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Review - Sum of Normal Random Variables

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Title: Review - Sum of Normal Random Variables


1
Review - Sum of Normal Random Variables
  • The weighted sum of two independent normally
    distributed random
  • variables has a normal distribution.
  • Example

2
Two Sample Problem
  • Sometimes we will be interested in comparing
    means in two
  • independent populations (e.g. mean income for
    male and females).
  • We consider two basic scenarios populations are
    normal or
  • populations are not normal but the sample sizes
    are large.

3
CI for Difference between Two Means Case I
  • Suppose we have two independent large random
    samples from two
  • different populations and we are interested in
    comparing the means
  • of these two populations.
  • The confidence interval for the difference
    between two means in this case is

4
Example
5
Tests for Difference between Two Means
  • Suppose we have two independent large random
    samples from two
  • different populations.
  • We are interested in testing H0 µx - µy d
    versus a one sided or a two sided alternative
  • Then.

6
Example
7
Minitab CI and Hypothesis Tests for Two Means
  • We can use Minitab to construct confidence
    intervals, conduct
  • hypothesis tests, for the difference between two
    means, two independent
  • large iid samples.
  • The command in Minitab is
  • Stat ? basic statistic ? 2 sample t ? complete
    dialogue box ? o.k.
  • Note that the data can be in two different
    columns or in one column
  • with another column denoting the population of
    each observation.
  • We can also use Minitab to calculate the power of
    the two sample
  • hypothesis test.
  • The command in Minitab is
  • Stat ? power and sample size ? 2 sample t ?
    complete dialogue ? o.k
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