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ACT Science: Data Representation Passage Drill 1, Problem 1. What do the statistics in Figure 1 suggest?
ACT Science: Data Representation Passage Drill 1, Problem 2. Which of the following is a variable in Figure 1, but not in Figure 2?
ACT Science: Data Representation Passage Drill 1, Problem 3. What is the strong correlation between weight and a player's salary?
ACT Science 3.1 Data Representation Passage 210 Views
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Description:
ACT Science: Data Representation Passage Drill 3, Problem 1. What correlation can be drawn between the carbon-14 content the year a patient was born and the carbon-14 content in that individual's eye proteins?
Transcript
- 00:03
Here’s your shmoop du jour, brought to you by carbon-14 dating.
- 00:07
The antidote to match.com.
- 00:24
What correlation can be drawn between the carbon-14 content the year a patient was born
- 00:28
and the carbon-14 content in that individual's eye proteins?
- 00:33
And here are the potential answers...
Full Transcript
- 00:38
So we’re looking for a CORRELATION. Just another word for relationship.
- 00:42
But which figure do we use?
- 00:44
Well, figure 1 gives us the amount of carbon-14 the year a patient is born compared to
- 00:49
the amount of carbon-14 in that individual’s eye protein….exactly what we’re looking for.
- 00:55
So, to answer this question correctly, all we need to do is refer to figure 1.
- 01:00
Figure 1 shows that the amount of carbon-14 (14C) in an individual's eye is directly related
- 01:06
to the amount of 14C in the atmosphere at the time of that individual's birth.
- 01:15
Notice how the red line showing model output of 14C in the eye is almost exactly on top
- 01:20
of the grey line showing the 14C content in the atmosphere.
- 01:24
That means that both values are nearly identical.
- 01:27
Choice C just happens to use the exact words, “nearly identical”.
- 01:31
And that's our answer.
- 01:33
You can find love out there if you're carbon-14 dating enough.
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