Forms of inductive reasoning:
Enumerative induction (generalization)
Definition: when you draw a conclusion that can be stronger or weaker based on several cases you have observed
Sample
The people being observed
Target
The group I would like to find out about
Relevant property
Problems that can up with enumerative induction ( when are these arguments weak?)
When is it weak?
Same too small ( fallacy: Hasty Generalization, conclusion driven from a small sample)
Is the sample representative of the target?
Is it a biased sample?
Self-selecting sample
volunteers/ when people choose themselves to be surveyed
Today:
Polls
How does polling go wrong?
Sample too small
Unrepresentative based on location
Can Miss count
The margin of error (the range if we conduct the poll multiple times)
Mean, median, mode
Mean: average
Median: middle value in a series
Mode: most common answer
You need to poll at least 1,000 people if it is scientific
Arguments from analogy (analogical induction)
Analogy - comparing things
When is it Strong or weak?
Questions to ask to identify if it is strong or weak:
Question 1: in what ways are the things compared really similar? (What are relevant similarities?)
Question 2: are they dissimilar in any important or relevant aspect?