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Understanding Random Sampling in TV Viewing Surveys: Validity and Population Estimation

This survey explores the validity of using random sampling as a method for understanding TV watching habits. We'll look at how random sampling tends to produce samples that reflect the wider population, allowing for valid inferences to be made about TV preferences. By conducting an experiment similar to ecological studies, such as estimating deer populations, we will demonstrate how to use sample data to predict larger population sizes. Participants will also engage in worksheets and exit tickets to reinforce concepts, including identifying different types of sampling methods.

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Understanding Random Sampling in TV Viewing Surveys: Validity and Population Estimation

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Presentation Transcript

  1. Describe a possible parameter for a survey about TV watching

  2. Agenda • Go over “Is it valid” • Notes, just a little • Experiment on predicting population • Worksheets • Exit ticket

  3. Random sampling • tends to produce representative samples and support valid inferences • Not a planned group • Wide variety within sample

  4. Predicting population size • If the population size of a group is unknown, the sample sizes can be used to make predictions and calculate this number. • For example: • A forest has too many deer for us to count. We take a group of 100 deer and mark them then distribute them evenly throughout the population. Several days pass, then we take a sample of 120 deer and find that 20 of them are marked. We can set up a proportion to calculate the total population size. • i.e.=. 20x = 100(120) / 20 So, our estimate is there are 600 deer in our population.

  5. Experiment • Work with partner on completing experiment and worksheet

  6. Exit ticket • Name three kinds of sampling

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