Imagine that you are the mayor of a city of about 100,000 residents. Similar to many other cities, yours has a mixture of rich and poor neighborhoods. Because you and one of your key advisers were sociology majors in college, you both remember that the type of neighborhoods in which children grow up can influence many aspects of their development. Your adviser suggests that you seek a large federal grant to conduct a small field experiment to test the effects of neighborhoods in your city. In this experiment, 60 families from poor neighborhoods would be recruited to volunteer. Half of these families would be randomly selected to move to middle-class neighborhoods with their housing partially subsidized (the experimental group), and the other 30 families would remain where they are (the control group). A variety of data would then be gathered about the children in both groups of families over the next decade to determine whether living in middle-class neighborhoods improved the children’s cognitive and social development.
You recognize the potential value of this experiment, but you also wonder whether it is entirely ethical, as it would be virtually impossible to maintain the anonymity of the families in the experimental group and perhaps even in the control group. You also worry about the political problems that might result if the people already in the middle-class neighborhoods object to the new families moving into their midst. Do you decide to apply for the federal grant? Why or why not?
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- Psychologists at Disney World measured factors that affect the scariness of the soundtrack for their Haunted House ride. In particular, they were interested in the loudness of the screams (soft versus loud) and the length of the screams (short versus long). They used a 2 × 2 factorial design to test how these factors combined. They collected data from 10 different riders in each of the four conditions. Each rider rated the scariness of the ride on a nine-point scale. short screams long screams soft screams T=38, n = 10, SS = 13.6 T=64, n = 10, SS = 22.4 loud screams T=52, n=10, SS = 29.6 T=50, n=10, SS = 16.0 For these data: G = 204, N = 40, X2 = 1156. 1. Sketch a dataplot of the mean rating in each condition. 2. Calculate SS total, the total sum of squares 3. Calculate SSwithin, the within-treatments sum of squares. 4. Calculate SSbetween, the between-treatments sum of squares. 5. Calculate SSA the sum of squares for Factor A (length of scream). 6. Calculate SSB, the sum of squares…arrow_forwardYou're a quality engineer at Norman's fouth largest cracker factory. where there are two production lines (A, which produces 20% of cracker boxes, and B which produces the rest). If a line produces more than one defective box in an eight -hour day, a maintenance check on the line is performed. Line A produces an average of 0.061 box defects PER Hour. Given that you're only looking at a line A, what is the probability that you will need a request a maitenance check.arrow_forward
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