click below
click below
Normal Size Small Size show me how
14.2.) Measurement
Excursions of Modern Mathematics
Term | Definition |
---|---|
Poll | A survey in which the data collection involves asking questions and recording answers. |
Sampling Proportion | Percentage or proportion of the population represented by the sampling. |
Biased Sample (Sampling Bias) | A sample in which not every member of the population had an equal chance of being included. |
Selection Bias | A bias that occurs when some members of the population have no chance of being included in the sample. |
Target Population | The population to which the conclusions of the survey apply. |
Sampling Frame | The population from which the sample is drawn. |
Convenience Sampling | Sampling strategy based on selecting the most convenient individuals to be in the sample. |
Self-selection Bias | A type of bias that results when the sample consists of individuals who volunteer to be in the sample. |
Quota Sampling | A sampling method that uses quotas as a way to force the sample to be representative of the population. |
Response Rate | The percentage of respondents in a poll out of the total sample size. |
Non-response Bias | A type of bias that results from having low response rates. |
Simple Random Sampling | A sampling method where any group of individuals in a population has the same chance of being in the sample as any other group of equal size. |
Stratified Sampling | A sampling method that uses several layers of strata and sub-strata and chooses the sample by a process of random selection within each layer. |
Sampling Error | The distance between a parameter and a statistic obtained from a sampling. |
Sampling Variability | The natural variability of the statistics obtained by different samples of the same population, even when the samples are chosen using the same methodology. |
Systematic Sampling | Poll every nth person at a particular location and only counting the responses from the person regardless if they respond or not. |
Cluster Sampling | Breaks the sampling frame into categories called strata. A random sample is then chosen from the strata. A whole group is selected rather than parts of each strata. |