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Death Penalty Survey In a Gallup poll, 491 randomly selected adults were asked whether they are in favor of the death penalty for a person convicted of murder, and 65% of them said that they were in favor.
a. Find the point estimate of the percentage of adults who are in favor of this death penalty.
b. Find a 95% confidence interval estimate of the percentage of adults who are in fa- vor of this death penalty.
c. Can we safely conclude that the majority of adults are in favor of this death penalty? Explain.
Let p1 = 100 and n1 = 500; and p2 = 200 with n2 = 500. Test whether there is a statistical difference between the two proportions at the 5% significance level.
Determine the cutoff sample score at a significance level of 5%. Calculate a Zobt score. Compare the Zobt to the Zcrit
questiona the following data represent the number of years patients survived after being diagnosed with terminal
What is a hypothesis test? Why do we need to use them to make decisions about relating sample results to the population; why can't we just make our decisions by the sample value?
let x denote a geometric random variable with parameter p. for s gt0 compute ee-sx. for what other values of s is your
Was there any difference in the nurses' preference in brand (α = 0.05)? Show all necessary components of a full hypothesis test, including a source table.
create the confidence interval for sigma2 using the data from problem 1 with 005. the endpoints of the confidence
a warehouse employs 21 workers on first shift and 18 workers on second shift. eight workers are chosen at random to be
In the North American court system, a defendant is assumed innocent until proven guilty. In an ideal world, we would expect that the truly innocent will always go free, whereas the truly guilty ones will always be convicted.
the computer chips in notebook and laptop computers are produced from semiconductor wafers. certain semiconductor
An automobile insurance company estimates the following loss probabilities for the next year on a $25,000 sports car:
The mean life of your sample were more than 780 hours. What is the probability that you will not buy again from this manufacturer?
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