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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Answer:
1
Explanation:
This is just like a linear equation, since it is a positive number the units are increasing by 1 unit. If we were to plug this into a graph we can see that 2 is the y-intercept which means with 2 tea bags you have 0 cups and for every additional cup of tea you need another teabag, meaning the increase, or slope of the equation so the answer is 1.
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The correct answer is 100% Analyze.
Assess - Analyze
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Answer:
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