PSY 203 Midterm Practice Quiz Part 2

This is the second and final part to my quizzes on preparing for a PSY 203 midterm exam. Topics include confounds, extraneous variables, and characteristics of different types of graphs.

The quiz can also help you study for understanding the different types of normal and non-normal distributions, types of Kurtosis, and correlation types.

Created by: HazelRose
  1. ___ are cues that inform the subject how he or she is expected to behave.
  2. ___ involves not telling the participant the hypothesis, so there aren't any major changes in behavior.
  3. ___ involve participants receiving a pill or injection containing an inert, harmless substance; they do not receive the drug given to members of the experimental group.
  4. ___ are the impact an experimenter's expectation can have on the outcome of a research study.
  5. ___ are when participants and research assistants are both uniformed.
  6. ___ are when a researcher writes out a protocol ahead of time to avoid differences in instruction to different groups.
  7. A ___ is any variable not under investigation by the researcher that might influence the outcome of a study. While a ___ variable is a type of ___ that we know is a problem.
  8. ___ are a scale of measurement that is either nominal or ordinal, it involves categorization, and the bars do not touch.
  9. ___ are a scale of measurement involving interval or ratio, bars touch showing a continuum in data.
  10. ___ use interval or ratio, they start and end at x-axis, and can involve multiple data sets on the graph.
  11. A frequency polygon, with a mid-point, extreme scores, and points that never touch the x-axis are characteristics of what type of distribution?
  12. Which term describes how flat or how peaked the curve of a graph is?
  13. ___ is when the curve is normal.
  14. ___ is when the curve is really peaked.
  15. ___ is when several frequently occurring scores result in a plateau shape.
  16. ___ is when one tail of the data is longer than the other, indicating asymmetry in the data set.
  17. A ___ linear relationship is when scores are increasing on both variables, like textbook costs and enrolled credits or car age and mileage.
  18. A ___ relationship is when one variable is increasing, while the other is decreasing, like the number of alcoholic beverages consumed and driving accuracy or exam scores and hours spent playing video games.
  19. A ___ relationship is when one variable increases, the other starts to increase, but then starts to decrease, like car value over time.
  20. A ___ relationship means the variables have no correlation, like the number of siblings someone has and rates of reading.

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