Between 1999 and 2009, annual per capita cheese consumption correlates with thenumber of people who died by becoming tangled in their bedsheets with a coefficientr of 0.95. Do you think this coefficient is epidemiologically meaningful?No, these are probably related by only by corresponding to specific years.Yes, both cheese consumption and bed entangling are caused by a third variable,Netflix series.Yes, because people who eat cheese in bed eat more and get tangled in theirsheets, so one variable is a strong predictor of the other.No, this coefficient is not statistically significant.O No, as long as the coefficient is not 1, there is no relationship.

An indication of the direction and intensity of a link between two variables is a correlation…

Answered: Between 1999 and 2009, annual per…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In April of 2012, the Centers for Disease Control and Prevention announced that birth rates for U.S. teenag-ers reached historic lows. From 2009 to 2010 the rate declined 9%, to a level of 34.3 births per 1000 womenaged 15–19. Which of these conclusions is an example ofextrapolation in this context?A) There was a decreasing trend in teenage birth ratesat the time of this study.B) Time is an explanatory variable in the change ofteenage birth rates.C) By 2014, teenage birth rates will be 36% lower andset new records.D) There is a linear relationship between year andteenage birth rates.E) None of these is an example of extrapolation.
.A new, miracle diabetes drug that diminishes major symptoms of diabetes has been approved by the FDA. Health care professionals and researchers believe that the new drug will prolong lifespan of diabetes patients. If the population is in steady state and the incidence is constant, what will the effect of this new drug be on the prevalence of diabetes in the population? Explain.
You were asked to help with an analysis of birth weights (BW) of 10,000 infants born in NYC during a certain period of time. The aim of the analysis is to see whether the birth weights of the infants are associated with mothers’ AGE at birth (continuous variable in years), mothers’ current HOUSING status (“own” and “not-own”; “own” is the reference group), and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “Staten Island”; “Manhattan” is the reference group). Write down the population model that estimates the effect of mother’s AGE on BW while adjusting for mother’s current HOUSING status. If you use dummy or binary variables, specify what they mean. Write down the population model that estimates the effect of mother’s AGE on BW while adjusting for mother’s current HOUSING status and BOROUGH. If you use dummy or binary variables, specify what they mean. Write down the population model that estimates the effect of mother’s AGE…
If the duration of a disease is long and the incidence of the disease is low, the prevalence rate of that disease will be similar to the incidence rate of that disease. True False
In 2001, the polls found that 81% of American adults believed that there was a conspiracy in the death of President Kennedy. Assume a recent poll asked 1160 American adults if they believe there was a conspiracy in the assassination and it found that 897 believe there was a conspiracy. Does the data show that the proportion of Americans who believe in this conspiracy is now lower? Test at the 9% level. What is the correct parameter symbol for this problem? What is the wording of the parameter in the context of this problem? Fill in the correct null and alternative hypotheses:
O Macmillan Learning In 2017, the entire fleet of light-duty vehicles sold in the United States by each manufacturer must emit an average of no more than 86 milligrams per mile (mg/mi) of nitrogen oxides (NOX) and nonmethane organic gas (NMOG) over the useful life ( 150,000 miles of driving) of the vehicle. NOX + NMOG emissions over the useful life for one car model vary Normally with mean 82 mg/mi and standard deviation 5 mg/mi. A company has 25 cars of this model in its fleet. What is the probability that the average NOX + NMOG level of these cars is above 86 mg/mi? Give your answer to four decimal places. probability: MacBook Air

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