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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:
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?
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.
Q17: In testing for differences between the means
Q21: Referring to Table 14-1, for these data,
Q23: The sample size in each independent sample
Q25: Referring to Table 12-19, the calculation of
Q31: Referring to Table 11-3, based on the
Q51: Referring to Table 9-2, what is the
Q99: Referring to Table 10-4, what is the
Q156: Referring to Table 13-2, what is the
Q158: Referring to Table 11-6, what is the
Q165: Referring to Table 13-4, the coefficient of