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A researcher decides to conduct a study to observe the association between smoking cessation among long-term smokers and obesity since it has been previously well documented in the literature that smokers tend to gain weight when they stop smoking. The researcher notes that among the individuals who gain weight, many of them have developed heart problems or other medical problems that typically prevent them from exercising as much as their counterparts. In this case the individuals who developed these health problems had specific genetic markers putting them at higher risk of developing their health problems while they were smoking than their counterparts. This is an example of which of the following?
[1] Confounding
[2] Statistical interaction
[3] Misclassification bias
[4] Recall bias
Fifteen randomly chosen teenagers were asked how many hours per week they spend on the phone. The sample mean was 4.75 hours with a sample standard deviation of 2.0. Conduct a hypothesis test. The null and alternative hypotheses are:
What is the probability that a randomly selected customer will be unsatisfied with the financial advice given?
Use the equation to predict the value of a home measuring 1500 sq. ft. which is at a distance of 0.75 mile from the centre of the town.
Are the local arrest rates significantly different from the statewide rate? Write a sentence or two interpreting your decision.
Consider a nonsymmetric random walk onZ, where we start at the origin, and at each time step we either move right one unit with probabilityp >1/2 or left.
The use of the ratio li /tr(XTX) as the proportion of total variance accounted for by the ith sample PC has the defect that it lies in the half-closed interval 1≥li ≥0. Show that the statistic
a) How does your simulated data compare to the theoretical distribution?
Combining relationships. Suppose that x1 =2x2- 4 so that x1 and x2 are positively correlated. Let y =3x2 + 4 so that y and x2 are positively correlated.
Test the hypothesis that the median percentage of family income spent for food and groceries is 35 against the alternative that it is less than 35. Use α = 0.05.
A research report concludes that there are significant differences among treatments, with "F(2, 24) = 8.62, p
Another simple question, can you give me 3 points regarding to origins of the Cold War.
let x be random variable with the following probability
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