Answer:
Step-by-step explanation:
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Answer: Population and sample
Step-by-step explanation:
A population is the complete collection of all measurements or data collected, whereas, a sample is a subcollection of members selected from the complete collection
Answer:
The mean birth weight for the sampling distribution is
3,500 grams.
Step-by-step explanation:
The sample mean is the average of the sample values collected divided by the number of the samples, while the population mean is the average or mean of all the values in the population. If the sample is random and the sample size is large enough, then the sample mean would be a good estimator of the population mean. This implies that with a randomly distributed and unbiased sample size, the sample mean and population mean will be equal, according to the central limit theorem. Therefore, the mean of the sample means will always approximate the population mean.
The graph of g(x) = f(x) + 5 will have the graph of f(x) moved 5 units upward. The best choice is the last one.
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Adding 5 to each y-value (the output of f(x)) moves it upward by 5 units.