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Analyzing RV Ownership: Data-Driven Decision on Vacationing

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In August 1990, a campground inquiry sparked a data-driven investigation into RV ownership. Faced with the question, "Does everyone else have RVs?" we collected and analyzed vehicle data during our trip to Yellowstone. Our sample revealed that only 6% to 9.6% of people own RVs, leading us to conclude that RV ownership is below 50%. This confidence interval gives us a 95% assurance that the majority of travelers do not have RVs, essentially saving us from an unnecessary purchase. We leveraged data analysis to make an informed decision about vacations.

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Analyzing RV Ownership: Data-Driven Decision on Vacationing

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  1. Confidence Interval on Vacation Time: Aug, 1990 Place: Campground “Can we buy an RV?” “Why?” “Everyone else does!” “Really!?”

  2. Let us collect some data! My Favorite Recipe : • Question • Data • Analysis • Conclusion

  3. Decision Through Data! Question: “Does everyone else have RV’s?” If p>0.5, we will buy an RV! Data: To and from Yellowstone, tallied all vehicles in the opposite direction.

  4. Original Data Collection Sheets

  5. Analysis:x = 67RV’s n = 857vehicles sample proportion is: CI for p is: Conclusion: There is strong evidence for p<0.5. Less than 50% people have RV’s! $ saved!

  6. Confidence Interval to find the true proportion of RV’s: p = ? Analysis:x = 67RV’s n = 857vehicles We want 95% confidence. Conclusion: We are 95% Confident that the true p = (0.078±0.018)! Only 6% to 9.6% people have RV’s! $ saved!

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