A real-estate agent conducted an experiment to test the
effect of selling a staged home vs. selling an empty
home. To do so, the agent obtained a list of 10
comparable homes just listed for sale that were currently
empty. He randomly assigned 5 of the homes to be
"staged," meaning they were filled with nice furniture and
decorated. The owners of the 5 homes all agreed to
have their homes staged by professional decorators.
The other 5 homes remained empty. The hypothesis is
that empty homes are not as appealing to buyers as
staged homes and therefore, sell for lower prices than
staged homes. The mean selling price of the 5 empty
homes was $150,000 with a standard deviation of
$22,000. The mean selling price of the 5 staged homes
was $175,000 with a standard deviation of 35,000. A
dotplot of each sample shows no strong skewness and
no outliers.

Answer: t-test for a difference in means

Step-by-step explanation:

edg 2021

The name of the appropriate inference procedure is a t-test for a difference in means.

A t-test can be defined as a type of inferential statistic which is typically used to compare and show a significant difference between the means of two (2) groups that are drawn from a normally distributed data set (population).

This ultimately implies that, the name of the appropriate inference procedure to conduct a hypothesis test in this scenario is a t-test for a difference in means.

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