6.6 analyze surveys and samples math 1. 6.6 analyze surveys and samples vocabulary gps mm1d3....
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6.6 Analyze Surveys 6.6 Analyze Surveys and Samples and Samples
6.6 Analyze Surveys 6.6 Analyze Surveys and Samples and Samples
Math 1Math 1
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6.6 Analyze Surveys and Samples Vocabulary
• GPS• MM1D3. Students will relate
samples to a population.
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6.6 Analyze Surveys and Samples Vocabulary
• Have you ever thought about the surveys that you have answered?
• Were the questions fair? • Why were you picked to take the
survey?• There are some important
vocabulary that goes along with surveys and how the samples of people are chosen.
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6.6 Analyze Surveys and Samples Vocabulary
• 1.) What is a survey?• A survey is a study of one or
more characteristics of a group.
• 2.) The entire group you want information about is called a population.
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6.6 Analyze Surveys and Samples Vocabulary
• 3.) Do you have to survey the entire population?
• NO, a sample can be picked, which is part of a population.
• 4.) Can samples be picked fairly?• Yes, in a random sample every
member of the population has an equal chance of being selected.
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6.6 Analyze Surveys and Samples Vocabulary
• There are also other types of samples.
• 5.) Stratified random sample – the population is divided into distinct groups, then members are selected at random from each group.
• 6.) Systematic sample – a rule is used to select members of the population.
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6.6 Analyze Surveys and Samples Vocabulary
• 7.) Convenience sample – only members of the population who are easily accessible are selected.
• 8.) Do you think a convenience sample is fair YES or NO. Why?
• NO, because it is not a fair sample
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6.6 Analyze Surveys and Samples Vocabulary
• 9.) Self-selected sample – members of the population volunteer.
• 10.) Representative sample – accurately reflects the characteristics of a population.
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6.6 Analyze Surveys and Samples Vocabulary
• 11.) biased sample – sample not representative of the population.
• And last but not least…• 12.) A question that encourages a
particular response is a biased question.