What changes occur in the Coefficients of a Nonbasic Variable when the original model is modified?
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What changes occur in the Coefficients of a Nonbasic Variable when the original model is modified?
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- Explain the kind of changes occur in the coefficient of a non variable while making changes in the orginal model ?4. ABC Dog Food Company located in Ottawa sells large bags of dog food to warehouse clubs. ABC uses an automatic filling process to fill the bags. Weights of the filled bags are approximately normally distributed with a mean of 50 kilograms and a standard deviation of 1.25 kilograms. (a) What is the probability that a filled bag will weigh less than 49.5 kilograms? (b) What is the probability that a randomly sampled filled bag will weigh between 48.5 and 51 kilograms? (c) What is the minimum weight a bag of dog food could be and remain in the top 15% of all bags filled? (d) ABC is unable to adjust the mean of the filling process. However, it is able to adjust the standard deviation of the filling process. What would the standard deviation need to be so that 2% of all filled bags weigh more than 52 kilograms?The output distribution form(s) of the input distribution(s) are generally fairly straightforward to predict (s). FALSE OR TRUE!!
- can you explain the concept about outputs of coNNNNONication with some martrix model with examples ?Z Pr(Z) 0.38 65 0.50 69 0.67 75 0.84 80 1.04 85 1.28 90 1.41 92 1.56 94 1.65 95 1.75 96 2.06 98 2.33 99 Barbara Flynn is in charge of maintaining hospital supplies at General Hospital. During the past year, the mean lead time demand for bandage BX-5 was 60 (and was normally distributed). Furthermore, the standard deviation for BX-5 was 6. Ms. Flynn would like to maintain a 90% service level. a) What safety stock level do you recommend for BX-5? Safety stock = units (round your response to the nearest whole number).A carpenter is making doors that are 2058 millimeters tall. If the doors are too long they must be trimmed, and if they are too short they cannot be used. A sample of 13 doors is made, and it is found that they have a mean of 2043 millimeters with a variance of 1024. Is there evidence at the 0.025 level that the doors are too short and unusable? State the null and alternative hypotheses for the above scenario.
- It is usually fairly straightforward to predict the shape of the output distribution from the shape(s) of the input distribution(s). TRUE OR FALSEIn year 2010, a saop manufacturer forecasts that demand of 2011 will be 200 lakhs of units of saop. Whereas the actual demand was 210 lakhs of saops , now using the smoothing constant choosen by the management of alpha is 0.30 , the manufacturer wants to forecast the 2012 demand using the exponential smoothing model , calculate the same .Find Values of n and cHi-Tech Industries manufactures Z-Band radar scanners used to detect speed traps. The printed circuit boards in the scanners are purchased from an outside vendor. The vendor produces the boards to an AQL of 2 percent defectives and is willing to run a 5 percent risk (α) of having lots of this level or fewer defectives rejected. Hi-Tech considers lots of 8 percent ormore defectives (LTPD) unacceptable and wants to ensure that it will accept such poor quality lots no more than 10 percent of the time (β). A large shipment has just been delivered. What values of n and c should be selected to determine the quality of this lot?
- From several years’ records, a fish market manager has determined that the weight of deep sea bream sold in the market (X), is approximately normally distributed with a mean of 500 grams and a standard deviation of 100 grams. Assuming this distribution will remain unchanged in the future, the expected proportions of deep sea bream sold over the next year weighing .(i) Between 300 grams and 400 grams is A. 0.1359 B. 0.4681 C. 0.5319 D. None of the options aboveIf two variables are highly correlated, does this imply that changes in one cause changes in the other? If not, give at least one example from the real world that illustrates what else could cause a high correlation.The manager of the local National Video Store sells videocassette recorders at discount prices. If the store does not have a video recorder in stock when a customer wants to buy one, it will lose the sale because the customer will purchase a recorder from one of the many local competitors. The problem is that the cost of renting warehouse space to keep enough recorders in inventory to meet all demand is excessively high. The manager has determined that if 90% of customer demand for recorders can be met, then the combined cost of lost sales and inventory will be minimized. The manager has estimated that monthly demand for recorders is normally distributed, with a mean of 180 recorders and a standard deviation of 60. Determine the number of recorders the manager should order each month to meet 90% of customer demand.