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A technician services machines of companies operating in the Phoenix Area. Depending on the type of malfunction, the service call can take exactly 1,2,3,4 hours. The different types of malfunctions occur at the same frequency. Develop a probability distribution for the duration of a service call. Duration of call (x) f(x) 1 2 3 4 What is the probability that a service call will take three hours? What is the probability that a service call will take more than 2 hours?
Suppose the number of tickets written per day follows a Poisson distribution with a mean of 6.5 tickets per day. Interpret the value of the mean. The mean has no interpretation since 0.5 ticket can never be written.
Critically illustrate out the aim and obejectives of factor analysis? Critically illustrate out the aim and obejectives of Cluster analysis? Critically illustrate out the aim and obejectives of Multidimensional analysis?
Under what circumstances must a nonparametric test be used? Explain. What are the strengths and weaknesses of nonparametric tests?
Income Trevor is interested in purchasing the local hardware/sporting goods store in the small town of Dove Creek, Montana.
Suppose that, for a t test, your computed value for t is +3.28. The critical value of t is +2.048. Explain what this means. Do you reject the null hypothesis or not?
Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?
What is the probability that: The amount requested is $80,000 or more?
The following ANOVA summary data are the result of a regression with sales per year (dependent variable) as a function of promotion expenditures per year (independent variable) for a toy company.
What are some real life examples of the use of Chi-Square tests using contingency tables? Why is a test, which is testing significant differences among means called Analysis of Variance?
Let the following linear programming problem: Determine the optimal solution to this problem. Convert this problem standard LP form.
Computing from a large sample, one finds the 95% confidence interval for 956; to be {6.8, 14.2}. Based on this information alone, determine the 90% confidence interval for 956
Calculate the paired sample t statistic for these mood scores and How has the relation between the mean and the median changed? What does this suggest about the distribution of the transformed data?
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