<21{1[1(13)13]}> 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
Is this sample representative of the whole corporation?
The suspect nature of the researcher's conclusion can be attributed to several factors:
1. Small Sample Size: The study was conducted on only 100 employees, which might not be representative of the entire corporation. With a small sample size, the conclusions drawn may not accurately reflect the entire population.
2. Specificity of Sample: The study was conducted within six departments of the corporation, which may not be indicative of the entire workforce. Other departments may have different sleep patterns, and therefore, the conclusion may not apply to the whole corporation.
3. Potential Bias: The study does not mention the specific criteria used to define sleep deprivation, making it difficult to ascertain if the measurements were accurate and unbiased. The possibility of personal biases of the researchers cannot be ruled out, which may affect the credibility of the conclusion.
4. Lack of Control Group: The study does not mention the presence of a control group or any comparison made between different groups of employees. Without a control group, it is difficult to determine the cause of sleep deprivation and its prevalence among corporate employees.
5. External Validity: The study does not provide information on whether it is applicable to employees in other corporations or industries. Therefore, the generalizability of the findings may be limited.
In conclusion, while the study suggests a majority of corporate employees being sleep deprived, the suspect nature of the researcher's conclusion arises from the small sample size, specificity of the sample, potential bias, lack of control group, and limited external validity. Further research with a larger and more diverse sample size is needed to draw more reliable conclusions.
relies on a sample size of only 100 employees. To properly evaluate the sleep deprivation of all corporate employees, a larger and more diverse sample should be used.
To determine the accuracy of the researcher's conclusion, it is important to understand the concept of a representative sample. A representative sample is a subset of a larger population that accurately reflects the characteristics of that population. In this case, the population would be all corporate employees.
For accurate conclusions, it is crucial to have a representative sample, as using a small or biased sample can lead to misleading results. In the given scenario, the sample size of 100 employees might not adequately represent the entire population of corporate employees in terms of demographics, work schedules, or other factors that could affect sleep patterns.
To get a more accurate understanding of the sleep deprivation among corporate employees, a larger and more diverse sample should be selected. A random sampling method can be employed to ensure that every employee has an equal chance of being included in the sample. This would help in minimizing any bias and increasing the generalizability of the findings.
By using a larger and more diverse sample, the researchers would have a better basis for drawing conclusions about the sleep deprivation rates among corporate employees.