what information about the sample of a mean not provide
The mean, by itself, does not provide sufficient information to make any assessment of the sample variance.
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.
"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.
The sample mean may differ from the population mean, especially for small samples.
As the sample size increases, the standard deviation of the sample mean, also known as the standard error, tends to decrease. This is because larger samples provide more accurate estimates of the population mean, leading to less variability in sample means. However, the standard deviation of the population itself remains unchanged regardless of sample size. Ultimately, a larger sample size results in more reliable statistical inferences.
The mean, by itself, does not provide sufficient information to make any assessment of the sample variance.
You cannot from the information provided.
The purpose of statistical inference is to obtain information about a population form information contained in a sample.
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.
mo-media.com/cna can provide this information to you.
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.
With a good sample, the sample mean gets closer to the population mean.
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.
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.
"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.
It most likely means you need to provide a roleplay sample.
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.