Compute a simple random sample size for an estimated mean of a continuous variable based on margin of error
Compute a simple random sample size using a margin of error specified as the half-width of a normal approximation confidence interval or the half-width relative to the population mean.
nContMoe(moe.sw, e, alpha=0.05, CVpop=NULL, S2=NULL, ybarU=NULL, N=Inf)
moe.sw |
switch for setting desired margin of error (1 = CI half-width on the mean; 2 = CI half-width on the mean divided by \bar{y}_U) |
e |
desired margin of error; either e=z_{1-α/2}√{V(\bar{y}_s)} or e=z_{1-α/2}CV(\bar{y}_s) |
alpha |
1 - (confidence level) |
CVpop |
unit (population) coefficient of variation |
S2 |
population variance of the target variable |
ybarU |
population mean of target variable |
N |
number of units in finite population |
If moe.sw=1, then S2 must be provided. If moe.sw=2, then either (i) CVpop or (ii) S2 and ybarU must be provided.
numeric sample size
Richard Valliant, Jill A. Dever, Frauke Kreuter
Valliant, R., Dever, J., Kreuter, F. (2013, chap. 3). Practical Tools for Designing and Weighting Survey Samples. New York: Springer.
nContMoe(moe.sw=1, e=0.05, alpha=0.05, S2=2) nContMoe(moe.sw=1, e=0.05, alpha=0.05, S2=2, N=200) nContMoe(moe.sw=2, e=0.05, alpha=0.05, CVpop=2) nContMoe(moe.sw=2, e=0.05, alpha=0.05, CVpop=2, N=200) nContMoe(moe.sw=2, e=0.05, alpha=0.05, S2=4, ybarU=2)
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