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A company has to decide whether to develop a new product, Prototype A, or the existing Product B. After discussions, it was agreed that the following scoring model would be helpful:
a. Using an appropriate method, evaluate the model and indicate whether your results support the case for developing a new product Prototype A or developing the existing Product B.
b. It has been agreed that the last two factors are of more importance. Evaluate the model again, but this time give 'product life expectancy' a weighting of three and 'expected returns' a weighting of two. Comment on your results.
The following data represent the daily number of visitors to a small craft shop in Yackandandah. The data were collected over a 16 day period and are ordered numerically (not chronologically).
Determine the standard error of estimate. About 95% of the residuals will be between what two values? Determine the coefficient of multiple determination
In other words, if X is a random variable giving the location of the breakdown, measured, say, from Hangtown, and b gives the location of the garage, what choice of b minimizes E(|X - b|)?
a random sample of 144 observations has a mean of 20 a median of 21 and a mode of 22. the population standard deviation
The Rankine Temperature Scale is the absolute scale relative to Fahrenheit. If a temperature in an experiment is reported as 680±20ºR, what is the corresponding recording (including error) in ºC
statistics - degrees of freedom independent two sample test?a independent two-sample test with n134 and n242 would have
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many educators feel their grades should fit a normal distribution and often apply curves to make them fit one. one way
in a small city approximately 31 of those eligible are called for jury duty in any one calendar year. people are
question consider the following two designs for a 28-3 fractional factorial design.design inbsp design
Perform exploratory data analysis on all variables in the data set. Realizing that you have six groups, be sure that your exploratory analysis is broken down by group. When possible, include appropriate graphs to help illustrate the dataset.
a linear regression was done to relate systolic blood pressure to weight measured in pounds. the resulting regression
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