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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 value of the F test statistic for testing the block effects?
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 value of the F test statistic for testing the block effects?
-Referring to Table 11-8, what is the value of the F test statistic for testing the block effects?


Definitions:

SSE

Sum of Squared Errors; a measure of the discrepancy between data and an estimation model, representing the squared differences between observed and predicted values.

Total Sum of Squares

The sum of squared differences between each observation and the overall mean, a measure of total variation within a dataset.

Larger

In a statistical context, this could refer to a value or effect size that is greater in magnitude compared to another value or effect size.

Total SS

Stands for the total sum of squares in statistics, which measures the total variation in a dataset.

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