What must cash flow from financing have been in 2008 for Interceptors, Inc.?

$33

$43

$10

$40

You set up your own business in merchandising sector. You lease a space of 6,000 square feet to open a luxury watch shop.

The following is minimum information regarding the business:

- Specific sub-sector: Merchandising sector.

-   Business model: buying and selling luxury watches.

-   Investment by owner: $1,000,000

- You hire a shop manager, two accounting staffs who also keep the merchandise, one security officer, and 8 full-time sales assistants.

-   Business costs/expenses should have at least the following: cost of merchandise sold, rent expense, salary, utilities expense, advertising expense, interest expense, and miscellaneous expenses.

1. 1/1/2019 : Opened the business, invested $1,000,000 cash in the business.
2. 1/1/2019; bought a building for the business purpose for 100,000 cash. The building has a useful economic life of 10 years.
3. 1/1/2019; bought store and office fixture for $20000 cash.

4. 1/1/2019: purchased 100 luxury watches (Inventory) for $200,000 with $100,000 cash payment, the remaining amount payable on 2/1/2020. ( each watch costs $2,000)
5. 3/1/2019: purchased 50 luxury watches (Inventory) for $250,000. Each watch costs $5,000.
6. 4/1/2019: purchased 40 luxury watches (Inventory) for $240,000. Each cost $6,000.

7. 6/1/2019: Sold 130 watched for $1,300,000. Of which $300,000 cash was received at the time of sale. The remaining amount to be received on 5/2/2020.

8. 7/1/2019: paid $1,200 in advance for 12 months’ property insurance
9. 8/1/2019: borrowed $500,000 from a local Chase bank. Inrerest rate is 12%/year. Interest is paid every 6 months- the first payment date is 2/1/2020. Principal is paid on 8/1/2020.
10. 9/1/2019: to expand business, you rent a showroom in the next building. Paid $24,000 cash in advance for 12 month’s rent.

11. 12/31/2019: Paid 2019 utilities expense, advertising expense, and miscellaneous expense for $5000, $15,000, and $4,000, respectively.

12. Salary is paid on the last day of each month. Each month’s salary expense is $20,000.

Notes:

13. On 12/31/2019: Physical inventory showed that there were 60 luxury watches on hand at the end of the period. The company used periodic inventory system, and used FIFO costing method.
14. Your business used straight-line depreciation method for all fixed assets.
15. Ignore tax.

16. Prepare financial statements on 12/31/2019.

A school psychologist wishes to determine whether a new anti-smoking film actually reduces the daily consumption of cigarettes by teenage smokers. The mean daily cigarette consumption is calculated for each of eight teenage smokers during the month before and the month after the film presentation, with the following results: MEAN DAILY CIGARETTE CONSUMPTION

SMOKER NUMBER BEFORE FILM (X1) AFTER FILM (X2)

1 28 26

2 29 27

3 31 32

4 44    44

5 35 35

6 20 16

7 50 47

8 25 23

A) Is there a significant difference in the number of cigarettes smoked before the film as compared to the number of cigarettes smoked after the film?

B) What does this NOT necessarily mean?

C) What might be done to improve the design of this experiment?

A school psychologist wishes to determine whether a new anti-smoking film actually reduces the daily consumption of cigarettes by teenage smokers. The mean daily cigarette consumption is calculated for each of eight teenage smokers during the month before and the month after the film presentation, with the following results: MEAN DAILY CIGARETTE CONSUMPTION

SMOKER NUMBER BEFORE FILM (X1) AFTER FILM (X2)

1 28 26

2 29 27

3 31 32

4 44 44

5 35 35

6 20 16

7 50 47

8 25 23

A) Is there a significant difference in the number of cigarettes smoked before the film as compared to the number of cigarettes smoked after the film?

B) What does this NOT necessarily mean?

C) What might be done to improve the design of this experiment?

You are trying to find a relationship between the productivity of your sales staff and some other factors such as the number of training hours, age, and the current annual salary. You have collected the data of 37 employees. The Output is the percent of actual sales given the sales leads. You want to study the impact of other variables on this Output. For example, does age matter? And if it does, are the younger employees better performers than the older employees?                                            
                                          
                                          
                                          
                                          
Output Data                              
Employee       Output (O)       Training hours(T)       Age (A)       Income (I)
1           58.8       24       60       22.1
2           58.7       25       59       24.6
3           58.2       25       59       25.1
4           57           25       53       28
5           56.5       25       52       28.3
6           55.2       27       50       29.7
7           54.7       30       50       32.1
8           54.5       30       49       32.6
9           52.8       30       49       33.7
10           51.1       31       49       44.1
11           44.8       32       48       42.9
12           44       33       47       40.7
13           59.4       39       47       40.2
14           59.8       41       45       40
15           61.7       43       45       39.9
16           62.5       44       43       39.6
17           62.6       45       43       38.5
18           64.6       60       41       38.4
19           64.9       57       40       38
20           65.3       56       40       37.4
21           65.7       56       40       34.5
22           66.1       49       40       34.4
23           68.2       48       40       44.4
24           71.8       48       35       44.6
25           71.7       46       35       44.8
26           71.3       46       35       44.8
27           70.1       60       36       45.6
28           69.9       63       37       46.5
29           69.8       63       38       47.5
30           69.6       63       39       49
31           68.8       64       39       51.4
32           68.5       68       39       52.6
33           72.6       72       34       52.9
34           73.9       75       34       54.8
35           75.3       76       33       55.1
36           81.6       77       31       55.2
37           83.7       79       30       55.6

                                          
                                          
a) What portion of the variation in the Output is explained by the 3 independent variables?                                          
b) What output would you expect for a 40-year old employee who has 50 hours of training and is making $55,450?                                          
c) Based on this model, productivity                                           
d) Based on this model, productivity                                           
e) Comment on the quality of your regression result. That is, how strong or weak it is?      

As a production manager of Chifwamba enterprise, you are given the following output, price and total cost data facing a firm.

1. Complete the above table by calculating FC, VC, MC, AVC, AFC, MR, TR, and Economic Profits [10 Marks].
2. Assuming that the above firm is in a perfectly competitive market structure, is it operating in the short run or long run? Justify your answer by giving two reasons                       [2 Marks]
3. Graph the equilibrium solutions you found in a) for MC, MR, AVC, TVC. [3 Marks]

15 highly anxious students were randomly assigned so that 5 received behavioral therapy, 5 received cognitive therapy, and 5 received psychoanalytic therapy. Later all 15 students were tested for anxiety (on a scale where the higher the score the greater the anxiety). The results of these measures appears below. On the basis of these data determine whether the therapies differ in their effectiveness.

          Anxiety Scores for Students Receiving Various Types of Therapy

                       Behavioral     Cognitive       Psychoanalytic

                                5                    5                      8

                                4                    5                      7

                                8                    7                      8

                                7                    7                      6

                                6                    6                      6

a) what is the inferential statistic? (choose one)

•Two-independent-samples t test

•Related-samples t test

•One-way between-subjects ANOVA

•One-way repeated-measures (within-subjects) ANOVA

•Two-way between-subjects ANOVA

•Regression/correlation

•Chi-square test for independence

b) what are the critical value(s)?

c) reject or accept null hypothesis?(yes or no)

The data shown to the right represent the age​ (in weeks) at which babies first​ crawl, based on a survey of 12 mothers. Complete parts​ (a) through​ (c) below. 52 30 44 35 47 37 56 26 54 44 35 28 Click here to view the table of critical t-values. LOADING... Click here to view page 1 of the standard normal distribution table. LOADING... Click here to view page 2 of the standard normal distribution table. LOADING... ​(a) Draw a normal probability plot to determine if it is reasonable to conclude the data come from a population that is normally distributed. Choose the correct answer below. A. 20 30 40 50 60 -2 -1 0 1 2 Age (in weeks) Expected z-score A normal probability plot has a horizontal axis labeled "Age (in weeks)" from 20 to 60 in increments of 5 and a vertical axis labeled "Expected z-score" from negative 2 to 2 in increments of 0.5. The graph contains 12 plotted points that follow the general pattern of a line that falls from left to right through (30, 1) and (50, negative 1), with slight deviation from the line pattern at the tails. The 12 plotted points have coordinates as follows: (26, 1.6); (28, 1.1); (30, 0.8); (35, 0.5); (35, 0.3); (37, 0.1); (44, negative 0.1); (44, negative 0.3); (47, negative 0.5); (52, negative 0.8); (54, negative 1.1); (56, negative 1.6). All coordinates are approximate. B. 20 30 40 50 60 -4 -2 0 2 4 Age (in weeks) Expected z-score A normal probability plot has a horizontal axis labeled "Age (in weeks)" from 20 to 60 in increments of 5 and a vertical axis labeled "Expected z-score" from negative 4 to 4 in incrementservals of 1. The graph contains 12 plotted points that follow the general pattern of a line that rises from left to right through (30, negative 2) and (50, 2), with slight deviation from the line pattern at the tails. The 12 plotted points have coordinates as follows: (26, negative 3.3); (28, negative 2.3); (30, negative 1.6); (35, negative 1); (35, negative 0.6); (37, negative 0.2); (44, 0.2); (44, 0.6); (47, 1); (52, 1.6); (54, 2.3); (56, 3.3). All coordinates are approximate. C. 20 30 40 50 60 -2 -1 0 1 2 Age (in weeks) Expected z-score A normal probability plot has a horizontal axis labeled "Age (in weeks)" from 20 to 60 in increments of 5 and a vertical axis labeled "Expected z-score" from negative 2 to 2 in incrementstervals of 0.5. The graph contains 12 plotted points that follow the general pattern of a line that rises from left to right through (30, negative 1) and (50, 1), with slight deviation from the line pattern at the tails. The 12 plotted points have coordinates as follows: (26, negative 1.6); (28, negative 1.1); (30, negative 0.8); (35, negative 0.5); (35, negative 0.3); (37, negative 0.1); (44, 0.1); (44, 0.3); (47, 0.5); (52, 0.8); (54, 1.1); (56, 1.6). All coordinates are approximate. D. 20 30 40 50 60 -4 -2 0 2 4 Age (in weeks) Expected z-score A normal probability plot has a horizontal axis labeled "Age (in weeks)" from 20 to 60 in increments of 5 and a vertical axis labeled "Expected z-score" from negative 4 to 4 in increments of 1. The graph contains 12 plotted points that follow the general pattern of a line that falls from left to right through (30, 2) and (50, negative 2), with slight deviation from the line pattern at the tails. The 12 plotted points have coordinates as follows: (26, 3.3); (28, 2.3); (30, 1.6); (35, 1); (35, 0.6); (37, 0.2); (44, negative 0.2); (44, negative 0.6); (47, negative 1); (52, negative 1.6); (54, negative 2.3); (56, negative 3.3). All coordinates are approximate. Is it reasonable to conclude that the data come from a population that is normally​ distributed? A. ​Yes, because the plotted values are approximately linear. B. ​No, because the plotted values are not linear. C. ​No, because there are not enough values to make a determination. D. ​Yes, because the plotted values are not linear. ​(b) Draw a boxplot to check for outliers. Choose the correct answer below. A. 20 30 40 50 60 A boxplot has a horizontal axis labeled from 20 to 60 in increments of 5. The boxplot has the following five-number summary: 26, 32.5, 40.5, 49.5, 56. All values are approximate. B. 20 30 40 50 60 A boxplot has a horizontal axis labeled from 20 to 60 in increments of 5. The boxplot has the following five-number summary: 26, 32.5, 45, 54, 56. All values are approximate. C. 20 30 40 50 60 A boxplot has a horizontal axis labeled from 20 to 60 in increments of 5. The boxplot has the following five-number summary: 26, 37, 40.5, 49.5, 56. All values are approximate. D. 20 30 40 50 60 A boxplot has a horizontal axis labeled from 20 to 60 in increments of 5. The boxplot has the following five-number summary: 26, 37, 45, 54, 56. All values are approximate. Does the boxplot suggest that there are​ outliers? A. ​No, there are no points that are greater than the third quartile or less than the first quartile. B. ​Yes, there is at least one point that is greater than the third quartile or less than the first quartile. C. ​Yes, there is at least one point that is outside of the​ 1.5(IQR) boundary. D. ​No, there are no points that are outside of the​ 1.5(IQR) boundary. ​(c) Construct and interpret a 95​% confidence interval for the mean age at which a baby first crawls. Select the correct choice and fill in the answer boxes to complete your choice. ​(Round to one decimal place as​ needed.) A. The lower bound is nothing weeks and the upper bound is nothing weeks. We are 95​% confident that the mean age at which a baby first crawls is outside of the confidence interval. B. The lower bound is nothing weeks and the upper bound is nothing weeks. We are 95​% confident that the mean age at which a baby first crawls is within the confidence interval. Click to select and enter your answer(s).

The country of Rainbows exports seeds to the country of Farmington. Information for the quantity demanded (Qd) and the quantity supplied (Qs) for each country, in a world without trade, are given in the tables below.

Rainbows:

Farmington:

What is the equilibrium price and quantity for each country?

Question 1 options:

Question 2

In Chile, one worker can harvest 4 pounds of peppers or 4 pounds of coffee beans. In Argentina, one worker can harvest 2 pounds of peppers or 8 pounds of coffee beans.

a) Which country has the comparative advantage harvesting peppers?  

b) Which country has the comparative advantage in harvesting coffee beans?

Question 2 options:

Question 3 (1 point)

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The country of Rainbows exports seeds to the country of Farmington. Information for the quantity demanded (Qd) and the quantity supplied (Qs) for each country, in a world without trade, are given in the tables below.

Rainbows:

Farmington:

What is the equilibrium price and quantity if trade is allowed to occur?

Question 4

In Japan, one worker can make 5 tons of rubber or 80 radios. In Malaysia, one worker can make 10 tons of rubber or 40 radios.

What is the opportunity cost for Japan and Malaysia for producing 80 additional radios?

Question 4 options: