Answer:
$31,000
Explanation:
decrease in accounts receivable = $1,000
Sales = $30,000
Cash collected from customers = Sales plus decrease in accounts receivables
= $30,000 + $1000
= $31,000
The decrease in account receivables represents the collection of cash from a customer. If sales amount to $30,000, all must have been collected in cash hence no amount was outstanding to increase receivables. Hence the addition of the two items gives the cash collected from customers.
Answer: (b) -3.08
Explanation:
The relationship between the demand(q), price per unit product(p) and the disposable income,yd is given by the expression below;
q= 20ln(7yd-2p).
From the expression above, the marginal demand,
∂ q/∂ p is the differential of the equation of relationship between the demand, price and disposable income.
This involves considering the demand,q as the dependent variable and the price per unit product,p as the independent variable and the disposable income,yd is considered constant.
Therefore ,
∂ q/∂ p= (-40)÷(7yd-2p)
By substitution of
yd =$3000÷1000= $3
and p= $4
∂ q/∂ p= (-40)÷((7×$3)-(2×$4))
∂ q/∂ p= -40÷13= 3.08
Please see the attachment for knowledge on how ∂ q/∂ p was obtained.
Answer:
The hold is that the $100 won't go in.
Explanation:
Answer:
0.2
Explanation:
The Probability distribution is the function which describes the likelihood of possible values assuming a random variable. The 10% of the items from the production line are assumed to be defective. There is a sample selection of 2 items. The probability that one of the item among the selected sample of two items is found defective is 0.2 (2 items sample *10%)
Answer:
Availability.
Explanation:
This is explained as the ability to process information that comes to the mind immediately trying to think lesser or neglect that which is not yet in mind. That was what Dave, could not phatom in the above description. This phenomenon ends up making people often judge the likelihood of an event, or frequency of its occurrence subtly with which instances and scenarios come easily to mind.
In business dealings for example, an over-estimation can be the likelihood of attacks by sharks or list accidents. Also, some smokers may see one elderly heavy smoker and exaggerate the likely healthy life expectancy of this group.