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## org.statcato.statistics.inferential
Class CI2PopMeanSigmaKnown

    java.lang.Object
      org.statcato.statistics.inferential.ConfidenceInterval
          org.statcato.statistics.inferential.CI2PopMeanSigmaKnown

    public class CI2PopMeanSigmaKnown

extends ConfidenceInterval

Confidence interval class for two population mean, sigma (population standard deviation) known.

Since:
  1.0
Version:
  %I%, %G%
Author:
  Margaret Yau

Field Summary

Fields inherited from class org.statcato.statistics.inferential.ConfidenceInterval
`center, confidenceLevel`

Constructor Summary
`CI2PopMeanSigmaKnown(double confidenceLevel, int n1, int n2, double xBar1, double xBar2, double sigma1, double sigma2)` Constructor

Method Summary
`double` | `criticalValue()` Returns the critical value corresponding to the given confidence level.
`double` | `marginOfError()` Returns the margin of error.

Methods inherited from class org.statcato.statistics.inferential.ConfidenceInterval
`lowerLimit, toString, upperLimit`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### CI2PopMeanSigmaKnown

    public CI2PopMeanSigmaKnown(double confidenceLevel,
                                int n1,
                                int n2,
                                double xBar1,
                                double xBar2,
                                double sigma1,
                                double sigma2)

  Constructor

  Parameters:
    `confidenceLevel` - confidence level, between 0 and 1
    `n1` - sample size 1
    `n2` - sample size 2
    `xBar1` - sample mean 1
    `xBar2` - sample mean 2
    `sigma1` - population standard deviation 1
    `sigma2` - population standard deviation 2

Method Detail

### marginOfError

    public double marginOfError()

  Returns the margin of error. E = z_(alpha/2) * sqrt(sigma1^2 / n1 + sigma2^2 / n2)

  Specified by:
    `marginOfError` in class `ConfidenceInterval`
  Returns:
    margin of error

### criticalValue

    public double criticalValue()

  Returns the critical value corresponding to the given confidence level. Uses Student's t distribution to find t_(alpha/2), where alpha is the significance level (1 - confidence level).

  Specified by:
    `criticalValue` in class `ConfidenceInterval`
  Returns:
    critical value

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