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Zorluk: ZorSampling and Survey Flaws

Consider the following argument:

'An independent consumer advocacy group sought to determine the reliability of the newly released Zephyr X-series washing machines. They mailed satisfaction questionnaires to 10,000 people who had purchased a Zephyr X-series machine within the last six months. Of the 1,500 people who returned the questionnaire, nearly 90 percent reported experiencing at least one major mechanical failure. Based on this data, the group concluded that the Zephyr X-series is highly unreliable.'

The primary logical flaw in this argument is that it draws a broad conclusion from a sample size (1,500 respondents) that is statistically too small to represent the experiences of all purchasers.

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False
The statement is false because it misidentifies the methodological flaw. The argument's weakness is not the size of the sample, but its unrepresentative nature. People who experience mechanical failures are disproportionately more motivated to return a satisfaction questionnaire than those whose machines function perfectly. This creates a voluntary response bias. A sample of 1,500 is statistically large enough to form a generalization if the sample is randomly selected and representative, so sample size is not the logical flaw here.

Adım Adım Çözüm

1
Analyze the argument's premise and conclusion.
Premise: 90% of the 1,500 returned surveys reported a major failure. Conclusion: The washing machines are highly unreliable.
Identifying the core argument structure is necessary to evaluate its logical validity.
2
Examine the data collection methodology.
Questionnaires were mailed to 10,000 people, and 1,500 independently chose to return them.
Understanding how the sample was gathered reveals potential methodological biases.
3
Evaluate the statement's claim about the logical flaw.
The statement claims the primary flaw is a sample size that is statistically too small.
To determine if the provided statement correctly identifies the methodological error in the text.
4
Compare the claim against logical principles of sampling.
A sample size of 1,500 is mathematically large enough for statistical significance. The actual flaw is self-selection bias, as angry customers are highly motivated to respond.
To reach the final evaluation that the statement misidentifies the true sampling flaw.

Anahtar Kavram

Distinguishing between inadequate sample size and unrepresentative sample bias (voluntary response bias).
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