nsize | R Documentation |

Function to determine required sample size to be within a given margin of error

nsize(b, sigma = NULL, p = 0.5, conf.level = 0.95, type = c("mu", "pi"))

`b` |
the desired bound |

`sigma` |
population standard deviation; not required if using type |

`p` |
estimate for the population proportion of successes; not required if using type |

`conf.level` |
confidence level for the problem, restricted to lie between zero and one |

`type` |
character string, one of |

Answer is based on a normal approximation when using type `"pi"`

.

Alan T. Arnholt <arnholtat@appstate.edu>

nsize(b = 0.015, p = 0.5, conf.level = 0.95, type = "pi") # Returns the required sample size (n) to estimate the population # proportion of successes with a 0.95 confidence interval # so that the margin of error is no more than 0.015 when the # estimate of the population propotion of successes is 0.5. nsize(b = 0.02, sigma = 0.1, conf.level = 0.95, type = "mu") # Returns the required sample size (n) to estimate the population # mean with a 0.95 confidence interval so that the margin # of error is no more than 0.02.

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