1. When does a fixed exchange rate regime become suspect of collapsing?

2.Bank runs are still a common problem in the United States

True

False

3.

Contagion of crises can stem from both trade and financial linkages

True

False

4. In lecture we likened speculative attack on central bank reserves to which of the following?

Question 5 Jeff runs an exclusive holiday resort. He charges RM 30,000 per annum. Kevin joined the holiday resort 2 month ago and he has paid the initial installment of RM15,000 and he has to pay subsequent installments in the last remaining few months of the year. A few days ago, the City Council made a spot check and found that the resort had poor safety features and revoked the license of the resort indefinitely. All members were not allowed to use the facilities in the resort. Kevin is now claiming back his RM15,000 that he paid. But Jeff refused to refund the initial installment stating that he has used the resort facilities and is also claiming the balance of the RM15,000. Advise Kevin. (Total : 20 marks)

Y1 Y2 X3 X4 X5 X6 X7

478 184 40 74 11 31 20

494 213 32 72 11 43 18

643 347 57 70 18 16 16

341 565 31 71 11 25 19

773 327 67 72 9 29 24

603 260 25 68 8 32 15

484 325 34 68 12 24 14

546 102 33 62 13 28 11

424 38 36 69 7 25 12

548 226 31 66 9 58 15

506 137 35 60 13 21 9

819 369 30 81 4 77 36

541 109 44 66 9 37 12

491 809 32 67 11 37 16

514 29 30 65 12 35 11

371 245 16 64 10 42 14

457 118 29 64 12 21 10

437 148 36 62 7 81 27

570 387 30 59 15 31 16

432 98 23 56 15 50 15

619 608 33 46 22 24 8

357 218 35 54 14 27 13

623 254 38 54 20 22 11

547 697 44 45 26 18 8

792 827 28 57 12 23 11

799 693 35 57 9 60 18

439 448 31 61 19 14 12

867 942 39 52 17 31 10

912 1017 27 44 21 24 9

462 216 36 43 18 23 8

859 673 38 48 19 22 10

805 989 46 57 14 25 12

652 630 29 47 19 25 9

776 404 32 50 19 21 9

919 692 39 48 16 32 11

732 1517 44 49 13 31 14

657 879 33 72 13 13 22

1419 631 43 59 14 21 13

989 1375 22 49 9 46 13

821 1139 30 54 13 27 12

1740 3545 86 62 22 18 15

815 706 30 47 17 39 11

760 451 32 45 34 15 10

936 433 43 48 26 23 12

863 601 20 69 23 7 12

783 1024 55 42 23 23 11

715 457 44 49 18 30 12

1504 1441 37 57 15 35 13

1324 1022 82 72 22 15 16

940 1244 66 67 26 18 16

Y1 = Total reported crimes per million inhabitants
Y2 = Crimes of violence reported per 100,000 inhabitants
X3 = Annual budget for the police dollars per capita
X4 =% of people 25 years old or older who finished high school
X5 =% of young people between 16 and 19 years old who do not attend high school nor have graduated from it.
X6 =% of young people between the ages of 18 and 24 who attend university
X7 =% of people with 25 years or more who achieved a 4-year university career

The attached Excel document presents the crime statistics in a city. Other important information about education is also presented.

The purpose of this exercise is to create two models of multiple linear regression where we try to predict

(1) Y1 using as predictors X3, X5, X6

(2)) Y2 using as predictors X3, X4, X7

In each case you need:

A. The model (all beta coefficients) and the interpretation of each coefficient.

B. How significant are each of the coefficients

C. The coefficient of determination of the model (R squared)

D. The interpretation of R squared

E. In case (a) predict: What will be the rate of total crimes reported per million inhabitants if $ 50 per year are assigned per capita to the police, there is a 10% of young people between 16 and 19 who do not attend the high school (they have not completed it) and there is 50% of young people between 18 and 24 years old who attend university.

F. In case (b) predict: How many crimes of violence will be reported if 20 dollars per capita per year are allocated to the police, 60% of people over 25 years old have finished high school and there are 5% of people 25 years or older who achieved a 4-year university career.

G. After doing all this analysis, draw practical conclusions about the findings made in this city.

H. If you are a counselor for the authorities in that city, please write a paragraph of recommendations to follow to try to reduce crime

You plan to withdraw $80,000 per year for 30 years after you retire at age 65. You are age 25 now and want to make one deposit at end of each year for 40 years then stop depositing after 40 deposits. To accumulate enough funds to afford the 30 withdrawals, you are presented with 2 options. First is an investment with 8% annual return and second one with 6% annual return. What is the difference between the annual deposit amount of the two options?

thirty-two persons have applied for a security guard position with a company of. them, seven have previous experience in this area and 25 do not. suppose one applicant is selected at random. consider the following two events: this applicant has previous experience, and this applicant does not have previous experience. if you were to find probabilities of these two events, would you use the classical or the relative frequency approach? explain why.

Many female undergraduates at four-year colleges switch from STEM majors into disciplines that are not science-based, thereby contributing to the underrepresentation of women in STEM fields. When female undergrads switch majors, are their reasons different from those of their male counterparts? This question was investigated in Science Education. A sample of 335 junior/senior undergraduates- 172 females and 163 males- at two large research universities were identified as “switchers”, that is they left a declared STEM major for a non-STEM major. Each student listed one or more factors that contributed to the switching decision.

(a) Of the 172 females in the sample, 74 listed lack or loss of interest in STEM (i.e., “turned off” by science) as a major factor, compared to 72 of the 163 males. Conduct a test (at α = .10) to determine whether the proportion of female switchers who give “lack of interest in STEM” as a major reason for switching differs from the corresponding proportion of males.

(b) Thirty–three of the 172 females in the sample indicated that they were discouraged or lost confidence because of low grades in STEM during their early years, compared to 44 of 163 males. Construct a 90 % confidence interval for the difference between the proportions of female and male switchers who lost confidence due to low grades in STEM. Interpret the result.

For this assignment, write a program that will generate three randomly sized sets of random numbers using DEV C++

To use the random number generator, first add a #include statement for the cstdlib library to the top of the program:

#include <cstdlib>

Next, initialize the random number generator. This is done by calling the srand function and passing in an integer value (known as a seed value). This should only be done ONE time and it MUST be done before actually getting a random number. A value of 1 (or any integer literal) will generate the same sequence of "random" numbers every time the program is executed. This can be useful for debugging:

srand(1);

To get a different series of random numbers each time the program is run, the actual time that the program is run can be passed as the seed value for the random number generator. This is done as follows:

srand(time(0));

If the time function is used, make sure to include the ctime library as well.

Note: the two srand instructions that are listed above are simple examples of how to use the instruction. In a program, only one version will be used.

Now that the random number generator has been initialized, a random number can be generated by calling the rand function:

num = rand();

The above line of C++ code will generate a "random" integer between 0 and RAND_MAX and saves the value in an integer variable named num. RAND_MAX is a pre-defined constant that is equal to the maximum possible random number. It is implementation dependent but is guaranteed to be at least 32,767.

Modulus division can be used to restrict the "random" integer to a smaller range:

num = rand() % 7;

will produce a value between 0 and 6. To change the range to 1 through 7, simply add 1:

num = rand() % 7 + 1;

To get random values that are within a specified range that starts at a value other than 0 or 1:

num = minimum_value + (rand() % (maximum_value - minimum_value + 1));

So, to get values within the range 3 - 17:

num = 3 + (rand() % (17 - 3 + 1));

Run 1 (using srand(5);) on Windows PC

There are 59 numbers in the first set of numbers.

 93 55 49 60 30 27 49 72 40 14 21 33 76 26  7 63  7 50 31 17
 92 93 11 36 49 52 83 22 31 51 69 59 10 53 15 22 87 83 34 86
  6 54 85 15 19 60 15 46 12 84  5 91 59 33 99 70  4 17 36

There are 235 numbers in the second set of numbers.

 66 38  1 36 10 89 90 93 51  6 35 50 68 46 82 75 35 82 60 53
 40  9 53 85 90 16 39 93 63 85 86 84 17 58 78 60 19 67 85  0
 26 71 80 74 78 85 43 73 33 29 39 56 61 75 92 83 55 86 19 66
 70 86 21 75 46 58 72  2 51 47 82 16 17 91 16 68 41 25  9 86
 51 33 67 89 61 46 73 82 24 91 49 43 54 27 32 72 76 96 16 97
 97  5 73 27 58 86 52 68  7 68 59 61 98  2 25 86 75 16 93 89
 32 82 68 74 21 71 20 67 94 58 30 70  0 72 24 95 86  8 87 36
 77 71 14 26 46  8 76  2 50 55 19 24 46 16 34 71 33 71 60 25
 58  5 93 11 86 34 72 32 33 80 42 30  0 10 38 58 67 98 45 26
 24 24 28 84 36 17  0  4 60 95 69 60 55 69 42 40 26 93 32 53
  0 28 64 74 75 17 30 72 30 54 48 37  8 39  4 44 65 81  5 43
 28 98 67 63 69 14 68 63 80 73 89 58 17 82 22

There are 205 numbers in the third set of values.

 81 40 35 33 69 58 56 79 66  0  2 24 65 35 50 84  7 26 85 35
 88 75 24 58 16 20 38 23 18  7 44 52 16 82 36 47 22 31 30 21
 78 59 54 88  0 17 90 81 87 73 59 58 60 94 49 92 22 29 81  1
 97 39 49 71 59 32 90 36 55 33 25 97 40 23 34 81 66 29 38 88
 35 88  2 55  5 45 44 94 34 83 26 91 16 85 10 64  1 66 28 96
 66 87 18 34 60 53 83 90 23 12 65 84 71 75 98 31 35  5 29 22
 72 51 22 37 38 51 62 26 56 12 23  1 22 27 76 85 34 61 92 48
 68 42 32 78 95 54  6 32 67 26 51 62 36 25 93 59 54 51 25 45
 15 54 55 73 19 51 24 36  2 79 19 97 23 66 91  5 91  1 27 20
 47 55 15 62 42 13 70 94 58 98 17  6 18 23 75 11 52 28 45 30
 89 95 32 95 49

Cycling Race:

Match Sprint (two racers; first one across the finish line wins)

Team Sprint (Three-person team... must cover the 1000m as fast as possible)

No one is making maximum power as they cross the finish line (in either event)... but for one of these examples, maximum force production is relatively more important? Which event and why?

What about peak power? Where is peak power achieved by the racers in the Match Sprint? What about for the people in the Team Sprint? You should think in terms of the length of the event (all are 1000m in length) ... where/what distance from the beginning or how far from the finish....?

Gorilla Golf has decided to sell a new line of golf clubs. The clubs will sell for $650 per set and have a variable cost of $320 per set. The company has spent $150,000 for a marketing study that determined the company will sell 55,000 sets per year for seven years, where seven years is the life of the project. The marketing study also determined that the company will lose sales of 13,000 sets per year of its high-priced clubs. The high-priced clubs sell at $1,100 and have variable costs of $600. The company will also increase sales of its cheap clubs by 10,000 sets per year. The cheap clubs sell for $400 and have variable costs of $180 per set. The fixed costs each year will be $7,500,000. The company has also spent $1,000,000 on research and development for the new clubs. The plant and equipment required will cost $18,200,000 and will be depreciated on a straight-line basis over the life of the project. The new clubs will also require an increase in net working capital of $950,000 that will be returned at the end of the project. The tax rate is 40 percent. Due to the extremely competitive and, therefore, risky nature of the golf club business the cost of capital is estimated to be 16 percent.

- the unit sales of the new clubs,
- the unit price of the new clubs,
- the unit variable cost of the new clubs,
- the fixed costs
- the unit sales lost of the high-priced clubs
- the unit sales gained of the cheap clubs

are only accurate to within ±10 percent.  What are the best-case and worst-case NPVs? (Hint: The price and variable costs for the two existing (high-priced and cheap) sets of clubs are known with certainty; only the high-priced and cheap club unit sales - gained or lost - are uncertain.  Be careful.  For example, you should realize that in a worst-case scenario, unit sales, unit price and sales gained are 10 percent lower, but fixed costs, unit costs and sales lost are 10 percent higher.  The opposite would be true in a best case scenario.  I cannot set this problem up for you any more than this. Look at the examples in your text for the correct approach.)