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What is the difference between Population and sample?
Population and SamplePopulation is the area in which you are trying to get information from. Sample is a section of your population that you are actually going to survey. It is important to have a sample that will represent your entire population in order to minimize biases. For example: You want in know how American citizens feel about the war in Iraq. Your population: The United States Your sample: 500 citizens selected randomly from each state.Since the answers all over the US would greatly vary, it is important to have everyone in the population represented in your sample. This is usually done through random sampling, which assumes no biases seeing as the subjects were selected at random.
What happens to the sample size if you increase the standard deviation?
The statistics of the population aren't supposed to depend on the sample size. If they do, that just means that at least one of the samples doesn't accurately represent the population. Maybe both.
What is a experimental sample?
An experimental sample is an experiment that is just a sample of what you are looking for.
Difference between mean and expected value?
For a population the mean and the expected value are just two names for the same thing. For a sample the mean is the same as the average and no expected value exists.
Short notes with examples to explain you discriptive statistics ii inferential statistics?
Descriptive statistics give information regarding a data set. For example, any graph, the mean, median, and mode, standard deviation, range, and variance are all descriptive statistics. Inferential statistics is using a representative sample from a population to say something about that population. For example, for presidential polls, not everyone in the country is called and asked who they plan to vote for. Whoever does the surveying picks a sample that should fairly represent the population as a whole, and just asks those people. Depending on the sample size, the surveyor can then determine how accurate the results are, and use them to generalize to the population as a whole.
