PSYC 500 Statistics Exam 3

PSYC 500 Statistics Exam 3

Q1. According to Cohen’s rules of thumb what would constitute a “small” effect size?

  • .20
  • 40
  • .50
  • .80

Q2. Which variable is the most accurate estimate of the magnitude of the effect in ANOVA?

  • δ
  • d
  • ω2
  • η2

Q3. If a researcher obtains a power = .75, this means:

  • There is a 75% chance of retaining the null
  • There is a 75% chance of rejecting the null if it is false
  • There is a 75% chance of making a Type II error
  • There is a 75% chance that your data has been entered properly

Q4. Tukey’s HSD test is used when:

  • We want to find out how much of the variability in our data is due to the effect
  • We want to avoid calculating an ANOVA
  • We want to avoid calculating a repeated measures ANOVA
  • We want to find out which of the treatment means in our ANOVA were significantly different

Q5. Keeping everything else constant, changing from a 1-tailed to a 2-tailed hypothesis will:

  • increase power
  • decrease power
  • not change power
  • have an unknown effect on power

Q6. The repeated measures ANOVA breaks the ________ source of variability into 2 parts in order to eliminate the _______ source of variability.

  • within(error) – subjects’
  • between(group) – subjects’
  • total – between
  • subjects – between

Q7. If you obtain a significant F statistic you know that:

  • at least one mean is statistically different from one other mean
  • all the means are different from each other
  • all the means come from the same population
  • the null hypothesis is probably correct

Q8. For which of the following is it possible to get a negative value?

  • F
  • t
  • ω2
  • power

Q9. In an Analysis of Variance test (ANOVA), what term is used to signify (or is equivalent to) variance?

  • F-ratio
  • sum of squares
  • mean square
  • degrees of freedom

Q10. A researcher can alter the power of an experiment by

  • changing alpha
  • changing sample size
  • both a and b
  • neither a nor b

Q11. Keeping all other factors constant, changing the level of confidence from 99% to 95% will cause the width of the confidence interval to:

  • increase
  • decrease
  • remain unchanged
  • change in a random fashion

Q12. If the probability of Type II error is .43, then power is:

  • .05
  • .43
  • .57
  • not enough information to solve this problem

Q13. Keeping everything else constant, if s was increased, we would expect power to

  • increase
  • decrease
  • remain unchanged

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