A company that sells running shoes online wants to compare two new marketing strategies. They will test the strategies on 10 weekdays. In the morning of each day, a web page describing the comfort of the running shoes will be displayed. In the afternoon of each day, a web page describing the discounted price for the shoes will be displayed. Sales of the featured running shoes in the morning will be compared with sales in the afternoon at the end of the experiment. What are the experimental units
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Question:
A company that sells running shoes online wants to compare two new marketing strategies. They will test the strategies on 10 weekdays. In the morning of each day, a web page describing the comfort of the running shoes will be displayed. In the afternoon of each day, a web page describing the discounted price for the shoes will be displayed. Sales of the featured running shoes in the morning will be compared with sales in the afternoon at the end of the experiment. What are the experimental units, the treatments, and the outcomes for this experiment
Answer:The explanation of the three factors and they conclusion are below. Explanation:To begin with, when we talk about experimental units we refer to the entities that the researcher looks forward to make inferences about, so that means that in this case the experimental units of the situation will be all the people who got to visit the website in both schedules, the morning shift and the afternoon shift. Secondly, the treatments is understood to be the process or the way, it could be said, that the researchers administrate to the experimental units. So that implicates that in this case the treatments will be the morning with its comfort described and the afternoon on the other side with its discounted prices shown. Finally, the most probable outcomes for this experiments will be that the statics will show how the people interact with the variables and which of them generated more interest, that being either price or comfort. It will also show the behavior of the people when it comes to understand if the tend more to visit the web site at morning or afternoon.
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