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9 Cards in this Set

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point estimate
single value (or point) used to approximate a population parameter
confidence interval
interval estimate-range of values used to estimate the true value of a population parameter
confidence level
probability 1-alpha that is the proportion of times that the confidence interval actually does contain the population parameter, assuming that the estimation process is repeated a large number of times
critical value
number on the borderline separating sample statistics that are likly to occur from those that are unlikely to occur, the number z alpha/2 is a critical value that is a z score with the property that it seperates an area of alpha/2 in the right tail of the standard normal distribution
margain of error
when data form a simple random sample are used to estimate a population proportion p the margin of error, denoted by E, is the maximum likely difference between the observed sample proportion p hat and the true value of the population proportion p, the margin of error E is also called the maximum error of the estimate and can be found by multiplying the critical value and the standard deviation of sample proportions
round off rule for confidence interval estimates of p
round the confidence interval limits for p to three significant digits
round off rule for determining sample size
in order to ensure that the required sample size is at least as large as it should be, if the computed sample size is not a whole number, round it up to the next higher whole number
requirements for estimating mu when sigma is unknown
1. the sample is a simple random sample
2. either the sample is from a normally distributed population or n greater than 30
degrees of freedom
collection of sample data is the number of sample values that can vary after certain restrictions have been imposed on all data values