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The local preschool reported that it had 34% fewer accidents than the national average. The national average number of accidents reported by preschools is 5, with a standard deviation of 2.0. Use this information to answer the following questions:
What is the z score of the local county preschools?
Calculate the number of accidents of the local preschool (i.e. determine its "raw score").
for the binomial distribution with the given values for n and p state whether or not it is suitable to use the normal
What are the expected value and variance of Xi? Let Y = the sum of the outcomes of 3 die rolls. What is Yin terms of X,? Use the expected value and variance of Xi you found in a. to find the expected value and variance of Y.
To obtain an estimate, the attendant decides to ask the next 200 gasoline customers how many vehicles their households own.
for each of the following situations indicate whether anova is appropriate if not appropriate the reason why not and if
Based on this mean and standard deviation, what can you tell about the shape of the distribution of the variable number of answers changed from right to wrong? What can you say about the number of students who changed at least six answers from cor..
If the homoscedasticity assumption is violated, what effect might this have when computing confidence intervals as described in box 8.1?
Compare the answers obtained by using the normal and Poisson approximations to the binomial law.
A certain type of injury has tangible costs of $40,000 per occurrence and intangible costs of $150,000 per occurrence. Perform a cost/benefit analysis to weigh the benefits of the proposed safety glasses policy against its expected costs.
Referring to your answer in part a, what must the population mean be changed to if the probability of exceeding the value of x found in part a is reduced.
Develop a probability distribution for the number of students in the sample who watch soap operas.
Parameter Versus Statistic. In each of the following statements, identify the boldface number as the value of a population parameter or a sample statistic.
Assuming that the sample is sufficiently large, construct a 99.9% confidence interval for the proportion of all mortgages taken out in this region last year.
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