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Test your basic knowledge |
Inductive Reasoning
Start Test
Study First
Subject
:
logic-and-reasoning
Instructions:
Answer 24 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. The variation between the values derived from a sample and the true values of the whole target group.
hasty generalization
Biased Sample
Method of Concomitant Variation
Margin of Error
2. A comparison of two or more things alike in specific respects.
analogical induction
Inference to the best explanation
Relevant Property
Analogy
3. A sample that does not properly represent the target group.
Enumerative Argument
3 Forms of Inductive Argument
Method of Agreement
Biased Sample
4. In statistical theory - the probability that the sample will accurately represent the target group within the margin of error.
Analogy
Inductive Argument
Confidence Level
Margin of Error
5. In enumerative induction - a sample that resembles the target group in all relevant ways.
Representative Sample
Inference to the best explanation
Inductive Argument
analogical induction
6. Reason that because two or more things are similar in several respects - they must be similar in some further respect. We evaluate arguments by analogy according to several criteria: (1) the number of relevant similarities between things being compar
Representative Sample
analogical induction
Sufficient Condition
Inference to the best explanation
7. A statement about the cause of things.
Inductive Argument
Random Sample
Causal claim
Relevant Property
8. Enumerative inductive arguments - or the basis of enumerative inductive arguments - and must be judged by the same general criteria used to judge any other enumerative induction.
Random Sample
post hoc - ergo propter hoc
Causal claim
Opinion polls
9. (after that - therefore because of that). The fallacy of reasoning that just because B followed A - A must have caused B.
Sample
post hoc - ergo propter hoc
Causal claim
hasty generalization
10. Argument intended to give probable support for its conclusion.
Sample
post hoc - ergo propter hoc
Causal claim
Inductive Argument
11. (or sample member) In enumerative induction - the observed members of the target group.
Sample
Biased Sample
Inference to the best explanation
analogical induction
12. A sample that is selected randomly from a target group in such a way as to ensure that the sample is representative. In a simple random selection - every member of the target group has an equal chance of being selected for the sample.
Causal claim
Random Sample
Confidence Level
Target Group
13. Argue from premises about some members of a group to a generalization about the entire group. The entire group is called the target group; the observed members of the group - the sample; and the group characteristics we're interested in - the relevan
Enumerative Argument
Sufficient Condition
Opinion polls
Causal claim
14. When two events are correlated--when one varies in close connection w/ the other--they are probably related.
Method of Concomitant Variation
Analogy
Sufficient Condition
analogical induction
15. (or property in question) In enumerative induction - a property - or characteristic - that is of interest in the target group.
Necessary Condition
causal argument
Method of Concomitant Variation
Relevant Property
16. Inductive argument whose conclusion contains a causal claim. There are several inductive patterns of reasoning used to assess causal connections. These include the Method of Agreement - the Method of Difference - the Method of Agreement and Differenc
Representative Sample
Margin of Error
causal argument
Necessary Condition
17. A condition for the occurrence of an event that guarantees that the event occurs.
Confidence Level
Sufficient Condition
Method of Difference
analogical induction
18. A condition for the occurrence of an event without which the event cannot occur.
Necessary Condition
Random Sample
Analogy
Relevant Property
19. An enumerative induction can fail to be strong by having a sample that's too small or not representative. When we draw a conclusion about a target group based on an inadequate sample size
Necessary Condition
analogical induction
3 Forms of Inductive Argument
hasty generalization
20. The relevant factor present when a phenomenon occurs - and absent when the phenomenon does not occur - must be the cause.
Analogy
analogical induction
Method of Difference
Biased Sample
21. (or target population) In enumerative induction - the whole collection of individuals under study.
Method of Agreement
Target Group
Inference to the best explanation
Random Sample
22. If two or more occurrences of a phenomenon have only one relevant factor in common - that factor must be the cause.
Inductive Argument
Biased Sample
analogical induction
Method of Agreement
23. A form of inductive reasoning in which we reason from premises about a state of affairs to an explanation for that state of affairs:
Method of Agreement
Method of Difference
Inference to the best explanation
causal argument
24. Enumerative - Analogical - & Causal.
Biased Sample
Sufficient Condition
3 Forms of Inductive Argument
Random Sample