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A company manufactures three products: A, B and C by using three resources each unit of product X takes six man-hour twenty hour of machine capacity 2 cubic meter of storage place.
Similarly, one unit of product B takes ten man hour s and four machine hour on two cubic meter of storage place and that of each unit of product C is ten man hours, twelve machine hours and two cubic meter of storage place.
The profit contribution of products A,B and C are eight, ten and twelve birr respectively.
Formulate the linear programming problem.
calculate optimum quantities of products slacks and total profit and also conduct sensitivity analysis accordingly using simplest method ?
in a survey of 169 respondents say that they never use a credit card 1227 say that they use it sometimes and 2834 say
Suppose we wish to estimate the true population of HSB students who own cars. We randomly sample 100 HSB students and find 20 students own a car.
the sample variance 1.8 hours. If μ= 3.0, then calculate the observed value for the t-statistic. Construct 90% confidence interval for the mean.
How will you separate the effect of advertising on sales?
aj davis is a department store chain which has many credit customers and wants to find out more information about these
in a left-ailed test comparing two means with variances unknown but assumed to be equal the sample sizes were n1 8 and
Pearson Correlation cannot be used to identify non-linear relationships between two variables.
What are some of the flaws in this observational analysis? How might it be better designed and Explain why this is a good method
Find the confidence interval by estimating the population proportion
Do a complete regression analysis by performing the steps below. Note: No regression should be done when r is not significant. Draw a scatter plot. Compute the correlation coefficient.
Catalog spending. This realistic modeling project requires much more time than a typical exercise. Table 28.16 shows catalog-spending data for the first 9 of 200 randomly selected individuals from a very large (over 20,000 households) data base.18
Angry women, sad men. What are the relationships among the portrayal of anger or sadness, sex, and the degree of status conferred? Sixty-eight subjects were randomly assigned to view a videotaped interview in which either a male or a female profes..
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