Lesson 1.2.a developing a study
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This document outlines the key steps in designing a statistical study: (1) identify the objective or question, (2) choose and collect a sample of data from the population, (3) organize and analyze the sample data to calculate statistics, and (4) make inferences about the population based on the sample statistics. It emphasizes the importance of random sampling to obtain an unbiased sample that allows for accurate conclusions. The document also differentiates between survey, experiment, and observational study designs and provides examples of each.
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Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
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Liberal Approach to the Study of Indian Politics.pdf
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Film vocab for eal 3 students: Australia the movie
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
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The simplified electron and muon model, Oscillating Spacetime: The Foundation...
Lesson 1.2.a developing a study
- 1. Designing a Study Lesson 1.2.a CCSS: S.IC.3,5
- 2. OBJECTIVES You will: Understand the concept of a statistic Learn the steps in a statistical survey Evaluate surveys, studies, and experiments Learn about sampling bias Learn how to take a random sample
- 3. In a statistical Study: Data is collected & used to answer questions about a population characteristic or “parameter” Since it is often impractical to measure an entire population, a sample or “statistic” is calculated This sample is used to make “inferences” about a population UNDERSTANDING A STATISTICAL STUDY
- 4. UNDERSTANDING A STATISTICAL STUDY Stepsinastatisticalstudy Identify Objective Choose Sample & Collect Data Organize Data & Calculate Sample Statistics Make Inferences – Draw Conclusions about the Population
- 5. Watch this Video to Learn about Sampling Bias.
- 6. Random Sample So, to obtain good information and draw accurate conclusions, an “unbiased sample” should be chosen. Once an unbiased selection is made, it is important to take a “random sample” in which members of the population are chosen entirely by chance. Watch below to see how results can be skewed when a sample is not random!
- 7. Study Types Survey -data is collected by members of a population Experiment -sample is divided into 2 groups, experimental & control group Observational Study -measured & observed without being affected by the study
- 8. Survey Types - Examples Survey To determine whether the student body likes the new cafeteria menu, you ask a random sample of students their opinion Experiment A restaurant is considering adding sugar to their tea. They randomly give half their customers the tea with sugar and the other half the unchanged version. They then ask how they like the tea. Observational Study Researchers at an electronics company observe a group of teenagers using different laptops and note their reactions.
- 9. Conclusion You should now be able to: Understand the concept of a statistic Identify the steps in a statistical survey Evaluate surveys, studies, and experiments Explain sampling bias Know how to take a random sample