ex3ab06 - Language of evaluation 1(6 pts The following...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
Language of evaluation 1) ( 6 pts ) The following points pertain to the book and lecture on evaluation. Which statements are true? MTF (A) Classifying data as irrelevant to a model means that the data could not possibly refute the model no matter how they turned out. (B) In considering guilt versus innocence of a suspect in a trial, the law specifies we adopt the view that the suspect be considered innocent until proven guilty . The model of innocence is an example of a null model. (C) In science and in many aspects of society, the scientific method dictates that we adopt strict thresholds for acceptance of a model. A model slightly below the acceptance threshold is considered just as refuted as one way below the threshold. (D) If data are consistent with a model, then they also support it. (E) A null model is part of every properly designed study. If the study does not have a null model, then it is not properly designed. Correlations 2. (6 pts) Which of the following statements describe a (non-zero) correlation? Do not choose any option that describes a zero correlation or for which a correlation is undefined. If insufficient information is given to determine whether a correlation exists, treat it as if there is no correlation. MTF (A) There are more parking spaces open at UT in the evening than in the morning. (B) Teenagers are typically more trouble for parents than are younger children. (C) Both sexes of lab mice have similar weights (D) More people buy products endorsed by Michael Jordan than products endorsed by O.J. Simpson (E) People living near a high voltage power line get leukemia more often than those living far from a high voltage power line (F) In countries with a large percentage of children malnourished, measles kills about 20% of those infected. In countries with less than 1% of children malnourished, measles is fatal in less than 1% of infections. (G) White Ford trucks sell better in summer than in winter (H) Voter turnout is low in UT student elections and in Austin city government elections. 3. (4 pts) MTF “Third variable” models, which we introduced for correlations, (A) Explain why correlations are consistent with many causal models (B) Explain how X directly causes Y or explain how Y directly causes X (C) Explain how X and Y can be correlated when one does not cause the other. (D) Explain how X can cause Y (or Y cause X) through intermediate steps (e.g., X-> -> -> Y)
Background image of page 1

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

View Full DocumentRight Arrow Icon
4. (4 points) Which of the following constitutes an example of inferring causation from correlation (i.e., in which a correlation leads someone to infer the causal basis of the correlation)? Base your answer only on the information provided. Do not circle answers that merely describe a correlation or which infer correlation from causation. MTF (A) The Centers for Disease Control has noted that the incidence of sexually transmitted diseases (STD) decreased after beer taxes were raised in the past. They have thus recommended that further increases in beer taxes is a way to
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 12/20/2010 for the course BIO 301D taught by Professor Bull during the Spring '08 term at University of Texas.

Page1 / 8

ex3ab06 - Language of evaluation 1(6 pts The following...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online