the idea of a sampling distribution and the effect of the sample size, n. how it is possible for the individual data to have just two discrete values—0 for the blue candidate or 1 for the red candidate—yet the sample mean is a continuous random variable.
Sample mean is a continuous random variable, because it can take continuous values.
For example, consider the case in your question.
If sample size is n and the probability of red is p, then the sample mean is n*p.
Now, since p lies in [0,1], n*p is any value between 0 and n, depending on the value of p.
Hence, the sample mean is a continuous random variable.
the idea of a sampling distribution and the effect of the sample size, n. how it...
Consider a sampling distribution with p=0.09 and samples of size n each. Using the appropriate formulas, find the mean and the standard deviation of the sampling distribution of the sample proportion. a. For a random sample of size n=4000. b. For a random sample of size n=1000. c. For a random sample of size n=250.
23. What is the effect of choosing a larger sample size for the sampling distribution? a mean increases, standard deviation unchanged b) mean decreases, standard c) mean unchanged, standard deviation increases d) mean unchanged, standard deviation decreases e) no effect
Consider a sampling distribution with p=0.09 and samples of size n each. using the appropriate formulas, find the mean and the standard deviation of the sampling distribution of the sample proportion of the following parts: A)for random sample of size n=5000 B)for random sample of size n=1000 C)for random sample of size n=500
I need help with these sampling charts
Your Turn (Continued) Sampling Distribution (n = 50) Sampling Dotplot of Proportion Len Tail Two-Tall Right Tall Sangles - 120 0.591 std error -0.068 40 30 20 10 0 0.40 0.45 0.50 0.55 0.65 0.70 0.75 0.80 In the simulation, when we are building a sampling distribution, what does each dot represent in the graph? A random sample of 50 college students - The population proportion of female college students at is 60%,...
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 58 bank accounts, we want to take a random sample of four accounts in order to learn about the population. How many different random samples of four accounts are possible?
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 60 bank accounts, we want to take a random sample of nine accounts in order to learn about the population. How many different random samples of nine accounts are possible?
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 60 bank accounts, we want to take a random sample of six accounts in order to learn about the population. How many different random samples of six accounts are possible?
The distribution of heights of adult males has a mean of 69 inches and a standard deviation of 4 inches. A random sample of 36 adult males is selected. Describe the sampling distribution. a. Since the sample size is greater than 30, the sampling distribution is approximately normal with a sample mean of 69 inches and a sample standard deviation of 9 inches. b. Since the sample size is greater than 30, the sampling distribution is approximately normal with a...
Question 1 1 pts The sampling distribution of the sample mean refers to d the distribution of the different possible values of the sample mean O the distribution of the various sample sizes O the distribution of the values of the objects/individuals in the population O the distribution of the data values in a given sample O none of the listed Question 2 1 pts The Central Limit Theorem states that O if the sample size is large, then the...
A random sample of size n is selected from a population that has a proportion of success equal to 0.23. What effect will increasing the sample size by 4 times as much have on the mean and standard deviation of the sampling distribution for the given sample proportion?