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A concept in probability theory which considers all possible outcomes of an experiment, game, and so on, as points in a space.
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∙ 13y ago
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When you draw a sample from a normal distribution what can you conclude about the sample distribution?
The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.
What is not dependent on the size of a sample?
In general the mean of a truly random sample is not dependent on the size of a sample. By inference, then, so is the variance and the standard deviation.
When Rolling a die 5 times and noting whether it is odd or even on each roll what is the size of sample space?
It all depends on what you do with the information that you note. If you count up the number of odds [or evens] in the five rolls, your sample space is {0,1,2,3,4,5} with size 6. If you look for whether you had more odds than evens your sample space is {Y,N}, with size 2. If you subtract the number of even outcomes from the number of odd outcomes, your sample space is {-5,-4,,...,4,5} which is of size 11.
What is the size sample for all the outcomes possible for rolling three dice?
Assuming traditional cubic dice, the sample space consists of 216 points.
A coin is flipped 3 times. What is the probability of getting 3 tails in a row?
A random sample of size 36 is taken from a normal population with a known variance If the mean of the sample is 42.6. Find the left confidence limit for the population mean.
How do you find the sample size when given the standard deviation and the mean with a sample value?
You cannot from the information provided.
What happens to the sample mean as the sample size increases?
With a good sample, the sample mean gets closer to the population mean.
What is the size of the sample for all the outcomes possible from rolling 6 dice?
The sample space for 1 roll is of size 6.
What the size of the sample space for rolling a fair die?
When a fair die is rolled, there are 6 possible outcomes {1,2,3,4,5,6}. The sample space consists of 6 points, so its size is 6.
What is the sizzle of a sample space for all the outcomes possible from the rolling 6 dice?
Not sure about the relevance of sizzle! The size of the sample space is 46656.
When you draw a sample from a normal distribution what can you conclude about the sample distribution?
The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.
As the sample size increase the difference between the sample mean and the population mean approaches what?
Zero
How does increasing the sample size affect the sample error of the mean?
It should reduce the sample error.
What is not dependent on the size of a sample?
In general the mean of a truly random sample is not dependent on the size of a sample. By inference, then, so is the variance and the standard deviation.
When Rolling a die 5 times and noting whether it is odd or even on each roll what is the size of sample space?
It all depends on what you do with the information that you note. If you count up the number of odds [or evens] in the five rolls, your sample space is {0,1,2,3,4,5} with size 6. If you look for whether you had more odds than evens your sample space is {Y,N}, with size 2. If you subtract the number of even outcomes from the number of odd outcomes, your sample space is {-5,-4,,...,4,5} which is of size 11.
Is N the sample or population mean?
N is neither the sample or population mean. The letter N represents the population size while the small case letter n represents sample size. The symbol of sample mean is x̄ ,while the symbol for population mean is µ.
What biased estimator will have a reduced bias based on an increased sample size?
The standard deviation. There are many, and it's easy to construct one. The mean of a sample from a normal population is an unbiased estimator of the population mean. Let me call the sample mean xbar. If the sample size is n then n * xbar / ( n + 1 ) is a biased estimator of the mean with the property that its bias becomes smaller as the sample size rises.
