Question
A cognitive psychologist expects that reaction times on a simple puzzle task will be impacted by mood. He randomly assigns participants to watch either a happy or a sad film before completing the puzzle and records how long it takes them to finish. Which of the following best describes the hypothesis in this study? Causal hypothesis Predictive hypothesis Dependent variable Untestable hypothesis Question 8 (1 point) A samplen of population can be considered "representative" if it: contains the phenomena of interest. demonstrates sampling bias. reflects the whole population to be studied. is taken systematically from the population.
Ask by Macdonald Carlson. in the United States
Mar 20,2025
Upstudy AI Solution
Tutor-Verified Answer
Answer
1. The hypothesis is a causal hypothesis.
2. A sample is representative if it reflects the whole population being studied.
Solution
1. The psychologist assigns participants to watch either a happy or a sad film before doing the puzzle, thus manipulating mood. Because the design involves actively changing an independent variable (mood) to see its effect on reaction time, the hypothesis is testing a causal relationship.
**Answer: Causal hypothesis**
2. A representative sample is one in which the characteristics of the sample reflect those of the entire population that is being studied. This means the sample should mirror the key features of the whole population without introducing systematic bias.
**Answer: reflects the whole population to be studied.**
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Simplify this solution Extra Insights
In this study, the researcher is suggesting that mood has an effect on reaction times when completing a puzzle, which indicates a causal relationship. This means the hypothesis posits that changes in one variable (mood) will lead to changes in another (reaction time), making it a causal hypothesis. A sample of a population is considered "representative" when it reflects the characteristics of the whole population being studied. This means that if you were to draw conclusions from your sample, they would be applicable to the larger population, allowing for accurate insights and generalizations.
