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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, there is evidence of a significant difference in the mean amount of time needed to learn Brand A and Brand C at the 5% level of significance.
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, there is evidence of a significant difference in the mean amount of time needed to learn Brand A and Brand C at the 5% level of significance.
-Referring to Table 11-8, there is evidence of a significant difference in the mean amount of time needed to learn Brand A and Brand C at the 5% level of significance.


Definitions:

Null Hypothesis

A statement in hypothesis testing that there is no significant difference or effect, serving as the default assumption to be tested against alternative hypotheses.

Population Variances

A measure of the dispersion or spread of a set of data points within a population.

F-distributed

Pertaining to an F-distribution, used in statistical analysis to compare variances.

Independent Samples

Two or more groups of observations that are collected from different populations and have no relationship with each other.

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