What Is the Ideal X-Scale for a Histogram of Flight Arrival Times?

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Homework Help Overview

The discussion revolves around determining the appropriate x-scale for a histogram representing flight arrival times, given a mean arrival time and standard deviation. The context involves understanding how to visualize data that follows a normal distribution.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the concept of using standard deviations to define the x-scale, with some suggesting a range of 3 to 5 standard deviations from the mean. Questions arise regarding the interpretation of probabilities associated with standard deviations and the rationale behind the suggested range.

Discussion Status

The discussion is active, with participants sharing insights about normal distribution and standard deviation. Some guidance regarding the use of standard deviations for setting the x-scale has been provided, though there is still some confusion and a lack of consensus on specific interpretations.

Contextual Notes

Participants are navigating the challenge of applying statistical concepts to a practical scenario, with some uncertainty about the definitions and implications of standard deviations in this context.

whitehorsey
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1. An airline's flights have a mean arrival time of 5.8 min late with standard deviation of 2.1 min. What would be the appropriate x - scale for a histogram?



2. http://www.mathsrevision.net/gcse/sdeviation2.gif



3. I tried to do this problem, but I couldn't think of anyway to find the x - scale. Can you please explain to me how? Thank You!
 
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I don't know if this is really what they are asking, but in a normal distribution probability of finding a value outside two standard deviations (on either side) of the mean is about 5%. So usually, if you fit 3 ~ 5 standard deviations on your x-scale you are good.
 
CompuChip said:
I don't know if this is really what they are asking, but in a normal distribution probability of finding a value outside two standard deviations (on either side) of the mean is about 5%. So usually, if you fit 3 ~ 5 standard deviations on your x-scale you are good.

There asking for what you said, but I don't get what u mean about the 5% and how did u get 3 ~ 5 standard deviations.
 

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