It is often preferred because it is more economical

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it is often preferred because it is more economical Disadvantages Decreased precision, thus requiring a large sample size Calculation of confidence intervals and p values is more complicated cluster sampling is less accurate than SRS Systematic sampling It is a method of selecting sample members from a larger population according to a random starting point and a fixed, periodic interval. Typically, every "nth" member is selected from the total population for inclusion in the sample population. Systematic sampling is still thought of as being random, as long as the periodic interval is determined beforehand and the starting point is random. Advantages: It is more straight-forward than random sampling A grid doesn't necessarily have to be used, sampling just has to be at uniform intervals A good coverage of the study area can be more easily achieved than using random sampling Disadvantages: It is more biased, as not all members or points have an equal chance of being selected the process of selecting the sample can interact with a hidden periodic trait within the population Determination of sample size Determine the confidence interval of your study. Determine the confidence level of your study. Convert your confidence level to a Z-score by using a Z-score table. Predict the proportion of the study. Compute the needed
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