15.3.9: Chapter 10 Lab
- Page ID
- 28623
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One Population Hypothesis Testing
Year | Year of Sale |
Price | Sale price in $Thousands |
Bedrooms | Number of bedrooms |
SqrFeet | Size of home in 100's of square feet |
Pool | Does a home have a pool ? (Yes/No) |
Garage | Does a home have a garage? (Yes/No) |
Bath | Number of Bathrooms |
Distance | Distance in miles from city center |
City | City Region (Fresno, Los Angeles, Sacramento, San Francisco, San Jose) |
School | School District Rating (Poor, Fair, Good , Excellent) |
- You want to conduct a hypothesis test about the mean home prices in California using the housing data file: housing.mpj. At the 1% significance level, design the test for the hypothesis that the mean housing price is over $850,000.
- First create a dotplot for the price data, and paste the results here. Does the value $850,000 seem to be at the center of the data, above the center of the data, or below the center of the data?
- State the null and alternative hypotheses in words.
- State the null and alternative hypotheses in population parameters.
- What model are you choosing and what assumptions are needed? Do you think the skewness and high outlier are a problem in choosing this model?
- Conduct the test at a significance level of 1%, using MINITAB command Stat>Basic Statistics>1 Population \(t\)‐test. Make sure you choose options to set \(H_a\). Paste the results here. All price data is in $thousands, so you would enter $850,000 as 850.
- Do you reject or fail to reject \(H_o\)?
- State your conclusion in the context of the problem.
- Using the online or Minitab power calculator, determine the power of the test if the population mean is really $900,000. Assume the standard deviation is $450,000. (Remember the data is entered in $ thousands).
- Using the online or Minitab power calculator, determine the sample size needed to have 95% power for the test.
- You want to conduct a hypothesis test about the standard deviation of home prices in California using the housing data file: housing.mpj. At the 5% significance level, design a test to support the claim that the standard deviation housing price is not $400,000.
- State the null and alternative hypotheses in words.
- State the null and alternative hypotheses in population parameters.
- What model are you choosing and what assumptions are needed?
- Conduct the test at a significance level of 5%, using MINITAB command Stat>Basic Statistics>1 Variance. Make sure you choose options to set \(H_a\). Paste the results here.
- Do you reject or fail to reject \(H_o\)?
- State your conclusion in the context of the problem.
- For the housing data above, we want to support the claim that the percentage of homes in California with garages is over 60%. We are going to conduct a Hypothesis Test using a significance level of 10%.
- State the null and alternative hypotheses in words.
- State the null and alternative hypotheses in population parameters.
- Create a bar chart of garages and under Chart Option, click the box to show \(y\) as a percentage. Does the bar graph support the claim that more than 60% of homes have garages?
- What model are you choosing and what assumptions are needed?
- Using the online power calculator, determine the power of the test if the population proportion under \(H_a\) is 0.65
- Conduct the test at a significance level of 5%, using MINITAB command Stat>Basic Statistics>1 Proportion. Make sure you choose options to set \(H_a\). Paste the results here.
- Do you reject or fail to reject \(H_o\)?
- State your conclusion in the context of the problem.