“Drawing chits from a bowl” is an example of __________. a. Stratified sampling b. None of the options

Advanced Math

Complete parts (a) through (d) for the sampling distribution of the sample mean shown in the accompanying graph. Click the icon to view the graph. (a) What is the value of u;? The value of u; is 600. (b) What is the value of o;? The value of o; is 30. (c) If the sample size is n= 9, what is likely true about the shape of the population? O A. The shape of the population is skewed left. O B. The shape of the population is skewed right. C. The shape of the population is approximately normal. O D. The shape of the population cannot be determined. (d) If the sample size is n= 9, what is the standard deviation of the population from which the sample was drawn? The standard deviation of the population from which the sample was drawn is

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…