Answer:
monthly data series in a GDP
Explanation:
A GDP is defined as the actual domestically manufactured or produced products or the services provided in a financial year which describes or estimates the financial status or economic status of a country. GDP stands for Gross domestic product.
By analyzing the monthly data series of goods or services produced one can predict the real GDP of a country to be. One can use the monthly observations of the employment, unit auto as well as truck sales, sousing starts, retail sales, trade, automobile inventories, manufacturing, shipment of machinery and equipment, index of the industrial production, etc. to predict the GDP growth or get an idea of the GDP figures that are going to show the robust growth of the economy.
Answer:
Option (A) is correct.
Explanation:
Given that,
Mean daily demand, M = 20 calculators per day
Standard deviation, SD = 4 calculators per day
Lead time for this calculator, L = 9 days
z-critical value (for 95% in-stock probability) = 1.65 (From z tables)
Normal consumption during lead-time:
= Mean daily demand × Lead time
= 20 × 9
= 180 units of calculator
Safety Stock = z value × SD × L^(0.5)
= 1.65 × 4 × (9)^(0.5)
= 1.65 × 4 × 3
= 19.8 units
Reorder Point = Normal consumption during lead-time + Safety Stock
= 180 units + 19.8 units
= 199.8 or 200 units (Approx)
Answer:
Because market economies want to make money
This website would not exist. Social lives would improve because everyone would actually hang out with people. We would not be able to get places fast because cars would not be developed.
Answer:
C
Explanation:
D / V = 1000 / 4000
Dividing 1000 by 4000 gives 0.25 = 25%
E / V = 3000 / 4000
Dividing 3000 by 4000 gives 0.75 = 75%
