Answer: sample size
Explanation: sample size simply means the number of observations or items chosen as a representation of a population. Sample size is an important terminology used in statistical analysis as most statistical or experimental research cannot be performed using all the available observations in the entire population either due to cost or total impossibility. The larger the sample size, the better the generalization made about the entire population.
Therefore, a sample size consisting of 10,000 participants or observations will generalize more and hence, attract greater value and interest than the same analysis with a sample size of 24 participants.
<span>The cerebrum has the capability of being able to carry out tasks with the use of the four lobes that is divided into it with specific actions. This is also responsible for sensory integration, planning and even memory in which is one way of explaining as to how an individual can figure out in explaining the answers of the question that the teacher gave him or her.</span>
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Answer:
Individual cases can be misleading and result in false generalizations.
Explanation:
One of the major limitation of case study research method is that individual cases cannot be generalized to a wider population and some cases are subjective, which can lead to false generalization. Other limitations are:
Case studies cannot be replicated,
There is a potential risk for researcher bias in case studies, in that the researcher's own beliefs can influence the way the data are collected and analysed,
Qualitative data depend to a large extent on people's perceptions and memory. The reliance on memory when reconstructing the case history could be subject to distortion.
