0
One is a small sample size, but that's just my answer, you might want to ask more people.
Wiki User
∙ 11y ago
Add your answer:
Earn +20 pts
Where the standard deviation is not applicable?
When the sample size is small
Will a large sample size and a small sample variance produce the largest value for the estimated standard error?
no
Why is having a larger sample size be a better idea than having a small sample size when doing a experiment?
1. Better chance of uniform sample. 2. Material for confirmations if needed.
What is absolute sample size?
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
What is the difference between sample and sample size?
a sample is a sample sized piece given... a sample size is the amount given in one sample
How might choosing a small sample size affect a scientific investigation?
Statistically the results will not be scientifically valid if the sample size is too small.
What property like volume depends of the size of the sample?
The volume and the mass of sample both depend on the size of the sample.A small sample has small volume and small mass, a big sample has big volumeand big mass. But the ratio of mass to volume is constant for a pure sample ofa substance, no matter what size the sample is. That ratio is called the densityof the substance.
Where the standard deviation is not applicable?
When the sample size is small
Will a large sample size and a small sample variance produce the largest value for the estimated standard error?
no
What does the Central Limit Theorem say about the traditional sample size that separates a large sample size from a small sample size?
The Central Limit Theorem states that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger — no matter what the shape of the population distribution. This fact holds especially true for sample sizes over 30.
Why is having a larger sample size be a better idea than having a small sample size when doing a experiment?
1. Better chance of uniform sample. 2. Material for confirmations if needed.
Which of the following samples will produce the largest value for the estimated standard error?
A small sample size and a large sample variance.
What is absolute sample size?
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
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 is the difference between sample and sample size?
a sample is a sample sized piece given... a sample size is the amount given in one sample
How To get valid results small samples are sufficient?
I will assume the sample is random. In general, the larger the sample, the smaller the percentage error will be (the difference between percentages in the sample, and the percentages in the universe from whence the sample is taken). The percentage error tends to go down as the square root of the size of the sample.
What does it means if the standard deviation is large?
that you have a large variance in the population and/or your sample size is too small
