For a sample size 16, the samplingdistribution of the mean will be approximately normally distributed:
A. regardless of the shape of the population
B. if the shape of the population is symmetrical
C. if the sample standard deviation is known
D. if the sample is normally distributed
1.Which of the following statements about the sampling distribution of the sample mean is incorrect?
a. The sampling distribution of the sample mean is approximately normal whenever the sample size is sufficiently large (n>30).
b. The samplingdistribution of the samplemean is generated by repeatedly taking samples of size n
I assume my scenario will have to include enough information to answer the questions below so I will need help with this one as well
Create and write your own scenario about a specific population. Then, answer the following questions about your scenario:
What are the mean, standard deviation, and shape of the population d
View the "SamplingDistribution of the Mean" within a Multimedia Presentation.
1. The mean of the samplingdistribution is equal to
a. the population standard deviation
b. the samplemean
c. the sample standard deviation
d. the population mean
e. none of the above
2. The standard error of t
1) The distribution of samplemean for samples of 500 homes is normal with a mean of 2.64 and a standard deviation of 0.06. Suppose you select a random sample of n=500 homes and determine that the mean number of people per home for this sample id 2.55. How many standard deviations is the samplemean of the samplingdistribution?
What is the samplingdistribution of samplemeans?
What is the mean of the samplingdistribution of samplemeans?
What is its standard deviation?
How is that standard deviation affected by the sample size?
What does the central limit theorem state about that distribution?