Explain the four different types of sampling and give an example of each.

What is the shape of the sampling distribution?

A coach is interested in how many slam dunks the average college freshman at his university can do. Ten volunteers from the senior class step forward. After observing their performance, the coach concluded that college seniors can do an average of 10 slam dunks in a row without missing. what is the sample? what is the population?

Let's examine the mean of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 by drawing samples from these values, calculating the mean of each sample, and then considering the sampling distribution of the mean. To do this, suppose you perform an experiment in which you roll an eight-sided die two times (or equivalently, roll two eight-sided dice one time) and calculate the mean of your sample. Remember that your population is the numbers 1, 2, 3, 4, 5, 6, 7, and 8. The true mean (µ) of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 is , and the true standard deviation (o) is The number of possible different samples (each of size n = 2) is the number of possibilities on the first roll (8) times the number of possibilities on the second roll (also 8), or 8(8) = 64. If you collected all of these possible samples, the mean of your sampling distribution of means (µM) would equal and the standard deviation of your sampling distribution of means (that is, the standard error or ɑm) would be The following chart…

You randomly selected one sample of 40 citizens of your city to see if they wanted to increase taxes for education but you decided that you would do half younger people and half older people. Explain your answers. Is this random sampling?   Is this simple random sampling?

Please answer everything asap

A Statistics Canada researcher selects (at random) 10 apartments in one apartment building. The researcher then interviews all the residents in each of the 10 apartments selected. Which type of sampling did this researcher use?

Explain in detail RANDOM ASSIGNMENT OF SUBJECTS.

Discuss the four different sampling methods, and for each method, explain why we might use it.