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.11 sets
2the difference between the results of random samples taken at the same time9 sets
3the level of confidence in the findings of a public opinion poll. the more people interviewed, the more confident one can be of the results.8 sets
4use 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
5a polling error that arises on account of the small size of the sample3 sets
6the amount of error associated with a sample due to its deviation from the population3 sets
7the difference between the results of two surveys or samples3 sets
8the level of confidence in the findings of a public opinion poll. the more people interviewed, the more confident one can be of the results3 sets
9polling error that arises based on the small size of the sample2 sets
10part of a sampling process that results in a biased sample2 sets
11the level of confidence in the findings of a public opinion poll2 sets
12the level of confidence in the findings of a public opinion poll.2 sets
13a number that indicates within what range the results of a poll are accurate2 sets
14the difference between a sample estimate and a corresponding population parameter that arises because only a portion of a population is observed2 sets
15refers to a statistical error, usually within three percentage points, inherent in the polling process2 sets
16the different between the results of random samples taken at the same time2 sets
17the difference between a samples results and the true result if the entire population had been interviewed2 sets
18the difference between the sample statistic and its corresponding population parameter.2 sets
19how far off results may be1 set
20an error that occurs when a sample somehow does not represent the target population1 set
21difference 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
22the measure of the degree of accuracy of a poll base on the size of the sample.1 set
23the difference between data taken from a sample and data taken from the whole.1 set
24the 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
25deviation of sample from population1 set
26difference between sample mean and population mean1 set
27survey issue due to can't select everybody in population1 set
28sample data is slightly different from the true population because of change alone1 set
29the difference between a sample's results and the true result if the entire population had been interviewed1 set
30margin of error in public opinion poll.1 set
31the magnitude of the difference between the characteristics of the sample and the characteristics of the population from which it was selected1 set
32random discrepancy between theoretical expectations and actual results1 set
33random difference that exists between the sample and the population (if you had the entire population then the sampling error would be zero)1 set
34the difference between a sample result and the true population result1 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
36measure of the accuracy of a public opinion poll1 set
37occurs in finite populations; acts strongly on smaller populations - causes genetic drift.1 set
38refers to a statistical error, usually within three percentage points, inherent in the poling process.1 set
39error when a sample somehow does not represent the target population1 set
40fluctuation of value of statistic from one sample to another drawn from one sample to another drawn from same population1 set