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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.
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Will Random sample always accurately predict the outcomes of an entire population?
No. Only a census can ACCURATELY predict the outcomes: a random sample cannot.
What two features must a sample have if its to accurately represent a population?
The sample must be large and random.
Does a parameter describe a population or a sample?
A parameter describes a population. A statistic describes a sample.
What can help to increase study precision?
Increasing your sample size might help
As the sample size increases the effect of an extreme value on the sample mean becomes smaller.?
yes
Does the size of a sample affect the values of the frequency table?
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.
How does Increasing the sample size while keeping the same confidence level has what effect on the margin of error?
The margin of error is reduced.
What is a representative sample?
A sample that accurately reflects the characteristics of the population as a whole
Will Random sample always accurately predict the outcomes of an entire population?
No. Only a census can ACCURATELY predict the outcomes: a random sample cannot.
How does increasing the sample size affect the sample error of the mean?
It should reduce the sample error.
How did the effect of freezing the sample differ from the effect of boiling?
Freezing the sample causes the molecules to slow down and come closer together, often leading to a decrease in volume and possibly forming a solid. Boiling the sample provides energy to the molecules, causing them to separate from each other and enter a gaseous state, thereby increasing the volume.
What two features must a sample have if its to accurately represent a population?
The sample must be large and random.
What effect would it have on the chromatogram with a broad sample?
A broad sample would result in peak broadening on the chromatogram. This can be caused by factors such as sample dispersion, slow diffusion rates, or poor column efficiency. Broad peaks can lead to decreased resolution and difficulty in accurately determining peak parameters.
What term is used in forensics to describe a sample of unknown origin?
The term used in forensics to describe a sample of unknown origin is "questioned sample."
What is the term for a small group that accurately reflects a large population?
The term is "representative sample." It is a subset of a population that accurately reflects the characteristics of the whole population it is meant to represent.
How can one accurately measure hydrogen in a given sample?
One can accurately measure hydrogen in a given sample using techniques such as gas chromatography, mass spectrometry, or titration. These methods involve separating and quantifying the amount of hydrogen present in the sample.
How can one accurately measure protein concentration in a sample?
One can accurately measure protein concentration in a sample using methods such as spectrophotometry, Bradford assay, or BCA assay. These methods involve measuring the absorbance of light by the proteins in the sample and comparing it to a standard curve to determine the concentration.
