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Question: You must interpret (tell the story) of the Odds Ratio within the context of the question. See the example on the slide. Question A:

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Question:

You must interpret (tell the story) of the Odds Ratio within the context of the question. See the example on the slide.

Question A: A study of passengers in autos and light trucks involved in accidents in the state of Georgia in 2017 found the following classification of passengers by whether they were wearing a seat belt and by whether they were injured or killed.

1) If the Odds Ratio for the probability of injury for seat belt wearers compared to non-wearers is 0.48, what does that mean? Explain it, tell the story.

Injury No injury

Yes Seat Belt 2,409 35,383

No Seat Belt 3,865 27,037

Question B: According to the US DOJ, in 1994 the incarceration rate in the nation's prisons was 646 per 100,000 male residents, 45 per 100,000 for female residents. The odd ratio between gender and whether incarcerated is 14.6. Explain, tell the story.

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Block introduction researcher investigates if the level of testosterone influences the level of risk-taking behaviour among adolescents. Risk-taking behaviour is measured on a 7 -po cale. his is an example of. Bivariate statistics with testosterone as dependent variable Univariate statistics with testosterone as independent variable Bivariate statistics with testosterone as independent variable Inivariate statistics with testosterone as dependent variableon a 7 -point Likert scale. A researcher investigates if the level of testosterone influences the level of risk-taking behaviour among adolescents. Risk taking behaviour is measured This is an example of: O Univariate statistics with testosterone as independent variable O Bivariate statistics with testosterone as independent variable O Univariate statistics with testosterone as dependent Quiz Took O Bivariate statistics with testosterone as dependent variableWe have a model of randomized complete block design for an experiment. yo= + Ti+ P;+ E . i= 1,.,a; j=1,...b. T is for treatment effect and / is the block effect, and & is the random error in the model. Derive E(y; - y.;) and var(y;; - y. ) under the assumption that both treatment and block factors have fixed effect.QUESTION 1 True or False: The blocking variable in randomized complete block design is always a random effects variable. True False QUESTION 2 True or false: Graeco-Latin square designs can be for any p greater than or equal to 3. True False

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