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Assume that you want to test the claim that the paired sample data come from population for which the mean difference is Kd = 0. Compute the value of the test statistic. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed. Subject Before 168 180 157 132 202 124 190 210 171 After 162 178 145 125 171 126 180 195 163 0 A 0.351 .052 3.156 9.468

Sagot :

The test statistic value for the given sample data with population mean difference is equal to optic C. 3.156.

As given in the question,

Given population mean difference μd = 0

sample size 'n' = 9

Sample data is:

x                y                [tex]d_{i}[/tex] ( x - y)                   [tex]( d_{i} - \bar{d} )^{2}[/tex]

168           162             6                                15.21

180           178              2                                62.41

157            145             12                               4.41

132            125             7                                  8.41

202           171              31                               445.21

124            126              -2                              141.61

190            180              10                              0.01

210            195              15                               26.01

171              163             8                                3.61

                                    ∑[tex]d_{i}[/tex] = 89                 ∑ [tex]( d_{i} - \bar{d} )^{2}[/tex] = 706.89

[tex]\bar{d}[/tex] = ( 1/ n ) ∑[tex]d_{i}[/tex]

  = (1/9) (89)

  = 9.889

  = 9.9

Standard deviation of the mean difference '[tex]S_{d}[/tex]'

= √[1 / (n - 1)]( ∑ [tex]( d_{i} - \bar{d} )^{2}[/tex] )

= √706.89/ 8

=√88.361

= 9.4

test statistic

t = ( [tex]\bar{d}[/tex] - μd)/ ( [tex]s_{d} /\sqrt{n}[/tex] )

 = ( 9.9 - 0) / ( 9.4 / √9)

 = 9.9/ 3.133

 = 3.156

Therefore, the test statistic value for the given sample data is equal to option C. 3.156

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