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.
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Answer:
A. the criteria used to compare laptop performance
Answer:
buy some chicken and mac and cheese green beans and corn flour the chicken if you don't have a fryer buy one and season the green beans with minced garlic adobo seasoning garlic salt and you can free style on the fried chicken but you have to put chicken buoillon
Answer:
P(A or B)=0.6425
Explanation:
To find P(A or B), plug your values for A and B into the equation:
P(A or B)= P(A) + P(B) - P(A and B)
The Ring of Fire is the border/outline of the Pacific Plate or B.
This is because many earthquakes and oceanic trenches are located.