In testing the hypothesis $H _ { 0 } : \mu _ { D } = 5$ vs. $H _ { 1 } : \mu _ { D } 5$ , two random samples from two normal populations produced the following statistics: $n _ { D } = 20 , \bar { x } _ { D } = 9 \text {, and } s _ { D } = 7.5$ . What conclusion can we draw at the 1% significance level?

Question

In testing the hypothesis $H _ { 0 } : \mu _ { D } = 5$ vs. $H _ { 1 } : \mu _ { D } > 5$ , two random samples from two normal populations produced the following statistics: $n _ { D } = 20 , \bar { x } _ { D } = 9 \text {, and } s _ { D } = 7.5$ . What conclusion can we draw at the 1% significance level?

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The Answer of In testing the hypothesis $H _ { 0 } : \mu _ { D } = 5$ vs. $H _ { 1 } : \mu _ { D } > 5$ , two random samples from two normal populations produced the following statistics: $n _ { D } = 20 , \bar { x } _ { D } = 9 \text {, and } s _ { D } = 7.5$ . What conclusion can we draw at the 1% significance level?

In Testing the Hypothesis H0:μD=5H _ { 0 } : \mu _ { D } = 5H0​:μD​=5

In Testing the Hypothesis $H _ { 0 } : \mu _ { D } = 5$