A recent study of 100 employees from six departments of a major corporation found 65% to be sleep deprived. The researchers concluded that the majority of corporate employees are sleep deprived.
The researcher’s conclusion is suspect because it
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relies on a small sample size. In order to make sweeping conclusions about an entire population, it is generally preferred to have a larger and more representative sample.
To understand the suspect nature of the researcher's conclusion, it's helpful to interpret the numbers provided. In this study, 65 out of 100 employees were found to be sleep deprived. While this may seem like a significant percentage, it's important to consider the context. The study only included 100 employees, which is relatively small compared to the total number of employees in the major corporation.
To get a more accurate representation of the entire employee population, it would be necessary to include a larger and more diverse sample. Ideally, the sample should be randomly selected to ensure that it is representative of the entire employee population in terms of demographics and work responsibilities.
By increasing the sample size, the researcher would have a better chance of obtaining a more reliable estimate of the proportion of sleep-deprived employees in the entire corporation. This would help to reduce any bias or potential outliers that might be present in a smaller sample.