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10.1.4: Interval Estimates

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    63625
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    Semester Project – Assignment 4: Confidence Interval Analysis (Comparing Two Cities)

    In this portion of your semester project, you will apply the concepts of confidence intervals to the data you collected for two cities (40 listings from each). Confidence intervals help us estimate unknown population parameters, like the true average rent or the proportion of listings with a feature like pet-friendly policies, based on sample data.

    You’ll compute confidence intervals for the mean rental price of 1-bedroom apartments in each city at the 90% and 95% confidence levels. Finally, you’ll compare the city results and reflect on how different confidence levels affect interpretation.


    Objectives

    • Make inferences about two populations using sample data
    • Construct confidence intervals for means
    • Compare intervals across different confidence levels
    • Interpret results in real-world language and context

    Assignment Steps

    1. Estimate the mean rental price for each city at both the 90% and 95% confidence levels. Show all work clearly.
    2. Compare the confidence intervals across the two cities:
      • Do the intervals at 90% confidence overlap? What about at 95%?
      • What do the intervals tell you about the cities rental markets?
      • Discuss the impact of using a 95% vs. 90% confidence level.
    3. Final reflection: Who might benefit from these insights? How could these results be used in a practical way? Write 3-4 sentences summarizing your results.

    What to Include in Your Final Paper (Draft Version)

    This section becomes part of your project report under: Comparing Estimates from Two Cities. Your draft should include:

    • Listed confidence intervals (including level used)
    • Include your final reflection from the steps above
    • (Optional) Visual aids comparing intervals side by side

    This section should only be 1/2-1 page.


    10.1.4: Interval Estimates is shared under a not declared license and was authored, remixed, and/or curated by LibreTexts.

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