Probability of Light Bulb Lifespan: Normal Distribution with Mean 400 Days

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SUMMARY

The lifespan of a light bulb manufactured by a company follows a normal distribution with a mean of 400 days and a standard deviation of 75 days. To calculate the probability of a randomly chosen light bulb lasting at least 450 days or less than 150 days, one must standardize the distribution using the formula Z = (X - μ) / σ. This allows for the use of Z-tables to find the probabilities associated with these values. Understanding the concepts of mean, standard deviation, and standardization is crucial for accurate probability calculations.

PREREQUISITES
  • Understanding of normal distribution
  • Knowledge of mean and standard deviation
  • Familiarity with Z-scores and Z-tables
  • Basic statistics concepts
NEXT STEPS
  • Learn how to calculate Z-scores for different values
  • Study the use of Z-tables for finding probabilities
  • Explore variance and its relationship to standard deviation
  • Practice problems involving normal distribution and light bulb lifespan scenarios
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Students studying statistics, data analysts, and anyone interested in understanding probability distributions and their applications in real-world scenarios.

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The life of a light bulb manufactured by a company is found to be normally distributed. if the bulbs last 400 days with a standard deviation of 75 days, what is the probability that a randomly chosen light bulb lasts?


a) at least 450 days?
b) less than 150 days?
etc.

Throughout the examples in the book I am studying, i am not making much sense of this.
Would be appreciated for some advice were to start.

Thanks
 
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recoil33 said:
The life of a light bulb manufactured by a company is found to be normally distributed. if the bulbs last 400 days with a standard deviation of 75 days, what is the probability that a randomly chosen light bulb lasts?


a) at least 450 days?
b) less than 150 days?
etc.

Throughout the examples in the book I am studying, i am not making much sense of this.
Would be appreciated for some advice were to start.

Thanks

You can say that the 400 is the mean. They gave you the standard deviation, so you can find the variance.

Then you just need to 'standardize' the distribution as tables will give you P(Z) where Z=(X-μ)/σ
 
Well thank makes it a bit more clear, Thanks for that.
 

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