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A bottling company prints 300 ml on its label. The quality control supervisor selects nineteen cans at random and checks th

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Given\, \, \mu =300,\, \, \bar{X}=297.3,\, \, standard\, \, deviation\, \, of\, \, sample\, \, s=3.2

sample\, \, size\, \, n=19

\left ( a \right )\textbf{Null Hypothesis}\, \, H_{0}:\, \, \mu =300

\textbf{Alternative Hypothesis}\, \, H_{0}:\, \, \mu < 300

\left ( b \right )\textbf{Text statistic}

t=\frac{\bar{X}-\mu }{\frac{s}{\sqrt{n}}}=\frac{297.3-300}{\frac{3.2}{\sqrt{19}}}

=\textbf{-3.678}

\textbf{Level of significance}:\, \, \alpha =0.05

\textbf{Critical value}:\, \, The\, \, value\, \, \, of\, \, t_{\alpha }\, \, at\, \, \alpha =0.05\, \, level\, \, of\, \, significance\, \, for

v=19-1=18\, \, degree\, \, of\, \, freedom\, \, is\, \, -2.101

\left ( c \right )\, \, State\, \, the\, \, rejection\, \, region

  \textbf{The rejection region is t}< \textbf{-2.101}\, \, for\, \, left\, \, tailed\, \, test

As\, \, t_{calculated}\left ( -3.678 \right )\, \, is\, \, less\, \, than\, \, t_{\alpha }\left ( -2.101 \right )

\left ( d \right )\, \, H_{o}\, \, \textbf{is rejected. There is sufficient evidence to conclude that}

  \textbf{the mean volume is less than that claimed on the label}

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