The following are transactions of Samantha Payapag Advertising Company for the month of July 2013
Prepare Journal Entries, Ledger, T- Accounts, Trial Balance, Income Statement, and Balance Sheet
July 3 Samantha Payapag invested 500,000 in the business.
July 5 Bought for cash, advertising supplies costing 80,000. Paid rental of the office, 7,300
July 9 Bought delivery truck from MJ Idos Trading, 350,000 on credit
July 12 Received 43,000 cash as advertising income
July 13 Bought furniture & fixtures, 32,000 in cash
July 17 Took 3,200 cash for personal purposes
July 18 Billed Bernalyn Galvez for the advertising service rendered to promote her product to the market, 10,000
July 23 Paid salaries of the employees, 15,000. Billed Zaldy Co. for the advertising service rendered, 4,000
July 24 Collected 1/2 of the amount Bernalyn Galvez owed to the company
July 26 Purchased another truck amounting to 120,000 from Edwina Motor, Inc. on credit
July 27 Paid MJ Idos Trading 230,000 as partial settlement of the account
July 30 Paid utility expense for the month
In: Accounting
Prepare Journal Entries, Ledger, T- Accounts, Trial Balance, Income Statement, and Balance Sheet
The following are transactions of Samantha Payapag Advertising Company for the month of July 2013
July 3 Samantha Payapag invested 500,000 in the business.
July 5 Bought for cash, advertising supplies costing 80,000. Paid rental of the office, 7,300
July 9 Bought delivery truck from MJ Idos Trading, 350,000 on credit
July 12 Received 43,000 cash as advertising income
July 13 Bought furniture & fixtures, 32,000 in cash
July 17 Took 3,200 cash for personal purposes
July 18 Billed Bernalyn Galvez for the advertising service rendered to promote her product to the market, 10,000
July 23 Paid salaries of the employees, 15,000. Billed Zaldy Co. for the advertising service rendered, 4,000
July 24 Collected 1/2 of the amount Bernalyn Galvez owed to the company
July 26 Purchased another truck amounting to 120,000 from Edwina Motor, Inc. on credit
July 27 Paid MJ Idos Trading 230,000 as partial settlement of the account
July 30 Paid utility expense for the month
In: Accounting
The following is the ending balances of accounts at December 31, 2021, for the Weismuller Publishing Company.
| Account Title | Debits | Credits | |||||
| Cash | $ | 83,000 | |||||
| Accounts receivable | 178,000 | ||||||
| Inventory | 294,000 | ||||||
| Prepaid expenses | 166,000 | ||||||
| Equipment | 338,000 | ||||||
| Accumulated depreciation | $ | 119,000 | |||||
| Investments | 158,000 | ||||||
| Accounts payable | 69,000 | ||||||
| Interest payable | 29,000 | ||||||
| Deferred revenue | 89,000 | ||||||
| Income taxes payable | 39,000 | ||||||
| Notes payable | 245,000 | ||||||
| Allowance for uncollectible accounts | 25,000 | ||||||
| Common stock | 409,000 | ||||||
| Retained earnings | 193,000 | ||||||
| Totals | $ | 1,217,000 | $ | 1,217,000 | |||
1. Prepaid expenses include $138,000 paid on December 31, 2021, for a two-year lease on the building that houses both the administrative offices and the manufacturing facility.
2. Investments include $39,000 in Treasury bills purchased on November 30, 2021. The bills mature on January 30, 2022. The remaining $119,000 is an investment in equity securities that the company intends to sell in the next year.
3. Deferred revenue represents customer prepayments for magazine subscriptions. Subscriptions are for periods of one year or less.
4. The notes payable account consists of the following: a. a $49,000 note due in six months. b. a $130,000 note due in six years. c. a $66,000 note due in three annual installments of $22,000 each, with the next installment due August 31, 2022.
5. The common stock account represents 409,000 shares of no par value common stock issued and outstanding. The corporation has 818,000 shares authorized.
Required:
Prepare a classified balanced sheet for the Weismuller Publishing Company at December 31, 2021. (Amounts to be deducted should be indicated by a minus sign.)
In: Accounting
1-What is the difference between ecommerce and ebusiness?
A-Ebusiness is buying and selling of goods or services online; ecommerce includes ecommerce and all activities related to internal and external business operations.
B-Ecommerce is buying and selling of goods or services online; ebusiness includes ecommerce and all activities related to internal and external business operations.
C-Ecommerce includes ecommerce and all activities related to internal and external business operations; ebusiness includes all of the of knowledge management systems
D-Ecommerce includes Internet network effects; ebusiness includes ecommerce and all activities related to internal and external business operations.
2-What is the difference between a business model and an ebusiness model?
A- A business model and an ebusiness model are identical.
B- A business model and an ebusiness model are complete opposites.
C- A business model details how a company creates, delivers, and generates revenue; an ebusiness model does all of the same but on the Internet.
D- An ebusiness model details how a company creates, delivers, and generates revenue; a business model does all the same except on the Internet.
3- Max and Yvette have been saving for two years to take their six children on a vacation to Disney World. They are surprised to find out that airline tickets are far more expensive than they had anticipated. They decide to try to find cheaper tickets on Priceline where they are allowed to set the price they are willing to pay for the airline tickets. What form of ebusiness model are Max and Yvette using?
A- C2B
B- B2B
C- CBC
D- C2C
4- An Internet service provider (ISP) is a company that provides access to the Internet for a monthly fee.
A- True
B- False
In: Computer Science
Boards Inc. fabricates skateboards that the company sells for $ 37.50 each. Fixed costs for the last 12 months equaled $4,800. For the same period variable cost per unit equaled $22.50. Use the unit variable cost and sales price to calculate the unit contribution margin: 9120 Calculate the breakeven sales volume. BLANK-2 Calculate the sales volume necessary to produce a target Net Income of $3,000 per month. BLANK-3 The skateboards are manufactured in an old factory that relies heavily on worker labor. The company is considering the construction of a new automated plant that would increase fixed costs by $ 4,320 per month, but decrease the variable cost per board by $ 8.50. What would the fixed costs and unit variable costs be under the proposal. Use the unit variable cost and sales price to calculate the unit contribution margin: Fixed Cost BLANK-4 Variable cost per unit BLANK-5 Contribution Margin per unit BLANK-6 Compute the breakeven under the new proposal. BLANK-7 Prepare comparative Contribution Margin Income Statements for the current and proposed manufacturing processes assuming the sales volume is 480 units per month. Current Process Sales Revenue BLANK-8 Variable Costs BLANK-9 Contribution Margin BLANK-10 Fixed Costs BLANK-11 Net Income BLANK-12 Proposed New Process Sales Revenue BLANK-13 Variable Costs BLANK-14 Contribution Margin BLANK-15 Fixed Costs BLANK-16 Net Income BLANK-17 If the company is expected to sell 480 units a month, should they build the new factory? Yes or No BLANK-18
In: Accounting
ABC company is considering producing a new range of smartphones that will require it to build a new factory. Feasibility studies have been done on the factory which cost $5 million. The studies have found the following:
1. The factory will cost $25 million and will have a useful life of 20 years.
2. The land where the factory will go is currently used as a carpark for workers and it is assumed that the company will have to pay $200000 per year for their workers to park in a nearby carpark.
3. The factory will be depreciated on a straight line basis and will have a salvage value of $0 but it is believed that most of it can be sold for scrap after 20 years for $50000.
4. Due to the nature of the business they are in, they will have to perform some environmental tests to make sure that some of the chemicals they are using are not entering the ground water around the factory. These tests will be performed every 5 years and cost $625000.
5. Through the building of this factory and the selling of the phones it produces, it’s revenue will increase by $5 million in year 1 and remain at this level for the operational life of the factory.
6. The extra costs that the company accrues per year due to the project are $435000 for labour, $50000 for overhead like power and water bills and marketing costs for the new line of phones will be $500000 per year but will decrease by $15000 per year as the phone gains greater penetration.
7. The company’s current cost of capital is 8% per year.
8. The tax rate is 30%.
9. The project requires an initial investment in working capital of $1000000 that is returned in year 20.
Calculate the break even point for the following variables:
a. The cost of capital.
b. The yearly revenue.
c. The labour cost.
In: Finance
The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed mean temperature in Boston over the last 20 years:
199872199969200078200170200267200374200473200565200677200771200875200968201072201177201265201379201477201578201672201774
Is this a normal distribution? Explain your
reasoning.
What is an outlier? Are there any outliers in this
distribution? Explain your reasoning fully.
Using the above data, what is the probability that the
mean will be over 76 in any given July?
Using the above data, what is the probability that the
mean will be over 80 in any given July?
A heatwave is defined as 3 or more days in a row with a high temperature over 90 degrees Fahrenheit. Given the following high temperatures recorded over a period of 20 days, what is the probability that there will be a heatwave in the next 10 days?
Day 193Day 288Day 391Day 486Day 592Day 691Day 790Day
888Day 985Day 1091Day 1184Day 1286Day 1385Day 1490Day 1592Day
1689Day 1788Day 1890Day 1988Day 2090
Customer surveys reveal that 40% of customers purchase products
online versus in the physical store location. Suppose that this
business makes 12 sales in a given day
Does this situation fit the parameters for a binomial distribution? Explain why or why not?
Find the probability of the 12 sales on a given day exactly 4 are made online
Find the probability of the 12 sales fewer than 6 are made online
Find the probability of the 12 sales more than 8 are made online
Your own example:
Choose a company that you have recently seen in the news because it is having some sort of problem or scandal, and complete the following:
Discuss the situation, and describe how the company
could use distributions and probability statistics to learn more
about how the scandal could affect its business.
If you were a business analyst for the company, what
research would you want to do, and what kind of data would you want
to collect to create a distribution?
Would this be a standard, binomial, or Poisson
distribution? Why?
List and discuss at least 3 questions that you would
want to create probabilities for (e.g., What is the chance that the
company loses 10% of its customers in the next year?).
What would you hope to learn from calculating these
probabilities?
Assuming that upper management does not see the value
in expending the time and money necessary to collect data to
analyze, make an argument (at least 100 words) convincing them that
the expenditure is necessary and explaining some dangers the
company could face by not knowing what the data predict.
In: Statistics and Probability
The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed mean temperature in Boston over the last 20 years:
199872199969200078200170200267200374200473200565200677200771200875200968201072201177201265201379201477201578201672201774
Is this a normal distribution? Explain your
reasoning.
What is an outlier? Are there any outliers in this
distribution? Explain your reasoning fully.
Using the above data, what is the probability that the
mean will be over 76 in any given July?
Using the above data, what is the probability that the
mean will be over 80 in any given July?
A heatwave is defined as 3 or more days in a row with a high temperature over 90 degrees Fahrenheit. Given the following high temperatures recorded over a period of 20 days, what is the probability that there will be a heatwave in the next 10 days?
Day 193Day 288Day 391Day 486Day 592Day 691Day 790Day
888Day 985Day 1091Day 1184Day 1286Day 1385Day 1490Day 1592Day
1689Day 1788Day 1890Day 1988Day 2090
Customer surveys reveal that 40% of customers purchase products
online versus in the physical store location. Suppose that this
business makes 12 sales in a given day
Does this situation fit the parameters for a binomial distribution? Explain why or why not?
Find the probability of the 12 sales on a given day exactly 4 are made online
Find the probability of the 12 sales fewer than 6 are made online
Find the probability of the 12 sales more than 8 are made online
Your own example:
Choose a company that you have recently seen in the news because it is having some sort of problem or scandal, and complete the following:
Discuss the situation, and describe how the company
could use distributions and probability statistics to learn more
about how the scandal could affect its business.
If you were a business analyst for the company, what
research would you want to do, and what kind of data would you want
to collect to create a distribution?
Would this be a standard, binomial, or Poisson
distribution? Why?
List and discuss at least 3 questions that you would
want to create probabilities for (e.g., What is the chance that the
company loses 10% of its customers in the next year?).
What would you hope to learn from calculating these
probabilities?
Assuming that upper management does not see the value
in expending the time and money necessary to collect data to
analyze, make an argument (at least 100 words) convincing them that
the expenditure is necessary and explaining some dangers the
company could face by not knowing what the data predict.
In: Statistics and Probability
| Female Health Data | Looking at the correlation matrix identify one good and one bad regression pair and conduct detailed regression analysis with all explanations similar to example from Ch 18 repeated below | |||||||||||||||||
| Data>Data Analysis ToolBox>Correlation | Data>Data Analysis ToolBox> Regression | |||||||||||||||||
| AGE | HT | WT | WAIST | PULSE | SYS | DIAS | CHOL | BMI | LEG | ELBOW | WRIST | ARM | ||||||
| 17 | 64.3 | 114.8 | 67.2 | 76 | 104 | 61 | 264 | 19.6 | 41.6 | 6 | 4.6 | 23.6 | ||||||
| 32 | 66.4 | 149.3 | 82.5 | 72 | 99 | 64 | 181 | 23.8 | 42.8 | 6.7 | 5.5 | 26.3 | ||||||
| 25 | 62.3 | 107.8 | 66.7 | 88 | 102 | 65 | 267 | 19.6 | 39 | 5.7 | 4.6 | 26.3 | ||||||
| 55 | 62.3 | 160.1 | 93 | 60 | 114 | 76 | 384 | 29.1 | 40.2 | 6.2 | 5 | 32.6 | ||||||
| 27 | 59.6 | 127.1 | 82.6 | 72 | 94 | 58 | 98 | 25.2 | 36.2 | 5.5 | 4.8 | 29.2 | ||||||
| 29 | 63.6 | 123.1 | 75.4 | 68 | 101 | 66 | 62 | 21.4 | 43.2 | 6 | 4.9 | 26.4 | ||||||
| 25 | 59.8 | 111.7 | 73.6 | 80 | 108 | 61 | 126 | 22 | 38.7 | 5.7 | 5.1 | 27.9 | ||||||
| 12 | 63.3 | 156.3 | 81.4 | 64 | 104 | 41 | 89 | 27.5 | 41 | 6.8 | 5.5 | 33 | ||||||
| 41 | 67.9 | 218.8 | 99.4 | 68 | 123 | 72 | 531 | 33.5 | 43.8 | 7.8 | 5.8 | 38.6 | ||||||
| 32 | 61.4 | 110.2 | 67.7 | 68 | 93 | 61 | 130 | 20.6 | 37.3 | 6.3 | 5 | 26.5 | ||||||
| 31 | 66.7 | 188.3 | 100.7 | 80 | 89 | 56 | 175 | 29.9 | 42.3 | 6.6 | 5.2 | 34.4 | ||||||
| 19 | 64.8 | 105.4 | 72.9 | 76 | 112 | 62 | 44 | 17.7 | 39.1 | 5.7 | 4.8 | 23.7 | ||||||
| 19 | 63.1 | 136.1 | 85 | 68 | 107 | 48 | 8 | 24 | 40.3 | 6.6 | 5.1 | 28.4 | ||||||
| 23 | 66.7 | 182.4 | 85.7 | 72 | 116 | 62 | 112 | 28.9 | 48.6 | 7.2 | 5.6 | 34 | ||||||
| 40 | 66.8 | 238.4 | 126 | 96 | 181 | 102 | 462 | 37.7 | 33.2 | 7 | 5.4 | 35.2 | ||||||
| 23 | 64.7 | 108.8 | 74.5 | 72 | 98 | 61 | 62 | 18.3 | 43.4 | 6.2 | 5.2 | 24.7 | ||||||
| 27 | 65.1 | 119 | 74.5 | 68 | 100 | 53 | 98 | 19.8 | 41.5 | 6.3 | 5.3 | 27 | ||||||
| 45 | 61.9 | 161.9 | 94 | 72 | 127 | 74 | 447 | 29.8 | 40 | 6.8 | 5 | 35 | ||||||
| 41 | 64.3 | 174.1 | 92.8 | 64 | 107 | 67 | 125 | 29.7 | 38.2 | 6.8 | 4.7 | 33.1 | ||||||
| 56 | 63.4 | 181.2 | 105.5 | 80 | 116 | 71 | 318 | 31.7 | 38.2 | 6.9 | 5.4 | 39.6 | ||||||
| 22 | 60.7 | 124.3 | 75.5 | 64 | 97 | 64 | 325 | 23.8 | 38.2 | 5.9 | 5 | 27 | ||||||
| 57 | 63.4 | 255.9 | 126.5 | 80 | 155 | 85 | 600 | 44.9 | 41 | 8 | 5.6 | 43.8 | ||||||
| 24 | 62.6 | 106.7 | 70 | 76 | 106 | 59 | 237 | 19.2 | 38.1 | 6.1 | 5 | 23.6 | ||||||
| 37 | 60.6 | 149.9 | 98 | 76 | 110 | 70 | 173 | 28.7 | 38 | 7 | 5.1 | 34.3 | ||||||
| 59 | 63.5 | 163.1 | 104.7 | 76 | 105 | 69 | 309 | 28.5 | 36 | 6.7 | 5.1 | 34.4 | ||||||
| 40 | 58.6 | 94.3 | 67.8 | 80 | 118 | 82 | 94 | 19.3 | 32.1 | 5.4 | 4.2 | 23.3 | ||||||
| 45 | 60.2 | 159.7 | 99.3 | 104 | 133 | 83 | 280 | 31 | 31.1 | 6.4 | 5.2 | 35.6 | ||||||
| 52 | 67.6 | 162.8 | 91.1 | 88 | 113 | 75 | 254 | 25.1 | 39.4 | 7.1 | 5.3 | 31.8 | ||||||
| 31 | 63.4 | 130 | 74.5 | 60 | 113 | 66 | 123 | 22.8 | 40.2 | 5.9 | 5.1 | 27 | ||||||
| 32 | 64.1 | 179.9 | 95.5 | 76 | 107 | 67 | 596 | 30.9 | 39.2 | 6.2 | 5 | 32.8 | ||||||
| 23 | 62.7 | 147.8 | 79.5 | 72 | 95 | 59 | 301 | 26.5 | 39 | 6.3 | 4.9 | 31 | ||||||
| 23 | 61.3 | 112.9 | 69.1 | 72 | 108 | 72 | 223 | 21.2 | 36.6 | 5.9 | 4.7 | 27 | ||||||
| 47 | 58.2 | 195.6 | 105.5 | 88 | 114 | 79 | 293 | 40.6 | 27 | 7.5 | 5.5 | 41.2 | ||||||
| 36 | 63.2 | 124.2 | 78.8 | 80 | 104 | 73 | 146 | 21.9 | 38.5 | 5.6 | 4.7 | 25.5 | ||||||
| 34 | 60.5 | 135 | 85.7 | 60 | 125 | 73 | 149 | 26 | 39.9 | 6.4 | 5.2 | 30.9 | ||||||
| 37 | 65 | 141.4 | 92.8 | 72 | 124 | 85 | 149 | 23.5 | 37.5 | 6.1 | 4.8 | 27.9 | ||||||
| 18 | 61.8 | 123.9 | 72.7 | 88 | 92 | 46 | 920 | 22.8 | 39.7 | 5.8 | 5 | 26.5 | ||||||
| 29 | 68 | 135.5 | 75.9 | 88 | 119 | 81 | 271 | 20.7 | 39 | 6.3 | 4.9 | 27.8 | ||||||
| 48 | 67 | 130.4 | 68.6 | 124 | 93 | 64 | 207 | 20.5 | 41.6 | 6 | 5.3 | 23 | ||||||
| 16 | 57 | 100.7 | 68.7 | 64 | 106 | 64 | 2 | 21.9 | 33.8 | 5.6 | 4.6 | 26.4 | ||||||
In: Statistics and Probability
Consider the following financial information of 3 companies.
Company A Company B Company C
Net Income $3,000 $3,000 $3,000
OCF $5,000 $4,600 $4,200
Which company's earnings are the most questionable (lowest quality)?
Company a
Company b
Company c
In: Accounting