0
What else can I help you with?
How do you calculate the mean of the sampling distribution of the sample proportion?
i dont no the answer
The distribution of sample means consists of?
A set of probabilities over the sampling distribution of the mean.
Why you need sampling distribution?
in order to calculate the mean of the sample's mean and also to calculate the standard deviation of the sample's
When population distribution is right skewed is the sampling also with right skewed distribution?
If the population distribution is roughly normal, the sampling distribution should also show a roughly normal distribution regardless of whether it is a large or small sample size. If a population distribution shows skew (in this case skewed right), the Central Limit Theorem states that if the sample size is large enough, the sampling distribution should show little skew and should be roughly normal. However, if the sampling distribution is too small, the sampling distribution will likely also show skew and will not be normal. Although it is difficult to say for sure "how big must a sample size be to eliminate any population skew", the 15/40 rule gives a good idea of whether a sample size is big enough. If the population is skewed and you have fewer that 15 samples, you will likely also have a skewed sampling distribution. If the population is skewed and you have more that 40 samples, your sampling distribution will likely be roughly normal.
What is the difference between a sample and sampling?
sample is a noun and sampling is TO sample(verb)
A sample of 24 observations is taken from a population that has 150 elements The sampling distribution of the mean is?
A sample of 24 observations is taken from a population that has 150 elements. The sampling distribution of is
Is the standard deviation of the sampling distribution of the sample mean is o?
NO
How do you calculate the mean of the sampling distribution of the sample proportion?
i dont no the answer
The distribution of sample means consists of?
A set of probabilities over the sampling distribution of the mean.
What is the difference between a population distribution and sampling distribution?
Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.
What will be the sampling distribution of the mean for a sample size of one?
It will be the same as the distribution of the random variable itself.
When the population standard deviation is not known the sampling distribution is a?
If the samples are drawn frm a normal population, when the population standard deviation is unknown and estimated by the sample standard deviation, the sampling distribution of the sample means follow a t-distribution.
What is the difference between population distribution and sample distribution an d sampling distribution?
you can figure it out by going to google and googling it
As the sample size increases the standard deviation of the sampling distribution increases?
No.
What happens to the sampling error when the sample size is increased?
It is reduced.
How does sampling distribution work in statistics?
Sampling distribution in statistics works by providing the probability distribution of a statistic based on a random sample. An example of this is figuring out the probability of running out of water on a camping trip.
Why you need sampling distribution?
in order to calculate the mean of the sample's mean and also to calculate the standard deviation of the sample's
