Sampling error flashcard sets

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sampling error definitions
# Definition Sets
1the difference between the results of random samples taken at the same time.13 sets
2the level of confidence in the findings of a public opinion poll. the more people interviewed, the more confident one can be of the results.9 sets
3the difference between the results of random samples taken at the same time9 sets
4the level of confidence in the findings of a public opinion poll. the more people interviewed, the more confident one can be of the results4 sets
5the difference between the results of two surveys or samples3 sets
6the amount of error associated with a sample due to its deviation from the population3 sets
7use of a sample or subset of a population, an event, or some other aspect of nature for an experimental group that is not large enough to be representative of the whole.3 sets
8the level of confidence in the findings of a public opinion poll2 sets
9part of a sampling process that results in a biased sample2 sets
10polling error that arises based on the small size of the sample2 sets
11the different between the results of random samples taken at the same time2 sets
12a number that indicates within what range the results of a poll are accurate2 sets
13a polling error that arises on account of the small size of the sample2 sets
14the difference between a sample estimate and a corresponding population parameter that arises because only a portion of a population is observed2 sets
15the level of confidence in the findings of a public opinion poll.2 sets
16refers to a statistical error, usually within three percentage points, inherent in the polling process2 sets
17tells how far off the poll results results may be2 sets
18the difference between a samples results and the true result if the entire population had been interviewed2 sets
19margin of error in public opinion poll. most polls are accurate within a margin of four percent2 sets
20the difference between the sample statistic and its corresponding population parameter.2 sets
21the measure of the degree of accuracy of a poll base on the size of the sample.1 set
22how far off results may be1 set
23an error that occurs when a sample somehow does not represent the target population1 set
24the amount of error between a sample statistic and population parameter1 set
25difference between results form a subset and results form the whole - happens most often when sample sizes are small; the more trials, the smaller the sampling error1 set
26the difference between a sample result and the true population result1 set
27the difference between data taken from a sample and data taken from the whole.1 set
28difference among group means because the samples are not 100 percent representative of a population; the exten to which sample values (statistics) deviate from those that would be obtained from the entire populaiton (parameter)1 set
29random discrepancy between theoretical expectations and actual results1 set
30margin of error in public opinion poll.1 set
31the difference between the results of two surveys or samples. for example, if one random sample shows that 60% of all americans like cats and another random sample taken at the same time shows that 65% do, the random sampling error is 5%.1 set
32difference between sample mean and population mean1 set
33deviation of sample from population1 set
34the magnitude of the difference between the characteristics of the sample and the characteristics of the population from which it was selected1 set
35difference between results derived from testing an entire group of events or individuals, and results derived from testing a subset of the group.1 set
36the difference between the sampling results and the true populations results1 set
37random difference that exists between the sample and the population (if you had the entire population then the sampling error would be zero)1 set
38error in sampling/ measures the level of "confidence you have in you sample. ex: you have a 5% sample error, then you have 95% correct, your confidence level is 95%1 set
39the difference between the characteristics of a sample and the characteristics of the population from which it was selected. the larger the sampling error, the less representative the sample, and thus the less generalizable the findings.1 set
40measure of the accuracy of a public opinion poll1 set