You are vacuuming the floor when the vacuum cleaner suddenly stops working. You dump the contents of the vacuum, thinking it may be too full. It does not start. You remove the plug and replace it, pushing it in as far as it can go. Still nothing. You take the plug and put it into a different wall socket. It works! You have solved the problem of the malfunctioning vacuum cleaner by using
Table of contents
- 1. Introduction to Psychology1h 43m
- 2. Psychology Research2h 20m
- 3. Biological Psychology2h 41m
- 4. Sensation and Perception28m
- 5. Consciousness and Sleep32m
- 6. Learning1h 26m
- 7. Memory34m
- 8. Cognition37m
- 9. Emotion and Motivation35m
- 10. Developmental Psychology1h 20m
- 11. Personality1h 17m
- 12. Social Psychology1h 18m
- 13. Stress and Health41m
- 14. Psychological Disorders1h 27m
- 15. Treatment1h 24m
8. Cognition
Language Development
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A mechanical problem-solving technique is also known as
A
algorithmic.
B
means–end analysis.
C
trial and error.
D
heuristic devices.

1
Understand the context of the problem: The question is asking about a specific type of problem-solving technique in psychology.
Identify the key terms: The options provided are 'algorithmic', 'means–end analysis', 'trial and error', and 'heuristic devices'.
Define each term: 'Algorithmic' refers to a step-by-step procedure that guarantees a solution. 'Means–end analysis' involves breaking down a problem into smaller parts to reduce the difference between the current state and the goal. 'Trial and error' involves trying different solutions until finding one that works. 'Heuristic devices' are mental shortcuts or rules of thumb that simplify decision making.
Analyze the options: Consider which of these techniques involves a mechanical or repetitive approach to problem-solving.
Conclude based on definitions: 'Trial and error' is often considered a mechanical problem-solving technique because it involves trying multiple solutions without a specific strategy until the correct one is found.
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