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Tomtit [17]
3 years ago
8

In computing the present value of the lease payments, the lessee should a.use both its incremental borrowing rate and the implic

it rate of the lessor, assuming that the implicit rate is less. b.use the implicit rate of the lessor, assuming that the implicit rate is known to the lessee. c.use its incremental borrowing rate in all cases. d.use the implicit rate if it is less than then lessee’s incremental borrowing rate.
Computers and Technology
1 answer:
JulijaS [17]3 years ago
6 0

Answer:

The answer is  "Option a"

Explanation:

This payment is equivalent to the regular rent formally specified by the same contract that grants the member the rights for a specified time. It used both the nominal lending rate and the lessor's conditional value,  which provides the lower implied rate, and wrong choices can be described as follows:

  • In option b, It is wrong because in this we assume the implicit rate is lessee.
  • Option c and Option d both were wrong because It doesn't use the Iterative credit rate.

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D) Checkbook register

Explanation:

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The first query is computationally less expensive than the second query. (Assume no indexes exist on release_date.) Query 1: SEL
sdas [7]

Answer:

false

Explanation:

The term 'computationally expensive' means that a given mathematical function, code or an algorithm has high computational complexity. In addition, the mathematical function or algorithm will require several steps and procedures to be completed. Based on this, the statement made in this question is not true.

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3 years ago
Write a program get_price.py with a function get_price() that takes a dictionary of fruits as an argument and returns the name o
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Answer:

The program is as follows:

def get_price(fruits):

   AllPrice = fruits.values()

   value_iterator = iter(AllPrice)

   mostExpensive = next(value_iterator)  

   for item in fruits:

       if fruits[item]>=mostExpensive:

           mostExpensive = fruits[item]

           fruitName = item

   print(fruitName)

fruits = {}

n = int(input("Number of Fruits: "))

for i in range(n):

   name = input("Fruit name: ")

   price = int(input("Fruit price: "))

   fruits[name] = price

get_price(fruits)

Explanation:

This defines the get_price function

def get_price(fruits):

This gets all price in the dictionary fruit

   AllPrice = fruits.values()

This passes the values to a value iterator

   value_iterator = iter(AllPrice)

This initializes mostExpensive to the first price in the dictionary

   mostExpensive = next(value_iterator)

This iterates through the elements of the dictionary  

   for item in fruits:

If current element is greater than or equals most expensive

       if fruits[item]>=mostExpensive:

Set most expensive to the current element

           mostExpensive = fruits[item]

Get the corresponding fruit name

           fruitName = item

Print fruit name

   print(fruitName)

The main begins here

This initializes the fruit dictionary

fruits = {}

This gets input for the number of fruits

n = int(input("Number of Fruits: "))

This is repeated for every inputs

for i in range(n):

Get fruit name

   name = input("Fruit name: ")

Get fruit price

   price = int(input("Fruit price: "))

Append name and price to dictionary

   fruits[name] = price

Call the get_price function

get_price(fruits)

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They help consumers identify the best product reviews from various sources.

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after a few weeks of using facial recognition login, your infrared camera fails, and you are asked to enter your pin. because it
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To learn more about TPM click here:

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