Descriptive Statistics - Find % of measurement in a certain range

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SUMMARY

The discussion centers on calculating the percentage of measurements within a specific range (48 < x < 50) for a normally distributed parameter x with a mean of 50 and a standard deviation of 1. According to the Empirical Rule, approximately 68% of measurements fall within one standard deviation of the mean. Therefore, since the range 48 < x < 50 encompasses the lower half of this interval, the expected percentage of measurements in this range is about 34%. Participants are encouraged to utilize the Empirical Rule and visual aids to enhance understanding.

PREREQUISITES
  • Understanding of normal distribution and its properties
  • Familiarity with the Empirical Rule in statistics
  • Basic knowledge of mean and standard deviation
  • Ability to interpret statistical graphs and bell curves
NEXT STEPS
  • Study the Empirical Rule and its applications in statistics
  • Learn how to calculate probabilities using the normal distribution
  • Explore graphical representations of normal distributions
  • Practice solving problems involving z-scores and percentiles
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Students, statisticians, and data analysts who need to understand normal distributions and apply statistical concepts to real-world data analysis.

oceanwalk
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1. The problem statement:
A set of measurements of a parameter x has a normal distribution with mean of 50 and standard deviation of 1. If there are a very large number of measurements, approximately what percentage of measurements would you expect to be in the range 48 < x < 50?


Relevant equations
I have no idea


3. The Attempt at a Solution
Again, I have no idea.
 
Physics news on Phys.org
Normal distribution refers to the bell curve. Here's a link to check out. Go through the explanation and try to work it out. After you've given it a shot and you end up getting stuck, let us know and we'll help you out.

http://en.wikipedia.org/wiki/Normal_distribution
 
if the measurements are normally distributed, in a large sample of them you should see the percentages follow those given in the Empirical Rule. That rule tells you the percentages to expect from [tex]\mu - k \sigma[/tex] to [tex]\mu + k \sigma[/tex] for the cases k = 1, 2, and 3. Use that, with a handily drawn sketch, to answer your question (I don't get that the intent is to use a probability calculation here).
 

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