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What is the difference between Sampling error and non sampling error?
In stats, a sampling error is simply one that comes from looking at a sample of the population in question and not the entire population. That is where the name comes from. But there are other kinds of stats errors. In contrast, non sampling error refers to ANY other kind of error that does NOT come from looking at the sample instead of the population. One example you may want to know about of a non sampling error is a systematic error. OR Sampling Error: There may be inaccuracy in the information collected during the sample survey, this inaccuracy may be termed as Sampling error. Sampling error = Frame error + Chance error + Response error.
What is strong correlation?
A very small effect having a greater side effect on a variable or an object may be termed as a strong correlation.
The variable not related to the purpose of th study but may affect the dependent variable are termed as extraneous variable true or false?
False: they are called exogenous.
What is a leaf diagram?
In statistics this is usually termed a stem-leaf plot. To see some I suggest going to image.google.com and querying for stem leaf plot.
What is required in a binomial distribution?
A number of trials, each of which has only two outcomes: these are usually termed "success" and "failure". The trials must be independent and the probability of success must remain constant.
