Suppose GetThere Airlines increases their ticket price to $200+10n = 10(20+n)$ dollars. Then the number of tickets they sell is $40,000-1000n = 1000(40-n)$ .<span> Therefore, their total revenue is
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$$10(20+n)\cdot 1000(40-n) = 10000(20+n)(40-n) = 10000(800+20n-n^2).$$
This is maximized when $n=-\left(\frac{20}{2\cdot(-1)}\right)=10$ .<span> Therefore, they should charge </span><span>$200+10\cdot 10 = \boxed{300}$</span><span> dollars per ticket.</span>
Answer:
Actual real after tax rate of return is 0.657%
Explanation:
Use fisher method to compute real return:
=0.00971 or 0.971%
Calculate after tax return as shown below:
Federal tax rate is 28% or 0.28 and state tax is 6% or 0.06.
After tax return = 0.00971×(1 - 0.28) ×(1 - 0.06)
= 0.00657 or 0.657%
Answer:
Sensory retailing.
Explanation:
If a gourmet cooking store encourages customers to sample fresh baked apple pie in order to encourage purchases of pie pans and rolling pins they are engaging in sensory retailing.
In marketing, sensory retailing can be defined as a strategic process which involves the creation of an atmosphere that attracts potential customers and has a positive influence or effect on them.
Generally, sensory retailing involves the process of appealing to the customer's taste, smell, sight, tactile, and olfactory senses, thus, affecting their perception, judgment and behavior positively.
<em>Hence, when properly designed, harnessed and applied, it boost purchasing behaviors, increases sales revenues, improve customer loyalty, and enhances good vibes or mood among end consumers</em>.
Answer:
D. All of these alternatives are correct.
Explanation:
Chi square distribution is the cumulative probablity distribution. It provide probablity of every possible value. Chi square distribution is depend on degree of freedom and degree of freedom is calculated by subtracting 1 from the number of category from the data collected. It is used to check goodness of fit of an observed data, the independence of two categorical variables, it is also used in hypothesis testing and confidence interval for population variance.
Answer:
20.1%
Explanation:
The computation of the simple rate of return is shown below;
= (operating cost - depreciation) ÷ (purchase of new machine - scrap value)
= ($145,500 - $50,500) ÷ ($505,000 - $35,000)
= ($94,500) ÷ ($470,000)
= 20.1%
hence, the simple rate of return is 20.1%
The same would be considered and relevant
