A sample size is a group which is sampled in surveys, statistics, and in the scientific method. Increasing a sample size might decrease or increase the margin of error, depending on what was being measured. For instance, a sample of 100 women who were pregnant, might increase or decrease the the margin of error for women who showed morning sickness while pregnant.
No. Only a census can ACCURATELY predict the outcomes: a random sample cannot.
The sample must be large and random.
A parameter describes a population. A statistic describes a sample.
Increasing your sample size might help
No. They may be good approximations, though.
Yes. If the sample is a random drawing from the population, then as the size increases, the relative frequency of each interval from the sample should be a better estimate of the relative frequency in the population. Now, in practical terms, increasing a small sample will have a larger effect than increasing a large sample. For example, increasing a sample from 10 to 100 will have a larger effect than increasing a sample from 1000 to 10,000. The one exception to this, that I can think of, is if the focus of the study is on a very rare occurrence.
What two features must a sample have to accurately represent a population?
The margin of error is reduced.
A sample that accurately reflects the characteristics of the population as a whole
No. Only a census can ACCURATELY predict the outcomes: a random sample cannot.
It stays the same. Temperature has no effect on the rate of nuclear decay.
It should reduce the sample error.
The sample must be large and random.
Representative Sample.
sample of a Promissory Note and describe its features. Also describe its usage and the involvement of the parties concerned
it has no effect. density of a substance is the same no matter the size or shape of the sample.
A parameter describes a population. A statistic describes a sample.