1. You are hired by a car manufacturer to determine what factors might increase sales of their energy-efficient car. The manufacturer modifies the original version of the car so that it either rides more smoothly or has a more luxurious interior. You then ask 10 adults who come to the showroom looking to buy a new car to test drive each and then rate their probability of buying each version of the car (original, smoother ride, better interior). The order of test drives was counterbalanced across participants.

What type of analysis should be done? One answer

Two-way mixed ANOVA

One-way repeated-measures ANOVA

Chi-square test of independence

One-way between-subjects ANOVA

Paired-samplest-test

Two-way between-subjects ANOVA

Pearson product-moment correlation

Independent-samplest-test

Chi-square goodness-of-fit

Two-way repeated-measures ANOVA

2. Looking at the output below, were any of the results significant?

Probability of Purchase (+\\- SEM) .800 .700 .600 .500 .400 .300 .200 .100 .000 Original Design Smoother Ride Version of Car Improved Interior Output Descriptive Statistics Group Mean SD Sem n improved_interior 60.50 5.85 1.85 10 smoother_ride 60.40 6.08 1.92 10 original_design 59.40 4.65 1.47 10 Inferential Statistics Sources Sums of Squares Degrees of Freedom Mean Square F Score p Between 7.40 2 3.70 0.26 .771 Within 835.30 27 Subjects 582.70 9 Error 252.60 18 14.03 Total 842.70 29