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An insurance company has gathered the following information regarding the number of accidents reported per day over a period of 100 days.
Accidents Per Day Number of Days ( f )0 151 312 203 154 135 46 2Use α = 0.10 to test if the above data have a Poisson distribution.
Complete the table and answer the following questions. Use the .05 significance level.
A random sample of n = 4 scores is selected from a population with µ = 80 and σ = 20. On average, how much difference would you expect between the sample mean and the population mean?
Determine the proportion of variation in grade that can be explained by the linear correlation between the grade and the number of credit hours earned at the same time of taking the course.
Do not forget to test for any applicable difference in means (Tukey implies).
Now compute the standard deviation for this distribution.
What maximum variance of the raw score population could you have and still be able to reject the null hypothesis of μ = 20 (α = .05), if the sample size is 100 and the sample mean is 22?
Z score on comparison distribution for sample score and your conclusion. Suppose that all population are normally distributed.
Using bar charts to compare observed frequencies between variables can be problematic when?
What percent of trucks logged more than 57,060 but less than 58,280 miles? What percent of Fords travelled 62,000 miles or less in the year?
This requires you evaluate the data (on the next sheet) and apply Queueing Theory to determine the characteristics of the queues. Please refer to the concept on Queuing Theory for the procedures to do.
A pharmaceutical company has developed a drug that is expected to reduce hunger. To test the drug, three samples of rats are selected with n=10 in each sample.
Using six-step critical value approach, at the 0.05 level of significance, is there evidence that population mean delivery time has been increased below previous population mean value of 25 minutes?
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