Answer:
2.7
Explanation:
Calculation to Determine the asset turnover ratio
Using this formula
Asset Turnover = Sales/Average Total Assets
Let plug in the morning
Asset Turnover =$6,750,000/2,500,000
Asset Turnover =2.7
Therefore the asset turnover ratio is 2.7
Answer:
(C) doing both of the above
Explanation:
When dealers "make a market", they do so by providing liquidity in a market that may lack such. Liquidity measures the ease with which participants can buy and sell in a market. Thus, by making a market, a dealer buys stocks for inventory when investors want to sell, and sells stocks from inventory when investors want to buy.
Answer:
Objective function:
Maximize Z: 30P1 + 25P2 + 28P3
Subject to: 2.00P1 + 1.50P2 + 3.00P3 ≤ 450 (Department A constraint)
2.50P1 + 2.00P2 + P3 ≤ 350 (Department B constraint)
0.25P1 + 0.25P2 + 0.25P3 ≤ 50 (Department C constraint)
P1, P2, P3 ≥ 0 (Non-negativity)
Explanation:
The objective function is formulated from the contribution margin of the three products. For instance, the contribution of Product 1 is $30, the contribution of Product 2 is $25 and the contribution of Product 3 is $28. Thus, the objective function will be 30P1 + 25P2 + 28P3.
The constraints were obtained from the departmental labour hours requirements for each product. For instance, Product 1 requires 2 hours in department A, Product 2 requires 1.50 hours in department A and Product 3 requires 3 hours in Department A. Thus, the constraint will be 2.00P1 + 1.50P2 + 3.00P3.
Answer:
Correct option is (B)
Explanation:
Given:
Beginning capital = $80,000
Net income = $35,000
Drawings = $18,000
Net income is added to opening capital and deduct drawings to arrive at capital balance at the end.
Capital at the end of the year = opening capital + net income - drawings
= 80,000 + 35,000 - 18,000
= $97,000
Answer:
0.0139
Explanation:
Given that:
The number of sample (n) = 21
The sample distribution has mean (μ) and a standard deviation of σ/√n
The z score is given as (x - mean)/ standard deviation
x = 94.8 wpm, let us assume that σ = 10 and μ = 90
Therefore: z = (x - μ) / (σ/√n) = (94.8 - 90) / (10/√21) = 2.2
To calculate the probability using Z table:
P(X>94.8) = P(Z>94.8) = 1 - P(Z<94.8) = 1 - 0.9861 = 0.0139
The probability is low that is less than 0.05, the program is more effective than the old one.
