January |
February |
March |
April |
May |
June |
0.90 |
0.87 |
0.95 |
0.93 |
1.00 |
1.04 |
July |
August |
September |
October |
November |
December |
1.05 |
1.10 |
1.12 |
1.02 |
1.03 |
0.99 |
(a) The seasonal index of 1.12 (or 112%) would indicate that that season had 12% more than the seasonal average.
(b)
Forecast |
19.53 |
19.76 |
19.99 |
20.22 |
20.45 |
20.68 |
The following table presents monthly seasonal indexes for the cost of a bushel of grapefruits in...
chapter 2 introductions to agricultural economics question 16 verify the calculations associated with the output and price indices in table 2-1? this this the full questions to the homework dices provide a straightforward way to make comparisons. O by 5% relative to 2000. So, in Price farm Table 2-1 Price Index (Base Year 2000) OUTPUT AND PRICE INDICES FOR MILK, 1995 TO 2015 Milk Production Output Index (Million Pounds) (Base Year 2000) All Milk Price Year (S/cwt) 1995 155,292 0.93...
4. The following table shows unit costs across different countries: Economy Footwear Textiles Clothing Metal Products Wood Products Rubber Products Plastic Electrical Products Machinery Egypt NA 1.50 0.50 0.85 0.48 1.50 1.23 0.93 India 0.99 1.01 0.49 0.97 0.91 0.88 0.88 0.85 Indonesia 0.85 0.47 0.95 0.55 0.53 0.72 0.64 0.76 Kenya 1.13 1.61 1.17 0.91 1.20 0.61 0.63 0.55 Malaysia 1.08 0.73 1.42 0.83 0.85 0.76 0.92 0.97 Mexico 1.62 0.96 1.20 0.76 0.76 0.96 0.83 0.83 Philippines 1.36...
bug fix of python here's the program: import binascii file = open("nibbles.txt", "r") count = 1 bytes = "" message = "" for i, line in enumerate(file): startIndex = line.index('(') endIndex = line.index(')') co = line[startIndex:endIndex+1] # (-1.35, 2.30) coordinates = line[startIndex+1:endIndex] # -1.35, 2.30 comma = coordinates.index(',') iVoltage = coordinates[0:comma] iv = float(iVoltage) qVoltage = coordinates[comma+2:] qv = float(qVoltage) if iv >= 0 and iv <= 2 and qv >= 0 and qv <= 2: point = "1101"...
Suppose 1000 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. Exactly 495 heads Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. The probability of getting exactly 495...
Suppose 16 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. More than 11 tails. Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. Binomial probability = (Round to...
find v belt drive design power select belt type determine shive size (belt speed 4000 ft/min) find shive size from power rating figure find rated power find estimated centre distance find belt length (by selecting standard belt length) calculate actual centre distance find contact angle for small shieve determine correct factors calculate correct power per belt no. of belt needed V-Belt Designing Sample Problem . Given: A 4 cylinder diesel engine runs at 80 hp, 1800 rpm, to drive a...