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Q1) A sample of 3,014 steelworkers was chosen to determine if they will go on strike on Monday. Over 50% (actually 53.2%), of those in sample said they would go out on strike. As number sampled is large and those advocating a strike constitute over 50%, can we suppose that majority of all steelworkers favour a strike? (Assume sample is large sufficient and random and representative)
Q2) State magazine once published story saying that farmers lead other groups in consumption of alcohol. As evidence, it pointed to fact that rehabilitation centre located in rural part of state treated more farmers than any other occupational group for alcoholism. Do you agree? Explain why, or why not? Give explanation for your answer (suppose sample is large sufficient and random and representative)
Q3) According to U.S. Bureau of Census Current Construction Report, average price of a new mobile home in western part of United States during 1993 was $40,500. Suppose standard deviation was $8,500. Should mobile home selling for $75,000 be considered outlier? Describe why or why not.
Find out the mean to the nearest whole number, for the following list of numbers: 20, 43, 67, 52, 67, 44, 62, 90, 21, 19, 15
Compute the probability for the given frequency distribution.
Solve different inventory control problems using an appropriate OR method.
A radio station wants to know if residents in their area are in favor of a proposed tax increase. They invite listeners to call in to respond to the poll. 645 of the 800 who responded were against the tax.
Variance of 4.2 and mean of 23.2 were calculated. Find out 95% confidence interval on mean and standard deviation. Describe any potential problems with this analysis.
Suppose the assembly times follow normal distribution. Find out z values for 29 and 34 hours. What percent of garages take between 32 hours and 34 hours to erect?
What is the mean of this uniform distribution? What is the standard deviation?
It is impossible to get a negative value for an F -ratio.
What is the 95% confidence interval estimate for the difference between the mean reflectivity reading for Paint A and Paint B? Please complete the blank: "we can be 95% confident that the true difference between the actual means is?
Assume that p-value was 0.07, would you reject null hypothesis of equal mean rates for a Type- I error rate of 5%? (Circle one).
When we say we have confidence level of 95% what do you believe our "margin of error" is?
At 0.01 significance level is it sensible to conclude that modification reduced number of traffic accidents?
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