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A researcher investigates whether taller men are perceived to have more leadership potential. The researcher edited the same photo of a man wearing a suit

A researcher investigates whether taller men are perceived to have more leadership potential. The researcher edited the same photo of a man wearing a suit so that he appeared short, average height, or tall. Participants were either exposed to the short, average or tall version and were then asked to rate the leadership potential of the man in the photo (1 = low potential, 7 = high potential). The researcher reported F(2, 57) = 4.46, p < .05. Does height aect participant's perceptions of leadership potential?

Yes

Yes, taller people are perceived to have more leadership potential

No, there's no dierence between height and participant's perceptions of leadership potential

No, it really depends on the condition means

A researcher is interested in the effects of positive messaging on mood. Ten participants were tasked to fill in a mood questionnaire before and after exposure to positive messaging materials. Which of the following would the researcher need to calculate in order to account for total variability?

SSError SSTreatment + SSError

SSParticipants None of the answers provided are correct

You have conducted an experiment with ve treatment conditions and you want to compare the fourth mean with the average of the rst three means. Which set of coecients will allow you to conduct this comparison? Assume that the rst coecient refers to Group 1, the second to Group 2 and so on.

1 1 1 -1 -1

12 12 -1 0 0

13 13 13 -1 0

-1 -1 -1 -3 0

A researcher conducted 5 planned comparisons, each with an alpha level of .05. Three of the comparisons were statistically significant. They were then told that they should have had a family-wise error rate of .05 instead. Which of the following statements is false?

A Bonferroni correction would have reduced the chance of a Type I error

A Bonferroni correction would have reduced the chance of a Type II error

A Bonferroni correction may have resulted in none of the comparisons being significant

A Bonferroni correction would have given an alpha level of 0.01 for each comparison

A hospital was interested in purchasing new thermometers for its Emergency Department. There were two dierent thermometer devices that were identied as being potentially suitable for purchase. Wisely, the procurement ocer asked nine Emergency Department nurses to use both thermometer devices during a shift. At the end of the nurses' shift, the ocer asked them to rate both devices for their useability on a scale from 1 (not at all useable) to 7 (extremely useable). Assuming there were two zero-valued dierence scores excluded from the analysis, and with an alpha level of .05, what is the critical cut o value for the test?

2 3 4 2.306

A researcher has an inkling that dogs prefer human food over dog food. She randomly assigns her 40 dog friends to either receive human food or dog food as the reward for following simple commands (e.g., sit, stay). She realises there are quite a few problematic outliers in her data. Which statistical test is appropriate to analyse these data?

Wilcoxon's signed-ranks test

Wilcoxon's Rank Sum test

Point-biserial correlation

Spearman's rho

If a veterinarian wants to determine whether the frequencies of four dierent types of surgical procedures (i.e., abdominal, gastrointestinal, orthopaedic and thoracic) performed in her clinic in the current year matched the frequencies of those same surgical procedures performed in the previous year, what type of analysis should she conduct?

Chi-square goodness of t

Wilcoxon's rank-sum tes

Chi-square test of independence

Kruskal-Wallis

You conduct a Chi-square goodness of t test with 5 groups. Your chi- square obtained value = 11.53. What is the critical cut o value for the test at an alpha level of .05, and what is your decision?

Chi-square critical = 11.14, reject the null

Chi-square critical = 9.49, retain the null

Chi-square critical = 11.14, retain the null

Chi-square critical = 9.49, reject the null

A researcher was interested in whether living rurally verses living in the city inuenced individuals' panic-buying behaviour during the COVID lockdown. The researcher asked 230 individuals (90 rural, 140 city) whether or not they stocked up on non-perishable food items during the lockdown. What type of analysis should be run?

Chi-squared goodness of t Chi-squared test of independence

Kruskal-Wallis

One-Way Analysis of Variance

Wilcoxon's rank-sum test

A researcher is interested in whether there is a difference in the number of cuddles pets (cats, dogs, and guinea pigs) receive in a week from their owners. She realises the outcome measure was skewed. Which statistical test is appropriate to analyse these data?

A Wilcoxon's Rank Sum test A Kruskal-Wallis test An Independent groups One-way ANOVA

A Goodness of fit chi-squared test

When would you need to calculate W's? When you are conducting a Wilcoxon's Signed-Ranks tes

When the sample sizes are unequal, and the smaller group has the smaller rank-sum

When the sample sizes are unequal, and the smaller group has the larger rank-sum

When the sample sizes are equal

A researcher has found that the relationship between physical attractiveness (self-rated on a scale from 1 = 'not at all attractive', to 7 = 'very attractive') and career success is r = .35, while a colleague using a different measure of physical attractiveness (number of previous relationships) has found that the relationship between these variables is r = .28. The researcher wants to know whether the relationship she has found is stronger or weaker than the relationship found by her colleague. How can she s?

By comparing the absolute values of r for each sample The relationships cannot be compared because they are based on

different measures of physical attractiveness By converting r to r' and conducting a z-test

Testing whether each relationship is significant and then seeing whether one is significant and the other is not

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