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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.
Part 1. What is the appropriate distribution for such data? Part 2. Is this lot anomalous?
What is the probability that the cereal would be high calorie? In other words, what is P (high calorie)?
Describe the factors that might cause variation in weight of Tootsie Rolls during manufacture.
Find the area under the normal distribution curve to the right of z = -1.03.
I have fit a line to data representing cholesterol readings for 28 individuals starting a cholesterol reducing drug. The computer provides the following output, The degrees of freedom for the t test for the slope are
Explain the logic of what you have done, writing as if you are speaking to someone who has never heard of correlation (but who does understand the mean, deviation scores, and hypothesis testing);
Below are one hundred pseudorandom numbers from a uniform pdf. Set up and test the appropriate goodness-of-fit hypothesis. Let α = 0.05.
Perform a hypothesis test by using.04 level of significance to find out if there is a difference between the population means.
A manufacturer of billiard balls is testing three additives to the basic plastic. Show the partial ANOVA table
Create a 95% confidence interval for true mean.
Categorize the following as discrete or continuous random variables.
By using.02 level of significance, carry out a 5-step hypothesis testing procedure to find out if new processes considerably reduced the wait time.
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