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1. A wine manufacturer sells cabernet with a label that asserts an alcohol content of 11%. Sixteen bottles of this label are randomly selected and analyzed for alcohol content. The resulting observations are:
10.8
9.6
9.5
11.4
9.8
9.1
10.4
10.7
10.2
11.1
10.5
Looking at the data, the manufacturer is incorrect in its label claim. Perform hypothesis testing to prove or disprove it. Is the manufacturer correct in its label claim? Explain.
2. A survey of 436 workers showed that 192 of them said that it was seriously unethical to monitor employee e-mail. When 121 senior-level bosses were surveyed, 40 said that it was seriously unethical to monitor employee e-mail (based on data from a Gallup poll). Use a 0.05 significance level to test the claim that for those saying that monitoring e-mail is seriously unethical, the proportion of employees is greater than the proportion of bosses.
Let X be the number of yes votes obtained from a random sample of 200 out of the entire voting population. What is the expected value of X if, in fact, 65% of all voters supported the dictator?
Which of these variables are discrete and which are continuous random variables?
Conduct post hoc comparisons with the LSD method. Which groups differ significantly at α = 0.05?
Determine the likelihood of accepting a lot which is 1% defective?
Let be the average of the pay you receive for the first and second week. Find the sampling distribution
Give all steps of a test of the hypothesis that the corresponding population proportions are equal.
Assume the data for the three groups are independent and the data are approximately Normal. The P-value is less than 0.01. The correct conclusion is that
Evolutionary theories often, Emphasize that humans have adapted to their physical environment. One such theory hypothesis that:
Would the null hypothesis be accepted or rejected in this case?
What sample size and acceptable level would result in a probability of .05 that a good batch will be rejected and a probability of .10 that a bad batch will be accepted?
Compute the probability that debt for a randomly selected borrower with good credit is more than $18,000?
To find out whether the course is effective in increasing sales, the appropriate set of hypothesis for testing is:
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