Answer: Digital marketing
Explanation: Digital marketing is the element of research and administration of satisfying consumers’ needs and wants which uses digital technologies centered on online and internet to promote goods and services.
Push dynamic in digital marketing refers to a circumstance whereby a dealer promotes or pushes its commodity to obtain customers’ attention who probably wasn't looking for it while pull dynamic in marketing is the situation whereby the firm reaches customers that have already exhibited an interest in the commodity or message about it.
Answer: No interest will be paid
Explanation:
Once full payment is made before the due repayment date on credit card, interest is not charged.
Answer:
The numbers are missing, so I looked for a similar question (see attached image).
- the expected value for option A (modernize everything) = (0.5 x $90,000) + (0.5 x $25,000) = $57,500
- the expected value for option B (modernize only second floor) = (0.4 x $80,000) + (0.6 x $70,000) = $74,000
- the expected value for option C (do nothing) = (0.3 x $60,000) + (0.7 x $33,000) = $41,100
The option with the highest expected value is option B (modernize only second floor).
Answer:
Manufacturing overhead volume variance= $1,200 unfavorable
Explanation:
<u>First, we need to calculate the predetermined overhead rate:</u>
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Predetermined manufacturing overhead rate= total estimated overhead costs for the period/ total amount of allocation base
Fixed Predetermined manufacturing overhead rate= 1,200,000/240,000
Fixed Predetermined manufacturing overhead rate= $5 per machine hour
<u>Now, to calculate the fixed manufacturing overhead volume variance, we need to use the following formula:</u>
<u></u>
Manufacturing overhead volume variance = Actual Factory Overhead - Budgeted Allowance Based on Standard Hours
Manufacturing overhead volume variance= (101,200) - (5*20,000)
Manufacturing overhead volume variance= $1,200 unfavorable
Answer:
C : Tables
Explanation:
Tables represent the simplest way to organize data to display details of specific contents. In tables data is represented in rows and columns. Rows represent each data or data category. Columns are used for displaying features of each data, like sex, age, income level, etc.
