Aim  The students must be able to
 Compute means and standard deviations, expectation values, variances and covariances
 Compute probabilities and use discrete and continuous probability distributions
 Compute point and interval estimates for the parameters in the Normal distribution
 Use a test of hypotheses
 Compute correlations, find a straight line by using the method of least squares and determine the standard deviations of the straight line constants.
 Compute standard deviations and find control limits used in control charts
 Use statistical methods to solve practical engineering problems

Content  Descriptive statistics:
 Measures of central tendency, variation and linear regression.
Probability:
 Stochastic models, elements of probability, conditional probability, independence
Probability distributions:
 Expected value, variance and standard deviation.  Binomial and Poisson distribution. Uniform, normal, Students t and exponential distribution.
Statistical inference:
 Point and interval estimators. Tests of hypotheses.
Process control: Shewart control charts.
Simulation:
 Computer applications (Binomial, normal, linear and binormal model).
