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Contains all members about wish a study intends to make inferences |
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A list of all members of the population |
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Potential members of a sample from a population |
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Chosen by the samplers judgement and not by random |
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Any sample that is chosen by random |
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A sample where each member of the population has the same chance of being chosen |
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A samoke where on eof the first K members is selected randomly, and then every Kth member after this one is selected |
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Stratified Sample What are the advantages? |
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A sample where the population is divided into relatively homogeneous subsets (strata), and then random samples are taken from each of the strata Advantages: 1) Separate estimates within each stratum 2) More accurate |
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Proportional sample sizes |
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Occurs when the proportion of each stratum selected is the same from stratum to stratum |
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A sample where the population is separated into clusters and then a random sample of the clusters is selected Single Stage Multistage (sample households) |
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A statement about a numerical characteristic of the population |
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1) Nonresponse bias 2) nontruthful response (fix by randomizing questions) 3)Measurement error ( the answers dont reflect the question the sampler intended) 4) voluntary response bias (only the A students respond |
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"Best guess" of population parameter |
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Difference between the estimate of a population parameter and the true value of the parameter |
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The distribution of the point estimates we would see from all possible samples from the population |
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An interval around the point estimate, calculated from the sample data, where we strongly believe the true value of the population parameter lies |
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An estimate where the mean of its sampling distribution equals the value of the patameter being estimated |
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Standard error of an estimate |
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The stdev of the sampling distribution of the estimate |
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Indicates unbiasedness of sample mean |
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Standard error of the sample mean |
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Indicates how sample means from different samples vary |
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Confidence interval for population mean |
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Very confident that the population mean is within this interval |
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Finite Population Correction |
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A correction for the standard error when the sample size is fairly large relatively to the population size WHEN MORE THAN 5% IS SAMPLED |
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The distribution of the sample mean is approximately normal for sufficiently large sample sizes |
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Random Sample What is the purpose? |
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To estimate properties of a population |
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The resulting distribution where each value has the same chance of reoccuring |
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You need the value even though the parameter is not a primary interest |
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The sampling distribution of the standardized sample mean when the sample standard deviation is used instead of the population strandard deviation |
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Indicates the number of standard errors that a sample mean differes from the population mean |
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95% 2.045
90% 1.699
99% 2.756
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Checks if procedures are being followed |
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