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1. What fate did Troy Leon Gregg face after the Supreme Court's decision in his case?
2. Under the Georgia statute, what would be one example of an aggravating circumstance?
3. Why is the Gregg case important in the history of the Supreme Court?
4. With what criteria did the Court find the death penalty to be valid?
5. Although two justices dissented, they did so for different reasons. Which of the dissents do you find more persuasive?
Transportation problem using the stepping stone method
Using the .01 level, what should the researcher conclude? Solve this problem explicitly using all five steps of hypothesis testing, and illustrate your answer with a sketch showing the comparison distribution.
Conduct all 6 steps of the appropriate statistic. Be sure to label all six steps. b. Calculate and interpret the effect size for this test. c. Calculate and interpret any post-hoc test if necessary.
What would happen if the forest service agent took another sample of 31 trees? Would the slope change? Would the intercept change? What about a third sample of 31 trees?
Assume the random variable x is normally distributed with mean mu = 85 and standard deviation sigma =4. Find the indicated probability. P(x
A certain airplane has 2 independent alternators to provide electrical power. The probability that a given alternator will fail on a 1 hour flight is 0.02. What is the probability that (a) both will fail? (b) Neither will fail? (c) One or the othe..
What is your decision regarding the null hypothesis and interpret.
reducing fat and saturated fat in your familys diet is important to maintaining heart health and reducing calories.
Use frequency distribution to create a probability distribution, determine the (b) mean,(c) variance.
suppose 20 of the people in a city prefer pepsi cola as their soft drink of choice. if a random sample of six people
Call this the customer's age. Next, for each of 100 customers, draw from the N(10; 2) distribution and call this the customer's length of membership.
the proportion of junior executives leaving large manufacturing companies within three years is to be estimated within
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