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On eight Friday quizzes, Bob received scores of 80, 85, 95, 92, 89, 84, 90, 92. He tells Prof. Hardtack that he is really a 90+ performer but this sample just happened to fall below his true performance level. (a) State an appropriate pair of hypotheses. (b) State the formula for the test statistic and show your decision rule using the 1 percent level of significance. (c) Carry out the test. Show your work. (d) What assumptions are required?
When is it best to use either of them? What types of variables can you apply them to, how many variables can each encompass, and which can be employed for a prediction of a new observation?
What are the assumptions and requirements for an LP model to be formulated and used? Under what conditions will an LP problem: be unbounded? be infeasible? have more than one optimal solution?
A manufacturer claims that the mean lifetime,M , of its light bulbs is 51 months. The standard deviation of these lifetimes is 9 months. Ninety bulbs are selected at random, and their mean lifetime is found to be 53 months.
what statement should be made about the null and alternative hypothesis based on sample data and significance level?
The Restaurants McBurger says that the waiting time for customers is 3 minutes with a standard deviation of population 1 minute. The quality control department found in a sample of 50 clients that the average waiting time was 2.75 minutes.
It has been said that from the point of view of the general population, Type I errors are particularly undesirable. This has been used as a justification for setting alpha at such low levels as .05 and .01.
Ms. Lisa Monnin is the budget director for the New Process Company. She would like to compare the daily travel expenses for the sales staff and the audit staff. She collected the following sample information.
Use the given confidence level and sample data to find a confidence interval for estimating the population mean
Determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.
Provide an example of two of the laws of exponents. Explain how to simplify them. Tell how do the laws work with rational exponents and then provide a third example to simplify that includes a rational (fractional) exponent.
Suppose that you are conducting a survey of customer satisfaction regarding their cellular phone. If you called 11 households at random, what is the probability that every household has a cellular telephone?
Suppose that 55 percent of the people in a population of 500,000 support your candidate. If you conduct a poll of 1,000 people, what is the interval that has a 95 percent chance of containing the results of your poll?
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