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In some cases, a population can better be thought of as a process that generates individuals as in the case of a particular experimental or man-made apparatus or a natural process. Table 1 shows examples of concrete and hypothetical populations.
Samples and Populations (cont.) Examples: In the cow data set: I the sample is the 50 cows; I the population is cows of the same breed on dairy farms. In the plantation example: I the sample is the three sites where data was collected; I the population is all plantations in Costa Rica where one might consider restoration to native forest.
Populations and Sample. q Population versus Sample: A population includes the universe of all instances of an object or phenomenon that you are trying to study. A sample is a subset of that population that you collect data on, and use, to make judgments about the behavior of the population.
Examples: The population of students currently enrolled at a certain university. The population of registered voters in a certain Congressional district. The population of large-mouthed bass in a certain lake. The population of all decay times of a certain species of radioactive nucleus.
Upon completion of this lesson, you should be able to: Define a population and explain the different kinds of population; Know about census and sample survey; Understand the conditions and principles of sample survey; Know the principle steps in sample survey; Understand the sampling and non-sampling error;
In this unit, Populations and Samples, we broaden our “lense” to include an appreciation of the connections between populations and samples. Example – The 1948 Gallup Poll. Before the 1948 presidential election, Gallup polled 50,000. Each was asked who they were going to vote for – Dewey or Truman.
Samples and populations. In this example, levels of anxiety were measured in a sample of 50, 100, or 1,000 college students. Researchers will observe anxiety in each sample. Then they will use inferential statistics to generalize their observations in each sample to the larger population, from which each sample was selected. MAKING SENSE ...
