Data Science Unit 1 Review - Exploring Data

Match the following types of bias

• selection bias

• when individuals or groups in a study differ systematically from the population

• cherry picking

• only selecting evidence is presented in order to persuade the audience to accept a position

• confirmation bias

• when participants are unable or unwilling to respond to a survey

• nonresponse bias

• the tendency to interpret new evidence as confirmation of one's existing beliefs or theories

• response bias

• factors that can lead someone to respond falsely or inaccurately to a question

What is a collection of information gathered by observations, measurements, research or analysis? It may consist of facts, numbers, names, figures or even description of things.

​ (a)   data is data that represents amounts - either counted or measured

• Quantitative
• Categorical
• Continuous
• Discrete

​ (a)   data is data that represents measured amounts

• Quantitative
• Categorical
• Continuous
• Discrete

What type of bias is represented?

During presidential elections, people tend to seek information that paints the candidate they support in a positive light, while dismissing any information that paints them in a negative light.

• confirmation bias

• selection bias

• cherry picking

• response bias

• nonresponse bias

What type of bias is represented?

A job applicant is asked to take a personality test during the recruitment process. One of the questions is “Do you like meeting new people?”

The applicant thinks that, since this is a customer service job, the company is probably looking for someone who enjoys meeting new people. Despite being an introvert at heart, the applicant answers “yes” in an attempt to increase their chances of being hired.

• confirmation bias

• selection bias

• cherry picking

• response bias

• nonresponse bias

What are the six steps of the data cycle?

a

b

c

d

e

f

Collect Data

Data Modeling/Analysis

Form Question/Problem

Process (Clean) Data

Data Communication

Create Data Visualizations

Organize these options into the right categories

Groups:

(a) Categorical Data

,

(b) Quantitative Data

• height of plants

• social security numbers

• amount of gas in car

• length of song

• type of metal

• blood type

• hair color

• election results (% won)

Organize these options into the right categories

Groups:

(a) Discrete Data

,

(b) Continuous Data

• height of classmates

• number of coins in pocket

• amount of links in a chain

• distance from here to the moon

• area of a circle

• points in a basketball game

• number of books on shelf

Match the following type of data analysis

• multivariate

• analyzing two variables

• univariate

• analyzing three or more variables

• bivariate

• analyzing one variable