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The speed of number of bikes follow a Norma distribution with a mean of 83 km/hr. and a standard deviation of 9.4 km/hr. find the probability that a bike picked at random is travelling at 83 km/hr. to 95 km/hr.?
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The speed of number of bikes follow a Norma distribution with a mean o...
To find the probability that a randomly picked bike is traveling between 83 km/hr and 95 km/hr, we will utilize the properties of the normal distribution.
Understanding the Normal Distribution
- The speed of bikes follows a normal distribution characterized by:
- Mean (μ) = 83 km/hr
- Standard Deviation (σ) = 9.4 km/hr
Standardizing the Values
- To calculate the probability, we first standardize the values using the Z-score formula:
- Z = (X - μ) / σ
- For 83 km/hr:
- Z1 = (83 - 83) / 9.4 = 0
- For 95 km/hr:
- Z2 = (95 - 83) / 9.4 ≈ 1.28
Finding the Probabilities
- Next, we look up the Z-scores in the standard normal distribution table:
- P(Z ≤ 0) = 0.5000 (for Z1 = 0)
- P(Z ≤ 1.28) ≈ 0.8997 (for Z2 ≈ 1.28)
Calculating the Desired Probability
- The probability that a bike is traveling between 83 km/hr and 95 km/hr is given by:
- P(83 ≤ X ≤ 95) = P(Z ≤ 1.28) - P(Z ≤ 0)
- P(83 ≤ X ≤ 95) ≈ 0.8997 - 0.5000 = 0.3997
Conclusion
- Therefore, the probability that a randomly selected bike is traveling between 83 km/hr and 95 km/hr is approximately 0.3997, or 39.97%. This indicates a significant likelihood that the bike's speed falls within this range.
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The speed of number of bikes follow a Norma distribution with a mean of 83 km/hr. and a standard deviation of 9.4 km/hr. find the probability that a bike picked at random is travelling at 83 km/hr. to 95 km/hr.?
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