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UNIVERSITY OF REGINA
DEPARTMENT OF MATHEMATICS AND STATISTICS
  Stat100-002 Elementary Statistics for Applications
                 Formula sheet for Midterm Test 1


                                     1
Mean:                      x    =    n ∑ xi

                                           ∑(xi −x)2
Standard deviation:        sx   =            n−1
                                                      2
                                              2 (∑ x )
                                           ∑ xi − ni
                                =               n−1
                                              2
                                           ∑ xi −nx2
                                =             n−1




                                      1             xi −x      yi −y
Correlation coefficient:    r    =    n−1 ∑            sx         sy

                                                n(∑ xi yi )−(∑ xi )(∑ yi )
                                =
                                          [n(∑ xi2 )−(∑ xi )2 ][n(∑ y2 )−(∑ yi )2 ]
                                                                     i




Regression line:           ˆ
                           y    =   a + bx
                                      sy
  Slope:                   b    =   r sx
                                     n(∑ xi yi )−(∑ xi )(∑ yi )
                                =               2
                                       n(∑ xi )−(∑ xi )2

  y-intercept:             a    =   y − bx
                                                2
                                     (∑ yi )(∑ xi )−(∑ xi )(∑ xi yi )
                                =                 2
                                            n(∑ xi )−(∑ xi )2

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Formulas

  • 1. UNIVERSITY OF REGINA DEPARTMENT OF MATHEMATICS AND STATISTICS Stat100-002 Elementary Statistics for Applications Formula sheet for Midterm Test 1 1 Mean: x = n ∑ xi ∑(xi −x)2 Standard deviation: sx = n−1 2 2 (∑ x ) ∑ xi − ni = n−1 2 ∑ xi −nx2 = n−1 1 xi −x yi −y Correlation coefficient: r = n−1 ∑ sx sy n(∑ xi yi )−(∑ xi )(∑ yi ) = [n(∑ xi2 )−(∑ xi )2 ][n(∑ y2 )−(∑ yi )2 ] i Regression line: ˆ y = a + bx sy Slope: b = r sx n(∑ xi yi )−(∑ xi )(∑ yi ) = 2 n(∑ xi )−(∑ xi )2 y-intercept: a = y − bx 2 (∑ yi )(∑ xi )−(∑ xi )(∑ xi yi ) = 2 n(∑ xi )−(∑ xi )2