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What effect does non-random sample have on what you can say about the results of a study?
It means that the results of the study cannot be claimed to hold for the entire population from which the sample was drawn. The researchers can only claim that their results hold for the individuals selected into their sample.
Why was it important to Mendel to study such a large sample of pea plants to determine the probability of inheritance?
Answer D- A higher sample size gives more accurate results- APEX LEARNING
What is the 'sample' in and experiment?
A group selected from a population for observation in a study. That definition comes directly from the glossary in my research in education textbook. In other words, I think you want to define the people in the study.
What are the preliminary steps in statistical study?
The preliminary step is to research the issue and form your hypothesis. Then, you need to find your sample group.
Does the size of a sample affect the values of the frequency table?
Yes. If the sample is a random drawing from the population, then as the size increases, the relative frequency of each interval from the sample should be a better estimate of the relative frequency in the population. Now, in practical terms, increasing a small sample will have a larger effect than increasing a large sample. For example, increasing a sample from 10 to 100 will have a larger effect than increasing a sample from 1000 to 10,000. The one exception to this, that I can think of, is if the focus of the study is on a very rare occurrence.
