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A recent poll of 700 people who work indoors found that 278 smoke. If the researchers want to be 98% confident of their results to within 3.5 percentage points, how large a sample is necessary?
A sample of 70 orders revealed that 57 were delivered in promised time. At .02 significance level, can we conclude that less than 87 percent of orders are delivered in less than 10 minutes?
The breaking strengths of cables produced by a certain manufacturer have a standard deviation of 82 pounds. A random sample of 150 newly manufactured cables has a mean breaking strength of 1950 pounds.
The following data resulted from a taste test of two different chocolate bars. The first number is a rating of the taste, which could range from 0 to 5, with a 5 indicating the person liked the taste.
Create a 99% confidence interval estimate of population mean amount of paint included in a 1 gallon can.
Completion of today's paper. If X denotes the number of papers belonging to seniors among those checked, will X have a binomial distributuin?
Using your knowledge of infectious disease epidemiology, quantify the pattern of disease X in this group, i.e., what are the infectivity, pathogenicity, and virulence of disease X?
Determine the following: the three different types of shows you want to compare; the mood you will measure and how you will measure it; what you think will happen-how you think each group will score on the mood measure you use.
If a sample of 800 homes sold in 2004 is obtained what is the probability that between 175 & 200 homes are going to be investment?
Computing the Z scores for the given data and evaluate µ and σ for the population.
Families in the USA have a monthly magazine that discusses issues related to health and health costs. After surveying 23 of their subscribers
Compare the standard deviation for the heights of males and the standard deviation for the heights of females in the class. Compare the values and explain what can be concluded based on the numbers.
From the following information for Alfred Industries compute the overhead spending variance and the volume variance:
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