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Statistics is the science of making effective use of numerical data relating to groups of individuals or experiments sampling is an important to statistics because It deals with all aspects of this including not only the collection analysis and interpretation of such data but also the planning of the collection of data -SDOT15DELEON
to select a random sample you pick them at random
Cus
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
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
Testing random samples of wild animals to decide whether they are healthy Testing 1 in 10 of a company's products to determine that they are defect-free
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Data from random samples will not always include the same values. Values are chosen randomly and they may or may not be the same. So means will vary among random samples.
Statistics is the science of making effective use of numerical data relating to groups of individuals or experiments sampling is an important to statistics because It deals with all aspects of this including not only the collection analysis and interpretation of such data but also the planning of the collection of data -SDOT15DELEON
to select a random sample you pick them at random
Cus
5
There are a few reasons why samples are used in statistics. One reason is that the whole population cannot be used and a sample is a good representation of the whole.
Stratified Random Sampling: obtained by separating the population into mutually exclusive (only belong to one set) sets, or stratas, and then drawing simple random samples (a sample selected in a way that every possible sample with the same number of observation is equally likely to be chosen) from each stratum.
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