# A controlled experiment generally compares the

This preview shows pages 2–5. Sign up to view the full content.

A controlled experiment generally compares the results obtained from an experimental sample against a control sample, which is practically identical to the experimental sample except for the one aspect whose effect is being tested (the independent variable). From Wikipedia, the free encyclopedia

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Chapter 5: Producing Data Analyzing Experiments Template Topic Answers Research Question: What is the question the researchers are trying to answer? Subjects / Experimental Units: What are the experimental units? Explanatory Variable(s) / Factor(s): Type of variable: Quantitative or Categorical Treatment(s): What are the Factor(s) and their Levels? Response Variable(s): Type of variable: Quantitative or Categorical Experimental Design Description: Using words or diagrams describe the experimental design Experimental Design Principles: Explain how these design principles apply in this study Control: Eliminate confounding effects of extraneous variables Randomization: No systematic difference between the groups Replication: Reducing role of chance in results Blocking: Is blocking used? If so describe the blocking and why it was used. Blinding: Is blinding used? If so describe the blinding in context. Concerns: What concerns do you have about the experimental design? Statistical Analysis Technique(s): What statistical analysis techniques are appropriate? Conclusions: What conclusions can be drawn from the study?
Chapter 5: Producing Data Section 5.1: Designing Samples Knowledge Objectives: Students will: Define population and sample . Explain how sampling differs from a census . Explain what is meant by a voluntary response sample . Give an example of a voluntary response sample . Define, carefully, a simple random sample (SRS) . List the four steps involved in choosing an SRS. Explain what is meant by systematic random sampling . Define a probability sample . Define a cluster sample . Define undercoverage and nonresponse as sources of bias in sample surveys. Give an example of response bias in a survey question. Construction Objectives: Students will be able to: Explain what is meant by convenience sampling . Define what it means for a sampling method to be biased . Use a table of random digits to select a simple random sample. Given a population, determine the strata of interest, and select a stratified random sample . Write a survey question in which the wording of the question is likely to influence the response. Identify the major advantage of large random samples. Vocabulary: Population – the entire group of individuals that we want information about Sample – a part of the population that is actually examined to gather the information Sampling – the process of studying a part in order to gain information about the whole Census – an attempt to contact every individual in the entire population Voluntary response sample – consists of people who choose themselves by responding to a general appeal Convenience sampling – contacting those individuals who are easiest to reach Bias – the systematic favoring of a particular outcome

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page2 / 16

A controlled experiment generally compares the results...

This preview shows document pages 2 - 5. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online