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When Testing for a Difference Between the Means of a Treatment

question 72

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When testing for a difference between the means of a treatment group and a placebo group, the computer display below is obtained. Using a 0.05 significance level, is there sufficient evidence to support the claim that the treatment group (variable 1) comes from a population with a mean that is different from the mean for the placebo population?
Explain.  t-Test: Two Sample for Means 1 Variable 1  Variable 2 2 Mean 65.1073866.182513 Known Variance 8.10293810.273874 Observations 50505 Hypothesized Mean Difference 06t1.7734177P(T<=t) one-tail 0.03848 T Critical one-tail 1.6448539P(T<=t) two-tail 0.076810t Critical two-tail 1.959961\begin{array} { | l | l | l | l | } \hline & \text { t-Test: Two Sample for Means } & & \\\hline 1 & & \text { Variable 1 } & \text { Variable 2 } \\\hline 2 & \text { Mean } & 65.10738 & 66.18251 \\\hline 3 & \text { Known Variance } & 8.102938 & 10.27387 \\\hline 4 & \text { Observations } & 50 & 50 \\\hline 5 & \text { Hypothesized Mean Difference } & 0 & \\\hline 6 & \mathrm { t } & - 1.773417 & \\\hline 7 & \mathrm { P } ( \mathrm { T } < = \mathrm { t } ) \text { one-tail } & 0.0384 & \\\hline 8 & \mathrm {~T} \text { Critical one-tail } & 1.644853 & \\\hline 9 & \mathrm { P } ( \mathrm { T } < = \mathrm { t } ) \text { two-tail } & 0.0768 & \\\hline 10 & \mathrm { t } \text { Critical two-tail } & 1.959961 & \\\hline\end{array}


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