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Published byAlfred McCoy Modified over 9 years ago
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A population is a large group of individuals you want information about. An individual is defined to include people, animals, or objects that are described by data. Realistically, though, would we able to survey everyone in the United States to find out something? For example, could we ask every American what their favorite food is or who they plan to vote for in an election?
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Example: US Census every 10 years Example: A phone poll asking who you will vote for in an upcoming election A CENSUS ◦ a survey of an entire population ◦ very expensive ◦ time-consuming A SAMPLE ◦ a group chosen to represent an entire population ◦ less expensive ◦ can be designed to take much less time than a census
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Population = entire group Sample = chosen group What is the population? ◦ The population is the group of 250 computers. What is the sample? ◦ The sample is the group of 25 computers he inspects.
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Convenience Sample: chooses individuals who are easiest to reach ◦ Example: asking people leaving a grocery store who they are going to vote for in an election Voluntary Response Sample: individuals respond to a general request ◦ Example: people respond to a survey they received in the mail
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In other words, they are biased.
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A population might be UNDERREPRESENTED. ◦ one or more parts of a population are left out when choosing the sample A population might be OVERREPRESENTED. ◦ an emphasis is placed on one or more of the parts of a population
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Scenario #1Scenario #2 A survey is conducted by calling 100 people randomly chosen from the phone book and asking them what there favorite kind of toothpaste is. A restaurant owner wants to know how often families in his area go out for dinner. He surveys 30 families who eat at his restaurant on Tuesday night.
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Scenario #1 is BIASEDScenario #2 is BIASED The random people chosen from the phone book are not necessarily representative of the entire city’s population. People who aren’t listed in the phone book are excluded. The sample is a convenience sample, which probably isn’t representative of the entire area’s population. Families already eating out may eat out more often than other families in the are.
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Imposes a treatment on individuals Collects data on their response to the treatment
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Observes individuals and measures variables without controlling the individuals or their environment in any way
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This is an observational study, because the researcher isn’t controlling the students or applying a treatment. This is an experiment, because the cosmetologist applies a treatment to some individuals. A researcher asks students the average number of hours they spend studying for a test to see if there is a relationship between studying and grades. A cosmetologist wants to know whether nail polish A lasts longer than nail polish B, so she paints two sets of nails with each polish.
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For experiments to be useful, they must be carefully thought out and designed. A CONTROLLED EXPERIMENT sets up a control group and a treatment group so that two groups can be studied under conditions that are identical except for one variable. A RANDOMIZED COMPARATIVE EXPERIMENT is one in which individuals are assigned to the control group or the treatment group randomly in an effort to minimize bias.
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At a local elementary school, 150 randomly chosen students were given milk at lunch for a year. 150 other randomly chosen students were given other drinks at lunch for a year. At the end of the year, students in the milk group had 22% fewer calories than the students in the other group. Randomized Comparative Experiment Treatment is drinking milk at lunch Treatment group drank milk Control group drank other beverages
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Which would be better: an experiment or an observational study? In this case, an observational study would be best, because it wouldn’t be fair to ask a treatment group to possibly ruin its hearing if the individuals don’t already listen to music with headphones. To be effective, randomly choose one group of people that already listens to an iPod™ with headphones for more than two hours a day. Then, randomly choose one group of people that doesn’t listen to music with headphones. Monitor the hearing of both groups regularly and record results.
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