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In a scientific study, the degree to which our findings can be applied to the larger population from which our study sample is drawn is the extent of its what?

Respuesta :

The answer is;  the sample  size

The sample size also determines the confidence level of the statistics. The higher the sample size, the higher confidence levels at which the sample will accurately represent the larger population being tested.  


In a scientific study, the degree to which our findings can be applied to the larger population from which our study sample is drawn is the extent of its random sample

Further explanation

Scientific study is techniques body to investigating the phenomena that based on empirical or measurable evidence which is subjected to the principles of logic and reasoning. Scientific study relates with population, sample and validity.

Population is any set of people or events from which the sample is selected and to which the study results will generalize.

Sample is a group of people or events drawn from a population. A research study is carried out on a sample from a population. There are two types od samples: non-random and random samples.

A non-random sample reduces the external validity of the study. Non-random sample that is not representative of a larger population and will not generalize. Although, a study with a non-random sample still identifies true facts about the sample and perhaps those findings will be true for others as well.

The second is random sample. To have a generalizable sample, first define your population, then randomly select a large sample. With a random sample of sufficient size, research findings can generalize to the larger population.

Learn more

  1. Learn more about random sample https://brainly.com/question/5617799
  2. Learn more about scientific study https://brainly.com/question/3209157
  3. Learn more about Populations https://brainly.com/question/3477938

Answer details

Grade:  9

Subject:  biology

Chapter:  Populations, Samples, and Validity

Keywords: random sample, Populations, Samples, Validity, researcher