part-time or full-time. Another question asked whether the student was a transfer student. The results follow. Transfer Non-Transfer Row Totals Part-Time Full-Time 100 170 110 120 230 210 290 500 Column Totals 270 a) If a student is selected at random (from this group of 500 students)‚ find the probability that the student is a transfer student. P (Transfer) b) If
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expanding the workforce. At that time he asked the call desk to record the actual calls for each of the next 40 days. The data to respond to the questions below are provided in the Office worksheet. Define the random variable x as the number of service calls per day. Clearly x is a discrete random variable. a. 3 points: Use built-in Excel functions to find the minimum and maximum values of x. That is‚ find the minimum number and maximum number of service calls per day over the 40 day period. • Place the minimum
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costs at the original budgeted activity level. True False 3. The overhead spending variance and the overhead efficiency variance are useful only if variable overhead really should be proportional to the activity measure that is being used in the flexible budget. True False 4. The variable overhead efficiency variance reflects how efficiently variable overhead resources were used. True False 5. A reason for keeping a constant denominator activity level is to maintain stability in the amount of
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Homework 4.3 #21 43% of adults in the US receive fewer than 5 phone calls a day. In a random sample of 7 adults‚ what is the probability that the number receiving fewer than five calls a day is (a) exactly 3 (b) at least 3 (c) more than 3? n p 7 0.43 x P(Exactly x) P(At most x) P(At least x) 0 0.0195 0.0195 1.0000 1 0.1032 0.1228 0.9805 2 0.2336 0.3564 0.8772 3 0.2937 0.6502 0.6436 4 0.2216 0.8718 0.3498 5 0.1003 0.9721 0.1282 6 0.0252 0.9973 0.0279 7 0.0027 1.0000 0.0027
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using an average variable cost function of the form. AVC= a + bQ+ cQ^2 (the 2 is suppose to be exponent) Where AVC=dollars per vacuum cleaner and Q=number of vacuum cleaners produced each month. Total fixed cost each month is $180‚000. The following results were obtained: Dependent Variable:AVC R-Square F-Ratio P-Value on F Observations:19 0.7360 39.428 0.0001 Variable
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SIMULATION AND MODELING 1. Generate 20 random numbers and solve the following integrals by monte-carlo (i) (ii) 2. A piece of equipment contains four identical tubes and can function only if all the four are in working order. The lives of tubes has approximately uniform distribution from 1000 to 2000 hours. The current maintenance practice is to replace a tube when it fails. Equipments has to be shut down for 1 hr for replacing a tube‚ the cost of one tube is sh 100‚ while the shut down time
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TOPIC : 4.1 TITLE :ECOLOGICAL SAMPLING (RANDOM QUADRAT SAMPLING) NAME : NADIA DEANA BINTI MAIDEEN CLASS : M14D DATE : 24 JULY 2014 RESEARCH QUESTION: How does the presence and absence of sunlight in different locations effect the growth of Mimosa Pudica species? METHOD: The survey area is at a open field. 1.Using a tape measure‚ a square of 10 m each side is marked and a stake is driven into the ground at each corner. 2.A string is looped around each of the four stakes to mark the boundaries
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CHAPTER 12 PRICING DECISIONS AND COST MANAGEMENT 12-1 The three major influences on pricing decisions are 1. Customers 2. Competitors 3. Costs 12-2 Not necessarily. For a one-time-only special order‚ the relevant costs are only those costs that will change as a result of accepting the order. In this case‚ full product costs will rarely be relevant. It is more likely that full product costs will be relevant costs for long-run pricing decisions. 12-3 Two examples of pricing decisions with
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Time Between Emergency Calls (hr.) Probability 1 0.05 2 0.10 3 0.30 4 0.30 5 0.20 6 0.05 1.00 a. Simulate the emergency calls for 3 days (note that this will require a “running”‚ or cumulative‚ hourly clock)‚ using the random number table. b. Compute the average time between calls and compare this value with the expected value of the time between calls from the probability distribution. Why are the results different? 2. The time between arrivals of cars at the
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has a mean of 120 calls per hour. What is the probability of no calls in a one-minute interval? .1353 2. A school is sending 18 children to a camp. If 15% of the children in the school are first graders‚ and the 18 children are selected at random from among all 6 grades at the school‚ find the mean and variance of the number of first graders chosen? The mean is 2.7‚ and the variance is 2.3. n = 18 p = .15 q = .85 Mean = np = 18 x .15 = 2.7 Variance = npq = (18 x .15 x .85) =
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