MIS 615 Topic 3 DQ 2 GCU

docx

School

Oral Roberts University *

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Course

615

Subject

Statistics

Date

Feb 20, 2024

Type

docx

Pages

2

Uploaded by AdmiralFieldLion3

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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? A statistical analysis entails gathering and carefully examining each "data sample in a set of items from which samples can be drawn" (TechTarget, 2020). To examine how well various training programs work with an individual printing system, ANOVA would be a suitable statistical tool. ANOVA enables the market researcher to contrast the means of more than one group and see whether there are any significant variation among them. The null hypothesis is that the three training techniques do not differ in the average amount of time needed to configure and program the printer. The market researcher can get a response based on the sample size. If there are only ten users in each training technique, there may not be sufficient statistical capacity in the sample size to identify any variations. The capacity of statistical tests is often increased with bigger sample sizes. High levels of variability among training groups have the potential to mask fundamental differences in averages. Variations in users' past technological knowledge or expertise could be the cause of this variability. The effect size, or the extent of the variation, could be small even if the ANOVA finds a significant impact among the groups. Essentially, choosing the best training technique may not be aided or meaningfully affected by any effect size.
Reference: Contributor, T. (2020, September 23). What is statistical analysis? . WhatIs. https://www.techtarget.com/whatis/definition/statistical-analysis#:~:text=In %20the%20context%20of%20business,analysis%20is%20to%20identify %20trends.
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