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 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.The agent tests H0: μ1 – μ2 = 0, Ha: μ1 – μ2 < 0, where μ1 = the true mean selling price of all comparable empty homes and μ2 = the true mean selling price of all comparable staged homes. The conditions for inference are met. What are the values of the test statistic and P-value for a t-test about a difference in means?Find the t-table here. .The P-value is between 0.10 and 0.15. .The P-value is between 0.20 and 0.30. .The P-value is between 0.10 and 0.15. .The P-value is between 0.20 and 0.30. 150,000 175,00022,000²35,000²550.10 and 0.15.Ot=150,00022,000250.20 and 0.30.Ot=175,00035,000²5.The P-value is between.The P-value is between A real-estate agent conducted an experiment to testthe effect of selling a staged home vs. selling an emptyhome. To do so, the agent obtained a list of 10comparable homes just listed for sale that werecurrently empty. He randomly assigned 5 of the homesto be "staged," meaning filled with nice furniture anddecorated. The owners of the 5 homes all agreed tohave their homes staged by professional decorators.The other 5 homes remained empty. The hypothesis isthat empty homes are not as appealing to buyers asstaged homes and, therefore, sell for lower prices thanstaged homes. The mean selling price of the 5 emptyhomes was $150,000 with a standard deviation of$22,000. The mean selling price of the 5 staged homeswas $175,000 with a standard deviation of 35,000. Adotplot of each sample shows no strong skewness andno outliers.The agent tests Ho: H₁ H₂ = 0, Hai H₁ - H₂ <0, wherethe true mean selling price of all comparableempty homes and ₂ = the true mean selling price ofall comparable staged homes. The conditions forinference are met. What are the values of the teststatistic and P-value for a t-test about a difference inmeans?Find the t-table here.H1=t =150,000 175,00022,0002 35,000²550.10 and 0.15.O t =+150,000 175,00022,0002 35,000²550.20 and 0.30.+.The P-value is between.The P-value is between

The formula used to calculate the test statistics and P-value for a t-test about the difference in…

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 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. The agent tests Ho: μ₁ −μ₂ = 0, Ha: H₁ - H₂ < 0, where H₁ = the true mean selling price of all comparable empty homes and μ₂ = the true mean selling price of all comparable staged homes. The conditions for inference are met. What are the values of the test statistic and P-value for a t-test about a difference in means? Find the t-table here. O t = - 150,000-175,000 22.000² 5 0.10 and 0.15. Ot= 35.000² 5 150,000 175,000 22,000² 35,000² 5 5 0.20 and 0.30. + .The P-value is between .The P-value is betweer

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 13CYU

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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 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.

The agent tests H₀: μ₁ – μ₂ = 0, H_a: μ₁ – μ₂ < 0, where μ₁ = the true mean selling price of all comparable empty homes and μ₂ = the true mean selling price of all comparable staged homes. The conditions for inference are met. What are the values of the test statistic and P-value for a t-test about a difference in means?