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Demands for an item are part of a poisson process and are made on a warehouse 3 times per day. What is the probability that on a given day this item is requested:
a) more than 4 times per day
b) more than 4 times in 3 days?
The professor gave the answers as:
a) 8.4%
b) 94.5%
In testing the difference between two means from two independent populations, the sample sizes do not have to be equal to be able to use the Z statistic.
Do these data suggest a statistically significance difference between the proportions of drug-resistant cases in the two states? Use a 0.02 level of significance and computed value of 2.37.
Hypothesis test for the difference between two means - To make the data comparable, certain features, such as the deductible amount and limits of liability, are standardized.
One group is given the new drug and the other group is given the standard drug. Data are recorded on the effects of each drug. Is the research division using dependent or independent samples? Why?
A function sometimes associated with a continuous nonnegative random variable is the failure rate (or hazard rate) function which is defined as:
You want to estimate today's mean temperature, so you make a series of measurements (taken as a sample) throughout the day. The mean of these measurements is 63 degrees Fahrenheit, and their standard deviation is 3.4 degrees Fahrenheit.
Evaluate the value of population proportion. Develop a 99% confidence interval for population proportion.
It has been claimed that women live longer than men; however, men tend to be older than their wives. Ages of sixteen husbands and wives from England were obtained. These data should be analyzed with a
What would be a good example of a null and alternative hypotheses for a decision relevant in life? What Type I and Type II errors could occur with your decision-making process?
A 95% confidence interval for the average difference between the two reaction times (traditional - LED) was (-171.37, 174.44). Which of the following is the appropriate conclusion?
A personnel manager for a large corporation feels that there may be a relationship between absenteeism and age and would like to use the age of a worker to develop a model to predict the number of days absent during a calendar year.
Relatively speaking, who performed better on the test, you, with an 86, or your friend? Why?
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