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03 Jun 2026, 11:22
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Difficulty:
85%
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Question Stats:
54% (02:08) correct
46%
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wrong
based on 117
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For individuals newly hired as data analysts, a number of organizations offer formal data-analysis training programs. Although individuals can work as data analysts without having completed such a program, the programs are purportedly effective in teaching sound data-analysis practices. Evidence for their effectiveness is provided by the following data: Whereas approximately one-third of employed data analysts have completed such a program, only eight percent of analysts whose work resulted in serious reporting errors have done so.
Which of the following, if true, most seriously weakens the conclusion drawn from the data above?
A. Employers generally offer higher salaries to data analysts who have completed a formal data-analysis training program.
B. Newly hired data analysts who are most likely to complete a training program are those who already have several years of experience working with data in related roles.
C. Although formal data-analysis training programs are offered by a number of different organizations, they are generally similar in both content and instructional approach.
D. Most serious reporting errors result from faulty data supplied to analysts rather than from mistakes made by the analysts themselves.
E. In terms of workload and average number of reports produced annually, data analysts who have completed a training program do not differ from those who have not.
Which of the following, if true, most seriously weakens the conclusion drawn from the data above?
A. Employers generally offer higher salaries to data analysts who have completed a formal data-analysis training program.
B. Newly hired data analysts who are most likely to complete a training program are those who already have several years of experience working with data in related roles.
C. Although formal data-analysis training programs are offered by a number of different organizations, they are generally similar in both content and instructional approach.
D. Most serious reporting errors result from faulty data supplied to analysts rather than from mistakes made by the analysts themselves.
E. In terms of workload and average number of reports produced annually, data analysts who have completed a training program do not differ from those who have not.
03 Jun 2026, 18:15
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For individuals newly hired as data analysts, a number of organizations offer formal data-analysis training programs. Although individuals can work as data analysts without having completed such a program, the programs are purportedly effective in teaching sound data-analysis practices. Evidence for their effectiveness is provided by the following data: Whereas approximately one-third of employed data analysts have completed such a program, only eight percent of analysts whose work resulted in serious reporting errors have done so.
Which of the following, if true, most seriously weakens the conclusion drawn from the data above?
The argument uses a lower error rate among trained analysts as evidence that the training programs are effective. The key weakness would be that trained analysts were already less likely to make errors before the training, so the lower error rate may not be caused by the program.
A. Employers generally offer higher salaries to data analysts who have completed a formal data-analysis training program.
This does not weaken the argument. Higher salaries do not explain why trained analysts are less represented among serious reporting errors.
B. Newly hired data analysts who are most likely to complete a training program are those who already have several years of experience working with data in related roles.
This is correct. If the people who complete the programs already tend to have relevant experience, then their lower error rate may be due to prior experience, not to the training program. That weakens the claim that the program itself teaches sound data-analysis practices effectively.
C. Although formal data-analysis training programs are offered by a number of different organizations, they are generally similar in both content and instructional approach.
This does not weaken the argument. Similar content and approach do not show that the programs are ineffective.
D. Most serious reporting errors result from faulty data supplied to analysts rather than from mistakes made by the analysts themselves.
This weakens somewhat, because serious reporting errors may not always reflect analysts’ skill. But it does not explain why trained analysts are much less represented among those errors as directly as B does.
E. In terms of workload and average number of reports produced annually, data analysts who have completed a training program do not differ from those who have not.
This removes a possible alternative explanation and therefore may strengthen the argument.
Answer: (B)
Which of the following, if true, most seriously weakens the conclusion drawn from the data above?
The argument uses a lower error rate among trained analysts as evidence that the training programs are effective. The key weakness would be that trained analysts were already less likely to make errors before the training, so the lower error rate may not be caused by the program.
A. Employers generally offer higher salaries to data analysts who have completed a formal data-analysis training program.
This does not weaken the argument. Higher salaries do not explain why trained analysts are less represented among serious reporting errors.
B. Newly hired data analysts who are most likely to complete a training program are those who already have several years of experience working with data in related roles.
This is correct. If the people who complete the programs already tend to have relevant experience, then their lower error rate may be due to prior experience, not to the training program. That weakens the claim that the program itself teaches sound data-analysis practices effectively.
C. Although formal data-analysis training programs are offered by a number of different organizations, they are generally similar in both content and instructional approach.
This does not weaken the argument. Similar content and approach do not show that the programs are ineffective.
D. Most serious reporting errors result from faulty data supplied to analysts rather than from mistakes made by the analysts themselves.
This weakens somewhat, because serious reporting errors may not always reflect analysts’ skill. But it does not explain why trained analysts are much less represented among those errors as directly as B does.
E. In terms of workload and average number of reports produced annually, data analysts who have completed a training program do not differ from those who have not.
This removes a possible alternative explanation and therefore may strengthen the argument.
Answer: (B)
07 Jun 2026, 08:55
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For individuals newly hired as data analysts, a number of organizations offer formal data-analysis training programs. Although individuals can work as data analysts without having completed such a program, the programs are purportedly effective in teaching sound data-analysis practices. Evidence for their effectiveness is provided by the following data: Whereas approximately one-third of employed data analysts have completed such a program, only eight percent of analysts whose work resulted in serious reporting errors have done so.
Conclusion:
the programs are purportedly effective in teaching sound data-analysis practices
Supporting premise:
Whereas approximately one-third of employed data analysts have completed such a program, only eight percent of analysts whose work resulted in serious reporting errors have done so.
We see that the reasoning presented is basically the following: One-third of data analysts have completed a training program, but only eight percent of analysts whose work has resulted in serious reporting errors have done so. So, the disproportionately low representation of analysts who have completed a training program among those whose work has resulted in serious errors indicates that the programs are effective.
Which of the following, if true, most seriously weakens the conclusion drawn from the data above?
The correct answer to this Weaken question will show that, though the data is accurate, the conclusion may not be.
A. Employers generally offer higher salaries to data analysts who have completed a formal data-analysis training program.
If anything, the fact that employers are willing to offer higher salaries to analysts who have completed a training program indicates that employers, at least, believe the programs to be effective.
So, if anything this choice is in line with, rather than weakens the case for, the conclusion.
Eliminate.
B. Newly hired data analysts who are most likely to complete a training program are those who already have several years of experience working with data in related roles.
This choice weakens the argument by suggesting a possible alternate reason why a low percentage of serious errors result from the work of analysts who have completed a training program.
After all, if those analysts most likely to complete a training program are those who already have several years of experience working with data, then it could be that what's going on is that analysts who complete a program make fewer errors because of experience, not because the programs are effective.
Keep.
C. Although formal data-analysis training programs are offered by a number of different organizations, they are generally similar in both content and instructional approach.
The fact that the programs are similar doesn't mean they aren't effective.
This choice has no effect on the strength of the argument.
Eliminate.
D. Most serious reporting errors result from faulty data supplied to analysts rather than from mistakes made by the analysts themselves.
This choice arguably casts a little doubt on the conclusion by suggesting that analysts' training may not make much of a difference in the number of errors in their work because the errors are due to faulty data rather than analysts' mistakes.
At the same time, there are reasons to eliminate this choice and choose (B) instead.
The strongest one is that, even if "most" errors are not due to analysts' mistakes, it remains the case that only 8 only eight percent of analysts whose work resulted in serious reporting errors completed training programs. So, it still appears that the programs make a difference.
Also, it could be that the creator of this question meant for us to make a distinction between the errors mentioned by this choice, which are due to faulty data, and the errors mentioned by the passage, which are due to analysts' work. So, this choice may be about a different kind of errors and thus not be relevant, though it's not 100 percent clear whether we are meant to make that distinction.
Finally, unlike this choice, (B) unquestionably weakens the argument. So, it's the best choice.
Eliminate.
E. In terms of workload and average number of reports produced annually, data analysts who have completed a training program do not differ from those who have not.
The conclusion is that the programs are effective in "teaching sound data-analysis practices," not in increasing productivity.
So, this choice has no effect on the case for the conclusion.
Eliminate.
Correct answer: B
Conclusion:
the programs are purportedly effective in teaching sound data-analysis practices
Supporting premise:
Whereas approximately one-third of employed data analysts have completed such a program, only eight percent of analysts whose work resulted in serious reporting errors have done so.
We see that the reasoning presented is basically the following: One-third of data analysts have completed a training program, but only eight percent of analysts whose work has resulted in serious reporting errors have done so. So, the disproportionately low representation of analysts who have completed a training program among those whose work has resulted in serious errors indicates that the programs are effective.
Which of the following, if true, most seriously weakens the conclusion drawn from the data above?
The correct answer to this Weaken question will show that, though the data is accurate, the conclusion may not be.
A. Employers generally offer higher salaries to data analysts who have completed a formal data-analysis training program.
If anything, the fact that employers are willing to offer higher salaries to analysts who have completed a training program indicates that employers, at least, believe the programs to be effective.
So, if anything this choice is in line with, rather than weakens the case for, the conclusion.
Eliminate.
B. Newly hired data analysts who are most likely to complete a training program are those who already have several years of experience working with data in related roles.
This choice weakens the argument by suggesting a possible alternate reason why a low percentage of serious errors result from the work of analysts who have completed a training program.
After all, if those analysts most likely to complete a training program are those who already have several years of experience working with data, then it could be that what's going on is that analysts who complete a program make fewer errors because of experience, not because the programs are effective.
Keep.
C. Although formal data-analysis training programs are offered by a number of different organizations, they are generally similar in both content and instructional approach.
The fact that the programs are similar doesn't mean they aren't effective.
This choice has no effect on the strength of the argument.
Eliminate.
D. Most serious reporting errors result from faulty data supplied to analysts rather than from mistakes made by the analysts themselves.
This choice arguably casts a little doubt on the conclusion by suggesting that analysts' training may not make much of a difference in the number of errors in their work because the errors are due to faulty data rather than analysts' mistakes.
At the same time, there are reasons to eliminate this choice and choose (B) instead.
The strongest one is that, even if "most" errors are not due to analysts' mistakes, it remains the case that only 8 only eight percent of analysts whose work resulted in serious reporting errors completed training programs. So, it still appears that the programs make a difference.
Also, it could be that the creator of this question meant for us to make a distinction between the errors mentioned by this choice, which are due to faulty data, and the errors mentioned by the passage, which are due to analysts' work. So, this choice may be about a different kind of errors and thus not be relevant, though it's not 100 percent clear whether we are meant to make that distinction.
Finally, unlike this choice, (B) unquestionably weakens the argument. So, it's the best choice.
Eliminate.
E. In terms of workload and average number of reports produced annually, data analysts who have completed a training program do not differ from those who have not.
The conclusion is that the programs are effective in "teaching sound data-analysis practices," not in increasing productivity.
So, this choice has no effect on the case for the conclusion.
Eliminate.
Correct answer: B
