# 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
- ω
^{2} - η
^{2}

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
- ω
^{2} - 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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