The option that is an accurate statement about Sample Size is; A: A larger sample size is needed for increased accuracy.
<h3>What is true about Sample Size?</h3>
Sample size determination is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.
Now, the smaller the sample size, the lesser the accuracy as you have possibility of biased research from just a handful of people. However, the larger the sample, the greater the degree of accuracy of the research.
Thus, we can say that the option that is an accurate statement about Sample Size is; A: A larger sample size is needed for increased accuracy.
Complete question is;
Which of the following is an accurate statement about sample size?
Select one:
a. A larger sample size is needed for increased accuracy.
b. A smaller sample size will reduce the size of the confidence interval.
c. Sample size is a constant percentage of the population size.
d. Sample size is independent of the confidence interval.
Read more about Sample Size at; brainly.com/question/7757135
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I think the answer here is D. A seems wrong because it involves your opinion as a writer which should not be involved in a description. B is wrong because you should always assume that the reader knows nothing about the subject when writing a description. C is wrong because all steps should be outlined in a description. Finally, D is correct because a description should be detailed and easy to follow. Hope that helps!
Answer:
Heat is the measure of how hot or cold something, more formally known as the amount of thermal energy flowing from one substance to another. Temperature is the measure of the average kinetic energy of the particles of a substance.
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