Pregunta
Q. 1 The Probabilify of getting an item deflective
is 0.005 . What is the probabicity trat exactly 3 itmy
in a sample of 200 are deffective? (Given:
is 0.005 . What is the probabicity trat exactly 3 itmy
in a sample of 200 are deffective? (Given:
Ask by Santiago Schwartz. in India
Dec 28,2024
Solución de inteligencia artificial de Upstudy
Respuesta verificada por el tutor
Responder
The probability that exactly 3 items in a sample of 200 are defective is approximately 0.061158.
Solución
To find the probability that exactly 3 items in a sample of 200 are defective, we can use the binomial probability formula.
Given:
- Probability of getting a defective item = 0.005
- Sample size = 200
- Number of defective items = 3
The binomial probability formula is:
Where:
-
is the probability of getting exactly k defective items -
is the binomial coefficient, which represents the number of ways to choose k items from a sample of n -
is the probability of getting a defective item -
is the sample size -
is the number of defective items
Substitute the given values into the formula:
Now, we can calculate the probability using the binomial probability formula.
Calculate the value by following steps:
Calculate the value by following steps:
- step0: Calculate:
- step1: Subtract the numbers:
- step2: Subtract the numbers:
- step3: Expand the expression:
- step4: Subtract the numbers:
- step5: Reduce the fraction:
- step6: Multiply the terms:
- step7: Divide the terms:
- step8: Convert the expressions:
- step9: Convert the expressions:
- step10: Simplify:
- step11: Multiply the terms:
- step12: Evaluate the power:
- step13: Multiply the fractions:
- step14: Multiply:
The probability that exactly 3 items in a sample of 200 are defective is approximately 0.061158.
Respondido por UpStudy AI y revisado por un tutor profesional
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Mind Expander
To find the probability of exactly 3 defective items in a sample of 200 with a defect probability of 0.005, you can use the Poisson approximation. The expected number of defective items (λ) is calculated as
. Now, applying the formula for the Poisson probability:
For
:
Therefore, the probability of exactly 3 defective items is approximately 0.0613, or 6.13%.
Understanding how various statistical models apply can be fascinating! The Poisson distribution is especially useful for modeling rare events, like defective items in manufacturing or certain occurrences in data analysis. It simplifies calculations when the number of trials is large, and success probability is small, making it a star player in the world of statistics!
If you’re ever immersed in research or reports, it’s handy to analyze how probabilities can shift based on sample size and defect rates. In real-world applications, manufacturers rely heavily on these models to reduce defects and optimize products. Think of it as a blend of quality control and statistics that helps companies make informed decisions and improve their processes!

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