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Standard Normal Curve - Stochastic Hydrology - Assignment, Exercises of Mathematical Statistics

The main points discuss in the assignment are: Standard Normal Curve, Normal Distribution, Standard Deviation, Probability of Flow, Random Variable, Annual Runoff, Log-Normal Distribution, Monthly Stream Flow, Gamma Distribution, Weibull’s Distribution

Typology: Exercises

2012/2013

Uploaded on 04/20/2013

sathyanna
sathyanna 🇮🇳

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Assignment Module 2
1. (a) Obtain the area under the standard normal curve for following cases
i. Between z = -0.7 and z = 0
ii. z < 0.8
iii. Between z = -1.2 and z = 2.4
(b) Obtain ‘z’ from standard normal curve, such that P[Z < z] = 0.75
2. The monthly flow of a stream is assumed to follow normal distribution with mean of 280
m3/sec and standard deviation of 75 m3/sec.
i. Obtain the probability of the flow being greater than 200 m3/sec and less than 350
m3/sec.
ii. Obtain the probability of flow being less than 50 m3/sec.
iii. Obtain the probability of flow being greater than 500 m3/sec.
3. A random variable X is assumed to follow normal distribution with following
probabilities.
P[X < 10] = 0.1 and P[X < 30] = 0.85
Obtain the mean and standard deviation of the random variable.
4. The annual rainfall ‘X’ is assumed to follow normal distribution over a basin with mean
100 mm and standard deviation 70 mm. Annual runoff ‘Y’ (in mm) from the basin is
related to annual rainfall by Y = 1.5X – 30 (for X > 20mm)
i. Determine the mean and standard deviation of annual runoff.
ii. Obtain the probability that the annual runoff will exceed 80 mm.
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Assignment – Module 2

  1. (a) Obtain the area under the standard normal curve for following cases i. Between z = -0.7 and z = 0 ii. z < 0. iii. Between z = -1.2 and z = 2. (b) Obtain ‘z’ from standard normal curve, such that P[Z < z] = 0.
  2. The monthly flow of a stream is assumed to follow normal distribution with mean of 280 m 3 /sec and standard deviation of 75 m 3 /sec. i. Obtain the probability of the flow being greater than 200 m 3 /sec and less than 350 m 3 /sec. ii. Obtain the probability of flow being less than 50 m 3 /sec. iii. Obtain the probability of flow being greater than 500 m 3 /sec.
  3. A random variable X is assumed to follow normal distribution with following probabilities. P[X < 10] = 0.1 and P[X < 30] = 0. Obtain the mean and standard deviation of the random variable.
  4. The annual rainfall ‘X’ is assumed to follow normal distribution over a basin with mean 100 mm and standard deviation 70 mm. Annual runoff ‘Y’ (in mm) from the basin is related to annual rainfall by Y = 1.5X – 30 (for X > 20mm) i. Determine the mean and standard deviation of annual runoff. ii. Obtain the probability that the annual runoff will exceed 80 mm.

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  1. The mean and standard deviation of annual rainfall of a basin is 1100 mm and 400 mm respectively. The annual rainfall is assumed to follow log-normal distribution. Obtain the probability that the annual rainfall exceeds 1500 mm.
  2. In a river basin, the mean time between two flood events of a given magnitude is 10 years. Assuming that the mean time follows an exponential distribution; obtain the probability of the flood recurring within next 5 years if it has occurred in the present year.
  3. The mean and standard deviation of the monthly stream flow in a river basin are 300 m 3 /sec and 98 m 3 /sec respectively. Assuming that the monthly stream flow is approximated by Gamma distribution, obtain the probability of average stream flow being more than 500 m 3 /sec.
  4. The hourly rainfall of a watershed exceeds 240 mm with a probability of 0.02 and exceeds 270 mm with a probability of 0.01. Assuming that the hourly rainfall follows Gumbel’s (EV-I) distribution, obtain the probability that it exceeds 100 mm. Obtain the same probability if it follows Log-normal distribution.
  5. Obtain P[X < 100] using Weibull’s distribution for a sample ‘X’ with mean of 250 units and standard deviation of 190 units.

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