Distributions

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DISTRIBUTIONS

Discrete Distributions

Geometric Distribution
Hypergeometric Distribution
Binomial Distribution
Poisson Distribution

Continuous Distributions

Exponential Distribution
Normal Distribution

  1. A finite population contains a proportion p defective items. A sample of size n is drawn at random without replacement. If N is small i.e. N < 50, the number of defectives observed in the sample follows :

    The Hypergeometric Distribution
    The Binomial Distribution
    The Poisson Distribution
    The Exponential Distribution
    The Normal Distribution

  2. If the population size in N in (1) above is big, and the sample size n is small relative to N the number of defectives observed in the sample can be approximated by:

    The Hypergeometric Distribution
    The Binomial Distribution
    The Poisson Distribution
    The Exponential Distribution
    The Normal Distribution

  3. If the sample is large and the proportion defective is small, the observed number of defectives in the sample can be approximated by:

    The Hypergeometric Distribution
    The Poisson Distribution
    The Exponential Distribution
    The Normal Distribution

  4. Which distribution describes waiting time between Poisson occurrences?

    The Hypergeometric Distribution
    The Binomial Distribution
    The Poisson Distribution
    The Exponential Distribution
    The Normal Distribution

  5. Which distribution measures continuous variables such as height, weight?

    The Hypergeometric Distribution
    The Binomial Distribution
    The Poisson Distribution
    The Exponential Distribution
    The Normal Distribution

  6. Which distribution consists of repeating trials until first success?

    The Hypergeometric Distribution
    The Binomial Distribution
    The Poisson Distribution
    The Geometric Distribution
    The Normal Distribution

 

 

 

The Normal Distribution

 

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Last updated: September, 2002.
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