How Do You Calculate the Range for Airline Bag Weights with 95% Confidence?

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SUMMARY

The discussion focuses on calculating the range for airline bag weights with 95% confidence using the normal distribution. Given a mean weight of 48.14 pounds and a standard deviation of 3.71 pounds, the critical z-value for a 95% confidence level is 1.96. The formula used is c = z* × σ, leading to the calculation of the confidence interval for the weight of a randomly selected bag. This approach effectively utilizes statistical concepts to determine the desired range.

PREREQUISITES
  • Understanding of normal distribution and its properties
  • Familiarity with confidence intervals and z-scores
  • Proficiency in using statistical calculators, such as StatCrunch
  • Knowledge of basic statistical formulas, specifically for calculating confidence intervals
NEXT STEPS
  • Learn how to calculate confidence intervals for different confidence levels
  • Explore the use of StatCrunch for statistical analysis and visualizations
  • Study the implications of standard deviation in data distribution
  • Investigate the application of z-scores in hypothesis testing
USEFUL FOR

Students studying statistics, data analysts, and anyone involved in quality control or operations research in the airline industry.

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Homework Statement


Suppose that the weights of airline passenger bags are normally distributed with a mean of 48.14 pounds and a standard deviation of 3.71 pounds.
Let X represent the weight of a randomly selected bag. For what value of c is P(E(X) - c < X < E(X) + c)=0.95? Give your answer to four decimal places.

Homework Equations



I have statcrunch and a normal, poisson, and gamma calculator.

The Attempt at a Solution



For this I assume we are looking for a standard deviation. I've been playing with a calculator but honestly I just need help getting started. thanks.
 
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I think the best way to approach this problem is to visual what the problem is asking for. What is the region under the Normal Curve that it wants?

In this case, the symmetry could be of use to you.
 
You're looking at a confidence interval.

The formula for it is: ##c = z^* \times \sigma##.
where z* is the critical z-value for the confidence level and ##\sigma## is the standard deviation.

For a confidence level of 0.95, z*=1.96, which you can find in any table for a standard normal distribution.
 

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