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What is the sample variance with the mean of 190.3?
The mean, by itself, does not provide sufficient information to make any assessment of the sample variance.
Does the sample size have an effect on the standard deviation of all possible sample means?
Yes, the sample size does affect the standard deviation of all possible sample means, known as the standard error of the mean. As the sample size increases, the standard error decreases, meaning that the sample means tend to cluster more closely around the population mean. This reduction in variability occurs because larger samples provide more information, leading to more accurate estimates of the population mean.
What is the probability that a sample of 120 female graduates will provide a sample mean more than .30 below the population mean?
To determine the probability that a sample mean from 120 female graduates is more than 0.30 below the population mean, you would need information about the population standard deviation or the standard error of the sample mean. Assuming a normal distribution, you can use the Central Limit Theorem to find the standard error by dividing the population standard deviation by the square root of the sample size (120). Then, you can calculate the z-score corresponding to a sample mean that is 0.30 below the population mean and use a standard normal distribution table or calculator to find the probability associated with that z-score.
Advantages and disadvantages of using arithmetic mean?
"The advantage is that the mean takes every value into account. A disadvantage is that it can be affected by extreme values. " The mean or more properly the "arithmetic mean" of a sample will eventually approximate the mean of the distribution of the population as the sample size increases. If the population distribution is skewed (not symmetrical), the mode and median will not provide an estimate of the mean, even as the sample size becomes large.
Why wont a sample statistics change from sample to sample?
The sample mean may differ from the population mean, especially for small samples.
What is the sample variance with the mean of 190.3?
The mean, by itself, does not provide sufficient information to make any assessment of the sample variance.
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.
Does the sample size have an effect on the standard deviation of all possible sample means?
Yes, the sample size does affect the standard deviation of all possible sample means, known as the standard error of the mean. As the sample size increases, the standard error decreases, meaning that the sample means tend to cluster more closely around the population mean. This reduction in variability occurs because larger samples provide more information, leading to more accurate estimates of the population mean.
The purpose of statistical inference is to provide information about the?
The purpose of statistical inference is to obtain information about a population form information contained in a sample.
Does each sample have measurable mass?
Yes, each sample has a measurable mass, which can be determined using a balance or scale. The mass is an important property that can provide information about the quantity of material present in the sample.
sample tests for CNA,both knowledge and skill?
mo-media.com/cna can provide this information to you.
What is the probability that a sample of 120 female graduates will provide a sample mean more than .30 below the population mean?
To determine the probability that a sample mean from 120 female graduates is more than 0.30 below the population mean, you would need information about the population standard deviation or the standard error of the sample mean. Assuming a normal distribution, you can use the Central Limit Theorem to find the standard error by dividing the population standard deviation by the square root of the sample size (120). Then, you can calculate the z-score corresponding to a sample mean that is 0.30 below the population mean and use a standard normal distribution table or calculator to find the probability associated with that z-score.
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 fees for 9?
The answer depends on what you mean by 9. And since you have not bothered to provide that crucial bit of information, I cannot provide a more useful answer.The answer depends on what you mean by 9. And since you have not bothered to provide that crucial bit of information, I cannot provide a more useful answer. The answer depends on what you mean by 9. And since you have not bothered to provide that crucial bit of information, I cannot provide a more useful answer. The answer depends on what you mean by 9. And since you have not bothered to provide that crucial bit of information, I cannot provide a more useful answer.
What information can be obtained about one's ancestry from a saliva sample?
A saliva sample can provide information about a person's ancestry by analyzing their DNA. This can reveal details about their ethnic background, genetic traits, and potential connections to specific populations or regions around the world.
Advantages and disadvantages of using arithmetic mean?
"The advantage is that the mean takes every value into account. A disadvantage is that it can be affected by extreme values. " The mean or more properly the "arithmetic mean" of a sample will eventually approximate the mean of the distribution of the population as the sample size increases. If the population distribution is skewed (not symmetrical), the mode and median will not provide an estimate of the mean, even as the sample size becomes large.
How is the process of determining percentiles different if you were given a sample mean rather than individual raw score?
It is impossible to determine the percentiles if you are given only the sample mean since percentiles are a measure of the spread of the data; the mean gives no information on that.
