Answer:
The answer is below
Explanation:
The graph is attached below.
a) The price elasticity of demand is given by:
price elasticity of demand = 

Price of elasticity demand = 
Price of elasticity demand = 
Since the price of elasticity demand > 1, it is elastic
b) Price of elasticity demand = 
Since the price of elasticity demand = 1, it is unitary
c) Price of elasticity demand = 
Since the price of elasticity demand < 1, it is inelastic
Answer:
$6,000
Explanation:
When a company makes sales on account, debit accounts receivable and credit sales. Based on assessment, some or all of the receivables may be uncollectible.
To account for this, debit bad debit expense and credit allowance for doubtful debt. Should the debt become uncollectible (i.e go bad), debit allowance for doubtful debt and credit accounts receivable.
Since the Allowance for Doubtful Accounts has a credit balance of $1,200 before adjustment at December 31, 2016, the additional amount to be allowed
= $7200 - $1200
= $6000
This will be posted as
Debit Bad debt expense $6000
Credit Allowance for doubtful debt $6000
Answer:
a. -1.25
b. -1.25
Explanation:
Price elasticity is used to measure the change in demand as a result of a change in price.
Formula is;
= % change in Quantity/ % change in Price
a. Suppose the price increases from $1.00 to $1.50. The price elasticity of demand is:
% change in Quantity using the midpoint formula;

% Change in Price using midpoint formula

= -0.5/0.4
= -1.25
b. Suppose the price decreases from $1.50 to $1.00. The price elasticity of demand is:
% change in Quantity using the midpoint formula;

% Change in Price using midpoint formula

= 0.5/-0.4
= -1.25
Answer:
Explanation:
1. c. Return on total assets checked
d. Total asset turnover checked
2) b. Debt ratio
3) d. Working capital
4) c. Accounts receivable turnover checked
Answer: a. less than fully rational; behavioral biases
Explanation: Information processing errors consist of forecasting errors
, overconfidence and conservatism which can lead investors to misestimate the true probabilities of possible events or associated rates of return; and assuming information processing was perfect, individuals would tend to less-than-fully rational decisions due to behavioral biases as confirmed by several studies.