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A market researcher is interested in knowing the type of training that works best for setting up a personal printing device. Thirty consumers are randomly selected from a population of known printer owners (i.e., users). Ten users are trained by giving them the
printed manufacturer's user manual and allowing them to read it. Another 10 users are trained from a 15-minute YouTube training video. Another 10 users are trained from a self-paced tutorial on the manufacturer's website. The users are then timed in their ability to set up and program the printer by performing a series of operations. Which statistical analysis technique should be used? What is the null hypothesis? Can the market researcher get an answer? Discuss why or why not?
The statistical analysis technique that should be used for this scenario is a one-way analysis of variance (ANOVA). ANOVA is used to compare the means of three or more groups to see if there is a statistically significant difference between them. In this case, the three groups are the users who were trained with the printed manual, the users who were trained with the YouTube video, and the users who were trained with the self-paced tutorial.
The null hypothesis for this ANOVA test would be that there is no significant difference in the mean setup and programming time between the three training groups. The alternative hypothesis would be that there is at least one significant difference between the means (
Anderson , et. al., 2023)
.
Can the market researcher get an answer?
Yes, the market researcher can get an answer to their question of which type of training works best for setting up a personal printing device by using a one-way ANOVA test. However, it is important to note that the sample size for this study is relatively small, so the ANOVA test may not be powerful enough to detect a significant difference between the means, even if there is one.
The market researcher could improve the power of the study by increasing the sample size. They could also try to recruit a more representative sample of printer owners. For example, the current sample only includes users who are willing to participate in a research study. It is possible that these users are more tech-savvy than the average printer owner.
Reference Anderson, J., Ball, N., Allen, G., Jackson, R. (2023).
Data analysis with Microsoft Excel
(2nd ed)
.
ISBN-13:
9781952023194
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