From all those aforementioned, the false statement <span>is: Electronic résumés are sent through traditional mail.</span> The answer to your question is B. I hope this is the answer that you are looking for and it comes to your help.
Answer:
C. consumers make their purchase decisions based on perceived value.
Explanation:
Consumer perceived value is the benefit of a product that the consumer receives by buying any specific goods or services. Perceived value is the satisfaction level of consumer that customer look in the product, rather than just paying for the product, therefore, the company need to work and develop their brand and value in the market. Cost does not define the value of the product, rather it is a satisfactory level of consumer that defines the value and price of product. Example; Customer does not pay for the software, however, they pay for the solution.
Answer:
c. $326,948
Explanation:
we must determine the market price of the bonds:
market price = PV of face value + PV of coupons
- PV of face value = $300,000 / (1 + 2%)¹⁰ = $246,104.49
- PV of coupons = $9,000 (coupons) x 8.9826 (PV annuity factor 2%, 10 periods) = $80,843.40
total market price = $326,947.89 ≈ $326,948
since the market rate is lower than the coupon rate, the bonds should be sold at a premium.
Answer:
The mean withdraw has increased during weekend.
Explanation:
Assume that the withdraw amounts are normal distributed. To test whether the mean withdrawal has increased during weekends, we take a z-test. The z-test is possible because the observed sample (weekend transactions) is greater than 30.
The null hypothesis (
) is when the mean withdrawal is greater than 550. The alternative hypothesis (
) is when the mean withdrawal is equal to 550 or smaller. At an alpha of 0.05% is selected with a two-tailed test, , there is 0.025% of the samples in each tail, and the alpha has a critical value of 1.96 or -1.96. If the z-value is greater than 1.96 or less than -1.96, the null hypothesis is rejected.
z-value = (600-550) / 70 / 36^(1/2) = 0.1190
At α=0.05, the z-value < 1.96 and > -1.96, the null hypothesis is not rejected. Therefore, the mean withdraw has increased during weekend.
Answer:
5,745 units
Explanation:
As we know that
Number of units produced = Estimated units sold + ending inventory units - beginning inventory units
= 5,700 units + 900 units - 855 units
= 5,745 units
We simply added the ending inventory units and deduct the beginning inventory units to the Estimated units sold so that the number of units produced could come.
