๐จโ๐ป Navigating Digital Information #08: Data & Infographics
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Last updated about 4 years ago
13 questions
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Watch the video carefully and respond to the questions and prompts.
For valuable tips to help you get the most from instructional videos, check out How to Watch an Instructional Video.
Question 1
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Question 2
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Question 3
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In the video, Mr. Green says that we need to always place statistics in __________.
Question 4
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Question 5
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Question 6
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Question 7
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When considering the validity of data, we need to ask ourselves if the source of the data is __________.
Question 8
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Question 9
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Question 10
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Before trusting data visualizations, you should __________.
Question 11
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Question 12
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Question 13
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๐ง Retrieval Practice:
Summarize the content of this lesson. What topics, ideas, and vocabulary were introduced?
๐ Distractions Check: Identify the measures you have taken to help prevent distractions and improve your opportunity to focus and learn from this activity.
I have taken steps to help ensure that I will NOT be distracted by...
๐ Not done
๐ Prevented!
๐ notification sounds.
๐ฑ on-screen notifications.
๐จโ๐งโ๐ฆ classmates, friends, family, or other people.
๐บ other devices, screens, or media.
In his example showing how much people LOVE Crash Course videos, how did John Green manipulate the data he presented?
He surveyed 100 teachers who were biased.
He only asked his relatives what they thought.
He lied about the data.
His survey only asked 10 people, and they all worked for Crash Course.
What are some examples of data? Select all that apply.
Facts and figures
Survey results
Charts and infographics
Statistics
The existance of data makes online information more reliable.
True
False
What should we ask ourselves before trusting data?
Is it strange and weird?
Is it amusing and funny?
Is it sad and upsetting?
Is it relevant and reliable?
What is an example of a reliable, non-partisan research organization?
Spectacularly Great Research Center
Powerfully True Research Center
Proud Research Center
Pew Research Center
Why should you be concerned about data sources that are being paid by someone that the data is about?
The money could be used by the person giving the data to buy a balloon in the Macy's Thanksgiving Day parade.
The money could make the person giving the data disappointed.
The money could make the person giving the data happy.
The money could make the person giving the data biased.
What is one technique, described in the video, that people can use to present factual data in a misleading way?
Change the style of the font.
Change the scale of the chart.
Change the color of the font.
The next time you see graphic information, what should you ask yourself?
Does this data reinforce what I already thought was true?
Does the chart make me happy?
Is the source reliable AND is the data presented in a way that is misleading?