True or false on sampling distribution
The sampling distribution of x is always taller and skinnier than the population. What is true.
True
The sampling distribution of x tells us the possible values for x together with how often each occurs.
True
The shape of the histogram of data in a sample gets closer and closer to the shape of the population as sample size increases.
True
The shape of the sampling distribution of x gets closer and closer to Normal as the sample size increases when the population is non-normal.
True
The shape of the sampling distribution of x is always Normal when the population shape is Normal.
True
The standard deviation of the sampling distribution of x gets smaller and smaller as n increases.
True
We measure the variability of the sampling distribution of x with sigma / (square root)n .
True
x is the value of the mean of the sampling distribution of x .
What is False—the mean of the sampling distribution of x equals miu
The mean of the sampling distribution of x gets closer and closer to as the sample size increases.
What is false—The mean of the sampling distribution of x exactly equals miu
The sampling distribution of x tells us all possible values we could get in our sample of size n.
What is false—The sampling distribution of x tells us possible values we could get for the sample mean. That's because the sampling distribution gives all possible values for x together with their frequencies (or probabilities).
The shape of the sampling distribution of x gets closer and closer to the shape of the population as sample size increases.
What is false—The shape of the sampling distribution of x gets closer and closer to Normal.
The shape of the sampling distribution of x gets closer and closer to Normal as the sample size increases when the population is normal.
What is false—The shape of the sampling distribution of x is Normal regardless of sample size if the population is Normal.
The standard deviation of the population is less than the standard deviation of the sampling distribution of x .
What is false—The standard deviation of the population is greater than the standard deviation of the sampling distribution of x .
The standard deviation of the sampling distribution of x gets closer and closer to *sigma( as n increases.
What is false—The standard deviation of the sampling distribution of x equals sigma /(squared root)n .
The standard deviation of the sampling distribution of x gets closer and closer to sigma / (square root) n as n increases.
What is false—The standard deviation of the sampling distribution of x is equal to n regardless of sample size.