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TABLE 11-8 An Important Factor in Selecting Database Software Is the Time

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TABLE 11-8
An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C) of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours) needed to learn each of the three different brands is given below: TABLE 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C) of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours) needed to learn each of the three different brands is given below: Below is the Excel output for the randomized block design: -Referring to Table 11-8,what is the null hypothesis for testing the block effects? A) H<sub>0</sub> : μ<sub>A </sub>= μ<sub>B </sub>= μ<sub>C</sub> B) H<sub>0</sub> : μ<sub>1 </sub>= μ<sub>2 </sub>= μ<sub>3</sub> = μ<sub>4 </sub>= μ<sub>5</sub> C) H<sub>0</sub> : M<sub>A</sub> = M<sub>B</sub> = M<sub>C</sub> D) H<sub>0</sub> : M<sub>1 </sub>= M<sub>2 </sub>= M<sub>3</sub> = M<sub>4</sub> = M<sub>5</sub> Below is the Excel output for the randomized block design: TABLE 11-8 An important factor in selecting database software is the time required for a user to learn how to use the system.To evaluate three potential brands (A,B and C) of database software,a company designed a test involving five different employees.To reduce variability due to differences among employees,each of the five employees is trained on each of the three different brands.The amount of time (in hours) needed to learn each of the three different brands is given below: Below is the Excel output for the randomized block design: -Referring to Table 11-8,what is the null hypothesis for testing the block effects? A) H<sub>0</sub> : μ<sub>A </sub>= μ<sub>B </sub>= μ<sub>C</sub> B) H<sub>0</sub> : μ<sub>1 </sub>= μ<sub>2 </sub>= μ<sub>3</sub> = μ<sub>4 </sub>= μ<sub>5</sub> C) H<sub>0</sub> : M<sub>A</sub> = M<sub>B</sub> = M<sub>C</sub> D) H<sub>0</sub> : M<sub>1 </sub>= M<sub>2 </sub>= M<sub>3</sub> = M<sub>4</sub> = M<sub>5</sub>
-Referring to Table 11-8,what is the null hypothesis for testing the block effects?

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