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A B C D E 1 YearQ Lowincome Modincome Highincome 2 2020Q1 3.3 0.9 -0.2 3 2020Q2 4.6 1.3 0.1 4 2020Q3 3.5 3.0 0.7
A B C D E 1 YearQ Lowincome Modincome Highincome 2 2020Q1 3.3 0.9 -0.2 3 2020Q2 4.6 1.3 0.1 4 2020Q3 3.5 3.0 0.7 5 2020Q4 7.6 4.0 1.2 6 2021Q1 6.4 3.4 2.6 7 2021Q2 3.5 3.2 3.2 202103 6.4 3.5 2.5 9 202104 4.2 3.3 2.0 10 2022Q1 6.8 3.3 2.1 11 1. House Price Changes in Chicago Areas using data (11 points) During the Covid-19 pandemic, we experienced unprecedented economic challenges in the housing market. Due to the lock-down in working places, the demand for housing, primarily single-family, had increased dramatically. Using the data from research at the Institute for Housing Studies at DePaul University, we found the following house price changes during the pandemic periods by income level (Low-Income Areas, Moderate Income Areas, and High Income Areas). The number means the percent change in single-family house prices from the previous quarter. 1) Find the average and the standard deviation of the percent change of house price for each income area. Who is the highest or the lowest changes by income area? 2) Suppose that we know the population standard deviation, which is 1.2. Then, perform the following hypothesis for each income area (2.6 percent was the average of the entire City of Chicago ] Ho : H = 2.6 Ha : H # 2.63) Suppose that the population standard deviation is unknown. Then, perform the following hypothesis for each income area. HO : H = 2.6 Ha: H # 2.6 4) Suppose that the population standard deviation is unknown. Then, perform the following hypothesis for each income area Ho: H 2 2.6 Ha: A
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