Answer:
<u>Random Sample</u>
Explanation:
The Random Sample is a method that consists of randomly selecting a portion (a sample) from a population that is being studied, in order to collect specific data from that population. Such a representative sample is meant to be unbiased because all individuals have the same opportunity of being chosen (they are chosen by chance). Therefore, when, starting at a random point, researchers contact every hundredth person on the voter list to ask about candidate facial expressions, they are using the Random Sample technique.
Sample is a small set of number (n) represent whole population (N). Mean is the average of sample population (∑n/N). For Standard deviation subtract each number from mean and square it. Then find out the mean of squared differences and take square root of it.
<u>Explanation:</u>
Sample is the randomly chosen small set of number represented by n and it represents whole population (N). Sample mean is the average (n) observation from mean. Standard deviation is used to measure the deviation of data from the mean of the sample.
Sampling distribution provides a mean of statistical inference. Sample size should be large enough to represent the whole. It will be more statistically significant if it is large in size. Standard deviation is the dispersion or deviation of data set relative to its mean.
Answer:
fdgtftf hgjhjhkj hguytuytuyg
Explanation:
Education how we are though everyday is a great understanding because its free
The answer is B because he created a constitution with his advisors.
