A random sample of 10 observations was selected from each of four normal populations. A partial one-way ANOVA table is shown below: $$\begin{array} { | l | c | c | c | c | }
\hline \text { Source of Variation } & \text { SS } & d f & M S & F \
\hline \text { Treatments } & * & * & 270 & * \
\hline \text { Error } & * & * & * & \
\hline \text { Total } & 1,350 & * & & \
\hline
\end{array}$$ a. Complete the missing entries (identified by asterisks) in the ANOVA table.
b. How many groups were in this study?
c. How many experimental units were in this study?
d. At the 5% significance level, can we infer that the means of the populations differ?

Question

A random sample of 10 observations was selected from each of four normal populations. A partial one-way ANOVA table is shown below: $$\begin{array} { | l | c | c | c | c | } 
\hline \text { Source of Variation } & \text { SS } & d f & M S & F \
\hline \text { Treatments } & * & * & 270 & * \
\hline \text { Error } & * & * & * & \
\hline \text { Total } & 1,350 & * & & \
\hline
\end{array}$$ a. Complete the missing entries (identified by asterisks) in the ANOVA table.
b. How many groups were in this study?
c. How many experimental units were in this study?
d. At the 5% significance level, can we infer that the means of the populations differ?

Quizplus · Accepted Answer

The Answer of A random sample of 10 observations was selected from each of four normal populations. A partial one-way ANOVA table is shown below: $$\begin{array} { | l | c | c | c | c | } 
\hline \text { Source of Variation } & \text { SS } & d f & M S & F \
\hline \text { Treatments } & * & * & 270 & * \
\hline \text { Error } & * & * & * & \
\hline \text { Total } & 1,350 & * & & \
\hline
\end{array}$$ a. Complete the missing entries (identified by asterisks) in the ANOVA table.
b. How many groups were in this study?
c. How many experimental units were in this study?
d. At the 5% significance level, can we infer that the means of the populations differ?

A Random Sample of 10 Observations Was Selected from Each