How Do You Calculate Confidence Intervals for Route Preferences?

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SUMMARY

The discussion focuses on calculating confidence intervals for route preferences using a binomial distribution approach. Specifically, it addresses a scenario where 30% of respondents are expected to choose Route A, and it emphasizes the use of the Normal distribution approximation for larger sample sizes (n = 50 to 800). Key calculations include determining the mean (expected value) and standard deviation for the given probability p = 0.30, which are essential for plotting the 95% confidence bounds.

PREREQUISITES
  • Understanding of binomial distribution principles
  • Knowledge of Normal distribution approximation
  • Ability to calculate mean and standard deviation
  • Familiarity with plotting data using statistical software
NEXT STEPS
  • Learn how to calculate confidence intervals using the binomial distribution
  • Explore the Normal approximation for binomial distributions
  • Study the implications of sample size on confidence intervals
  • Practice plotting confidence bounds using tools like R or Python's Matplotlib
USEFUL FOR

Statisticians, data analysts, survey researchers, and anyone involved in interpreting survey data and calculating confidence intervals.

nickelanddimed
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Consider a survey of n people asking whether they plan to use Route A or Route B, with an anticipated fraction p choosing Route A.

If p = .30, plot the 95% confidence bounds and the expected value of X as a function of n, for n = 50 to n = 800.

I have no idea where to start or how to work it out..can someone please guide me through the problem.:mad:
 
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I have difficulty believing you have no idea! Have you been sleeping through class?

Strictly speaking, this is a "binomial distribution" problem but with n= 50 to 800, I suspect you are intended to use the Normal distribution approximation.

If p= 0.7, do you know what the mean (expected value) is for given n? Do you know how to find the standard deviation?
 

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