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Can the manager of a computer software company conclude there is a difference in the mean number of hours spent at a terminal?

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The manager of a computer software company wishes to study the number of hours top executives spend at their computer terminals by type of industry. The manager selected a sample of five executives from each of three industries. At the .05 significance level, can she conclude there is a difference in the mean number of hours spent at a terminal per week by industry?

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This solution uses ANOVA to test the hypothesis and full calculations and interpretation of the results are included in an attached Word and Excel file.

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