We perform descriptive analytics in this section of the narrative
Exposition
This phenomenon is experienced when two things happen to be correlated with each other by chance despite being unrelated to each other
Spurious correlation
Caleb is a doctor who found a study on a new cancer medication that reported a p-value of 0.23. If the significance level is 0.05, should he reject or fail to reject the null hypothesis?
Fail to reject null
Rich wants to create a model to predict next year's sales for his business. If he wants to know specific factors that impact sales, should he optimize for accuracy or interpretability?
Bonus: Which model should Rich choose (Linear Regression or Neural Network)?
Optimize for interpretability
Bonus: Linear Regression
Stephanie, a journalist, is writing an article in her hometown newspaper about the recent closure of a large factory. Since she is unhappy about the closure, she only cited sources that agreed with her viewpoint in the article. What type of bias does this article have?
Confirmation Bias
One of the functions of this section, among others, is to build the scaffolding
Rising Action