Product bundling refers to: a complete package of related products.
Correct answer:C
It is a marketing strategy in which multiple products or components are packaged together into one bundled solution and are sold that way. <span> Product bundling is common in telecommunications services, financial services, health care...</span>
Answer:
Full question: <em>On their birthdays, employees at a large company are permitted to take a 60-minute lunch break instead of the usual 30 minutes. Data were obtained from 10 randomly selected company employees on the amount of time that each actually took for lunch on his or her birthday. The company wishes to investigate whether these data provide convincing evidence that the mean time is greater than 60 minutes. Of the following, which information would NOT be expected to be a part of the process of correctly conducting a hypothesis test to investigate the question, at the 0.05 level of significance?</em>
<em>Answe</em><em>r: Since that the p-value is greater than 0.05, rejecting the null hypothesis and concluding that the mean time was not greater than 60 minutes. </em>
Explanation:
<em>From the given question let us recall the following statements:</em>
<em>Employees at a large company are permitted to take a 60-minute Lunch break instead of the 30 minutes.</em>
<em>Data was gotten from = 10 randomly selected company employees on the amount of time that each actually took for lunch on his or her birthday</em>
<em>Given that the p-value is greater than 0.05, rejecting the null hypothesis and concluding that the mean time was not greater than 60 minutes.</em>
<em>The company tries to investigate the data to know that the mean is greater than 60 minutes</em>
<em>the next step is to find the process of correctly conducting a hypothesis test to investigate the question, at the 0.05 level of significance</em>
<em>Therefore,</em>
<em>Since that the p-value is greater than 0.05, rejecting the null hypothesis and concluding that the mean time was not greater than 60 minutes. </em>
<em>Or</em>
<em>The P-value> 0.05</em>
<em>The mean time is not greater than 60 minutes</em>
Answer:
Account name statement(1) type of account(2)
Accounts payable BS CL
Accounts receivable BS CA
Accruals IS and BS income and SE
Accumulated amortization BS FA
administrative expenses IS E
Buildings BS FA
Cash BS CA
Common shares BS SE
Cost of goods sold IS E
Amortization BS E
Equipment BS F ASSET
General expenses IS E
Intrest expenses IS E
Account name Statement(1) type of account(2)
Inventories BS CA
Land BS FA
long term debts BS CL
Machinery BS FA
marketable securities BS CA
Line of credit BS LTD
operating expense IS E
Preferred shares BS SE
preferred share dividends BS SE
retained earnings BS R
Sales revenue IS R
Selling expense IS E
Taxes IS E
Vehicle BS FA
Answer:
opportunity cost of producing bananas = 2 pounds of apples per pound of bananas
Explanation:
production possibilities frontier (in pounds):
Apples Bananas
500 1,200
300 1,300
between the two points the production of bananas increases by 100 pounds, while the production of apples decreases by 200 pounds, so the opportunity cost of production bananas instead of apples = 200 pounds / 100 pounds = 2 pounds of apple per pound of bananas
Answer:
The correct answer is True.
Explanation:
The proper functioning, within the normal standards of a GIS, means that the information can reach the hands of the decision makers. The quality of the information that arrives, is based on other procedures and structures that are previously defined in the organizational strategy, and its processing depends on the specialization and differentiation of the positions within the organization; that is, the data selected and analyzed by the human resources department is different from the information selected and analyzed by other departments such as marketing, for example (differentiation is shown); but on the other hand, the level of analysis and depth that is given to the information will be variable depending on the specialists and the hierarchical levels within the same department; for example, the depth in the analysis of the data of who occupies the position of Human Resources Manager, and who occupies the position of human resources practitioner (specialization is revealed), therefore the experience and degree of specialization for the objectives of the department, are filters for data analysis.
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