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How is data collected in statistics?
data can be collected many different ways, but a survey can be cunducted in a few different ways some of them are: simple random, stratified, block samples stratified simple random
Advantage of sampling?
The advantage of sampling in results is that it greatly simplifies results. If the sample is appropriately random, the results of the sampling will accurately represent the whole.
How do you overcome random error and systematic error?
Random error can be inherent to the system being studied or to the instruments being used to measure characteristics of the system. Sometimes it is possible to find or create measuring instruments that produce results with less random error; sometimes not. Statistical methods can often be employed to estimate actual values shorn of random error. If it not too expensive to obtain individual measurements then it's advisable to gather more measurements so that the statistical methods will produce better results. Systematic errors are often reduced by looking for their sources and eliminating them or by estimating the levels of distortion caused by each of them and correcting measurements accordingly.
What is meant by discrete random variable?
A discrete random variable is a variable that can only take some selected values. The values that it can take may be infinite in number (eg the counting numbers), but unlike a continuous random variable, it cannot take any value in between valid results.
Is the best description of a stratified random sample?
Stratified random sampling is a form of probability sampling that provides a methodology for dividing a population into smaller subgroups as a means of ensuring greater accuracy of your high-level survey results. The smaller subgroups are called strata. Stratified random sampling is also called proportional or quota random sampling.
