Multiple choice questions
Take the quiz test your understanding of the key concepts covered in the chapter. Try testing yourself before you read the chapter to see where your strengths and weaknesses are, then test yourself again once you’ve read the chapter to see how well you’ve understood.
The degree to which a statistical model represents the data collected is known as the:
Answer choices
- Fit
- Homogeneity
- Reliability
- Validity
Answer: Fit
If we calculated an effect size and found it was r = .42 which expression would best describe the size of effect?
Answer choices
- Small
- Small to medium
- Medium to large
- Large
What is the relationship between the sum of squared errors (SS), the sample size (n) and the variance (s2)?
Answer choices
- SS = s2/(n – 1).
- s2 = SS(n – 1).
- n = (s2/SS) – 1.
- s2 = SS/(n – 1).
Answer: s2 = SS/(n – 1)
If we use the mean as a model, what does the variance represent?
Answer choices
- The average error between the model and the observed data.
- The total error between the model and the observed data.
- The squared total error between the model and the observed data.
- The square-rooted average error between the model and the observed data.
Answer: The average error between the model and the observed data
Given a test is normally distributed with a mean of 30 and a standard deviation of 6:
- What is the probability that a single score drawn at random will be greater than 34?
- What is the probability that a sample of 9 scores will have a mean greater than 34?
- What is the probability that the mean of a sample of 16 scores will be either less than 28 or greater than 32?
Answer choices
- 0.0228
- 0.2524
- 0.1826
Answer: 0.2524
