Solving P(11<M<12) Using CLT and Standard Normal Distribution CDF

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SUMMARY

The discussion focuses on calculating the probability P(11 PREREQUISITES

  • Understanding of Central Limit Theorem (CLT)
  • Knowledge of cumulative distribution functions (CDF)
  • Familiarity with standard normal distribution
  • Basic statistical concepts of independent and identically distributed (i.i.d.) variables
NEXT STEPS
  • Study the application of Central Limit Theorem in probability theory
  • Learn how to calculate probabilities using the standard normal distribution CDF
  • Explore examples of independent and identically distributed random variables
  • Investigate the implications of assumptions in statistical modeling
USEFUL FOR

Students in statistics, data analysts, and anyone interested in understanding the application of the Central Limit Theorem in probability calculations.

kingwinner
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Homework Statement


Let M=(X1+X2+...+X100)/100 where each Xi's has the same distribution of X. Find P(11<M<12) in terms of the cumulative distribution function for the standard normal distribution.


Homework Equations


The Attempt at a Solution


This looks like a "central limit theorem(CLT)" question to me, but with a careful look at the assumptions of CLT, it says that the Xi's must be independent and identically distributed while in this question, there is nothing that indicates independence. How can I solve this problem then?



Thank you for helping!
 
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Any stat guy here? Please help...
 
Well, the problem says that each X_i has "the same distribution", and I would say that implies that this distribution must be independent of the other X_i's. But we don't even need to worry about this, because the problem goes on to tell us to use the normal distribution, which is what the CLT would tell us to do.
 

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