To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, Acti-Chem SA (Pty) Ltd obtained the below data on the time (in minutes) needed to mix the material. Use the data, and summarized information, to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use α=0.05. Manufacturer 1 (20; 26; 24; 22). Manufacturer 2 (28; 26; 31; 27). Manufacturer 3 (20; 19; 23; 22). Furthermore, the following sums of squares are given: SST = 104; SSE = 44 and TSS = 148. What can you conclude about this scenario? A. Fail to reject H0 because F Test Statistics < F Critical value B. Fail to reject H0 because F Test Statistics > F Critical value C. Reject H0 because F Test Statistics = F Critical value D. Reject H0 because F Test Statistics > F Critical value
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, Acti-Chem SA (Pty) Ltd obtained the below data on the time (in minutes) needed to mix the material. Use the data, and summarized information, to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use α=0.05. Manufacturer 1 (20; 26; 24; 22). Manufacturer 2 (28; 26; 31; 27). Manufacturer 3 (20; 19; 23; 22). Furthermore, the following sums of squares are given: SST = 104; SSE = 44 and TSS = 148. What can you conclude about this scenario?
A. Fail to reject H0 because F Test Statistics < F Critical value
B. Fail to reject H0 because F Test Statistics > F Critical value
C. Reject H0 because F Test Statistics = F Critical value
D. Reject H0 because F Test Statistics > F Critical value
Step by step
Solved in 3 steps
