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Beverly Ann Cosmetics has created two new perfumes: Summer Passion and Ocean Breeze. It costs $5.25 to purchase the fragrance needed for each bottle of Summer Passion and $4.70 for each bottle of Ocean Breeze. The marketing department has stated that at least 30% but no more than 70% of the product mix be Summer Passion; the forecasted monthly demand is 7,000 bottles and is estimated to increase by 8 bottles for each $1 spent on advertising. Summer Passion sells for $42.00 per bottle and Ocean Breeze, for $30.00 per bottle. The forecasted monthly demand for Ocean Breeze is 12,000 bottles and is estimated to increase by 15 bottles for each $1 spent on advertising. A monthly budget of $100,000 is available for both advertising and purchase of the fragrances. Develop and solve a linear optimization model to determine how much of each type of perfume should be produced to maximize the net profit.
A sample of n observations is taken from a population. When performing statistical inference about a population variance, the appropriate chi-square distribution has:
Use the least-squares method to compute the regression of coefficients b0 and b1.
What is the probability that the first and the last ones on the EP are the relationship songs?
At the 0.05 level of significance, is there evidence of a significant relationship between the age groups and where people primarily get their news? If so explain the relationship.
Set up hypotheses and test to find out whether or not population variance is larger than $100.
Eighty-eight shoppers were interviewed at random, and 59 said that they prefer to shop alone.
Utilizing your charts stated whether the filling operation has been in control for every of the 18 operating hours this day.
A sample of 100 observations has a mean of 2.99 and a standard deviation s equal to 0.5 Conduct the following test of hypotheses about the corresponding population mean at a level of significance of α = 0.2
The sample data are summarized by the statistics n = 27, x = 4.6 years, s- 1.9 years.
The project requires you forecast the historical data, replicating the appropriate trends, seasonalities, week-over-week variability, etc. Please refer to the chapter and materials on Forecasting for the procedures to do.
Calculate a 3-period moving average for period 7. Compute the MAD of the forecast.
For what proportion of patients will drug be effective for between 2 and 2.25 hours?
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