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Llana [10]
3 years ago
9

If he devotes all of his available resources to cantaloupe production, a farmer can produce 120 cantaloupes. If he sacrifices 1.

5 watermelons for each cantaloupe that he produces, it follows that:
a. If he devotes all of his available resources to watermelon production, then he can produce 80 watermelons.
b. He cannot have comparative advantage over other farmers in producing cantaloupes.
c. His opportunity cost of one watermelon is 2/3 of a cantaloupe.
d. His production possibilities frontier is bowed-out.

In a recession, the trade balance often improve because:

a. Service exports exceed manufactured good exports
b. Banks sell depressed assets
c. Fewer households can afford luxury imports
d. The capital account exceeds the current account
Mathematics
2 answers:
sp2606 [1]3 years ago
8 0

Answer:

C. His opportunity cost of one watermelon is 2/3 of a cantaloupe.

c. Fewer households can afford luxury imports

Step-by-step explanation: Opportunity Cost is an economic term used to describe the benefits or profits which a person or an investor gives up in order to make choice between alternatives.

Recession is a term used in economics to refer a state of decline in the general productive economic activities of a country or an economy, it is also the state of an economy where the Gross domestic product (GDP) growth is in the negative.

Lelechka [254]3 years ago
5 0

Answer:

C. His opportunity cost of one watermelon is 2/3 of a cantaloupe.

c. Fewer households can afford luxury imports

Step-by-step explanation:

Opportunity cost is the profit lost when one alternative is selected over another. The concept is useful simply as a reminder to examine all reasonable alternatives before making a decision. If he dicides to sacrifice one watermelon for 2/3 of a cantaloupe that is the profit lost over that alternative.

Recession is a state of decline in the general productive economic activities of a country or an economy, it is also the state of an economy people buying fewer luxury imports allows their money to stay in their economy and could improve trade balance

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The net of a rectangular prism is shown.
Natali [406]
It should be D. Because the equation is 2(width+ height + length

6 0
3 years ago
n 2018, homes in East Baton Rouge (EBR) Parish sold for an average of $239,000. You take a random sample of homes in Ascension p
Olenka [21]

Answer:

Conclusion

   There is no sufficient evidence to conclude that the mean of the home prices from Ascension parish is higher than the EBR mean

Step-by-step explanation:

From the question we are told that

   The population mean for EBR is  \mu_ 1  = \$239,000

    The sample mean for Ascension parish  is \= x_2  = \$246,000

   The  p-value  is  p-value  =  0.045

     The level of significance is  \alpha = 0.01

The null hypothesis is  H_o : \mu_2  = \mu_1

The  alternative hypothesis is  H_a  :  \mu_2 > \mu_1

Here \mu_2 is the population mean for Ascension parish

   From the data given values we see that  

          p-value  >  \alpha

So we fail to reject the null hypothesis

So we conclude that there is no sufficient evidence to conclude that the mean of the home prices from Ascension parish is higher than the EBR mean

3 0
3 years ago
The following absolute value inequality is an example of a conjunction.
umka2103 [35]
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7 0
3 years ago
Helppp ..
leva [86]

Answer:

h(x) =  3(x - 5)^2 + 6.

Step-by-step explanation:

g(x) = 3x^2 + 8

Shifting 5 units to the right gives:

3(x - 5)^2 + 8

Now 2 units down :

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= 3(x - 5)^2 + 6.

5 0
2 years ago
Read 2 more answers
You previously found the mean of this data set. Use that in answering the question. 63, 89, 92, 73, 79, 72, 34, 36, 94, 21, 25,
kicyunya [14]

Answer:

Sum of squares of differences = 11239.74

Step-by-step explanation:

We are given the following data set:

63, 89, 92, 73, 79, 72, 34, 36, 94, 21, 25, 93, 22, 90, 79

We have to calculate the sum of square of the data set.

Formula:

\text{Sum of square of differences} = \sum (x_i -\bar{x})^2

where x_i are data points, \bar{x} is the mean and n is the number of observations.  

Mean = \displaystyle\frac{\text{Sum of all observations}}{\text{Total number of observation}}

Mean =\displaystyle\frac{962}{15} = 64.13

Sum of squares of differences =

1.284444444 + 618.3511113 + 776.5511113 + 78.61777778 + 221.0177779 + 61.88444445 + 908.0177776 + 791.4844443 + 892.017778 + 1860.484444 + 1531.417778 + 833.2844446 + 1775.217777 + 669.0844446 + 221.0177779

= 11239.74

3 0
3 years ago
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