A management consultant was interested in whether workers who telecommute are as productive as those who work in the office. She randomly selected 60 workers who were in each of the following three groups: (1) full-time office workers, (2) part-time telecommuters, (3) full time telecommuters. After analyzing the data, the consultant noticed that the variation within groups was large relative to the the variation between sample means.Which of the following is the most correct interpretation of this data? The F statistic will be relatively large, so it is likely that the researcher can conclude that the population means may be equal. The F statistic will be relatively large, so it is likely that the researcher can conclude that the population means are not all equal. The F statistic will be relatively small, so it is likely that the researcher can conclude that the population means may be equal. The F statistic will be relatively small, so it is likely that the researcher can conclude that the population means are not all equal.
Question
A management consultant was interested in whether workers who telecommute are as productive as those who work in the office. She randomly selected 60 workers who were in each of the following three groups: (1) full-time office workers, (2) part-time telecommuters, (3) full time telecommuters. After analyzing the data, the consultant noticed that the variation within groups was large relative to the the variation between sample means.Which of the following is the most correct interpretation of this data? The F statistic will be relatively large, so it is likely that the researcher can conclude that the population means may be equal. The F statistic will be relatively large, so it is likely that the researcher can conclude that the population means are not all equal. The F statistic will be relatively small, so it is likely that the researcher can conclude that the population means may be equal. The F statistic will be relatively small, so it is likely that the researcher can conclude that the population means are not all equal.
Solution 1
The F statistic will be relatively small, so it is likely that the researcher can conclude that the population means may be equal.
This is because the F statistic in an ANOVA test is calculated as the ratio of the variance between the group means to the variance within the groups. If the variation within groups is large relative to the variation between the group means, this ratio will be small. A small F statistic suggests that the differences between the group means could be due to chance, and therefore, it is likely that the population means may be equal.
Solution 2
The F statistic will be relatively small, so it is likely that the researcher can conclude that the population means may be equal. This is because the F statistic is a ratio of the variance between groups to the variance within groups. If the variation within groups is large relative to the variation between groups, this suggests that the differences between the groups are not significant, and therefore, the population means may be equal.
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