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The dataset Length.jmp contains a simple random sample of 50 stainless steel sheet metal screw from Crown Bolt, Inc., and the length of each is measured using a vernier caliper. Assume that the standard deviation of all such lengths is 0.12 in. Use a .05 significance level to test the claim that the screws have a mean length different from ¾ in, as indicated on the package labels. Do the lengths appear to be consistent with the package label? How can you tell? Write a brief paragraph to summarize your findings
According to news reports, Las Vegas betting parlors increased the number of proposition (prop) bets available to gamblers for this year's Super Bowl (Example: Which team will be the first to suspend a starting player for a team rules violation?).
An entrepreneur is considering the purchase of a coin-operated laundry. The present owner claims that over the past 5 years, the average daily revenue was $675 with a standard deviation of $75.
Give a brief description of a real-world example in which one measure of central tendency provides useful information while another measure of central tendency provides meaningless (or even misleading) information.
There are three types of bread, three types of meat, three types of cheese, and four types of topping. How many different sandwiches can the restaurant make?
A U.S. Travel Data Center survey of 1500 adults found that 42% of respondents stated that they favor historical sites as vacations. Find the 99% confidence interval of the true proportion of adults who favor visiting historical sites as vacations.
In a survey about soft drinks it was found that 5% of the respondents like diet soft drinks. 12% of them liked the brand Coke. Of all the Diet soda drinkers 40% liked Coke.
In your own words, define epistemology and ontology. Why are these concepts important to the study of research? How might the concepts influence your future research?
At a probability of type 1 error of 0.05, test the claim that the assistant professors earn more than $42000 per year. the standard deviation of the population is $5230.
At 5% level of significance, does this sample prove violation of guideline that average patient must pay no more than $250 out of pocket?
Let's treat race of offenders as the independent variable and race of victims as the dependent variable. If we first ignore the independent variable and try to predict race of victim, how many errors will we make?
A 'good' correlation is data-context driven. For example, I did a project correlating sales volume per state and customer demographics (pretty 'hard' data) and got a .92 correlation.
With what degree of confidance can we state that the average weekly salary for all teachers in this area is between $487 and /4517.
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