On January 1, 2017, Albany Company issued 8% bonds dated January 1, 2017, with a face amount of $10 million. The bonds mature January 1, 2027 (10 years). For bonds of similar risk and maturity, the market yield is 10%. Interest is paid semiannually on June 30 and December 31.
Required:
In: Accounting
Mahalo Boat Adventure Inc. has a July 31 year-end. It showed the
following partial amortization schedules regarding two bond
issues:
Bond Issue A
| Period Ending | (A) Cash Interest Paid $710,000 × 9.0% × 6/12 |
(B) Period Interest Expense (E) × 8.0% × 6/12 |
(C) Amort. (A) − (B) |
(D) Unamortized Balance |
(E) Carrying Value $710,000 + (D) |
||||||||||||||||||||
| June 1/20 | $ | 44,941 | $ | 754,941 | |||||||||||||||||||||
| Dec. 1/20 | $ | 31,950 | $ | 30,198 | $ | 1,752 | 43,189 | 753,189 | |||||||||||||||||
| ⋮⋮ | ⋮⋮ | ⋮⋮ | ⋮⋮ | ⋮⋮ | ⋮⋮ | ||||||||||||||||||||
| Dec. 1/26 | 31,950 | 29,144 | 2,806 | 15,806 | 725,806 | ||||||||||||||||||||
| June 1/27 | 31,950 | 29,032 | 2,918 | 12,888 | 722,888 | ||||||||||||||||||||
| Dec. 1/27 | 31,950 | 28,916 | 3,034 | 9,854 | 719,854 | ||||||||||||||||||||
| June 1/28 | 31,950 | 28,794 | 3,156 | 6,698 | 716,698 | ||||||||||||||||||||
| Dec. 1/28 | 31,950 | 28,668 | 3,282 | 3,416 | 713,416 | ||||||||||||||||||||
| June 1/29 | 31,950 | 28,534 | 3,416 | 0 | 710,000 | ||||||||||||||||||||
| Totals | $ | 575,100 | $ | 530,159 | $ | 44,941 | |||||||||||||||||||
*Adjusted for rounding
(For all requirements, do not round intermediate
calculations. Round the final answers to the nearest whole
dollar.)
Required:
1. Bond Issue A
a. Were the bond A issued at a premium and/or
discount?
b. Journalize the issuance of bond A on June 1, 2020.
c. What is the contract interest rate for the
issue bond A?
d. Interest of how much is paid how often for bond
A issued?
e. What is the term of bond A issue?
f. Show how bond A would appear on the balance
sheet under non-current liabilities at July 31, 2026.
(Enter all amounts as positive values.)
g. Calculate the total bond A interest expense
that would appear on the income statement for the year ended July
31, 2027.
h. Independent of (a) through (g), assume bond A
issues were retired on December 1, 2027, at 97. Record the
entries
Bond Issue B
| Period Ending | (A) Cash Interest Paid $570,000.0 × 9.0% × 3/12 |
(B) Period Interest Expense (E) × 9.5% × 3/12 |
(C) Amort. (A) − (B) |
(D) Unamortized Balance |
(E) Carrying Value $570,000 − (D) |
||||||||||||||||||||
| Apr. 1/18 | $ | 18,268 | $ | 551,732 | |||||||||||||||||||||
| Jul. 1/18 | $ | 12,825 | $ | 13,104 | $ | 279 | 17,989 | 552,011 | |||||||||||||||||
| ⋮⋮ | ⋮⋮ | ⋮⋮ | ⋮⋮ | ⋮⋮ | ⋮⋮ | ||||||||||||||||||||
| Apr. 1/26 | 12,825 | 13,402 | 577 | 5,138 | 564,862 | ||||||||||||||||||||
| Jul. 1/26 | 12,825 | 13,415 | 590 | 4,548 | 565,452 | ||||||||||||||||||||
| Oct. 1/26 | 12,825 | 13,429 | 604 | 3,944 | 566,056 | ||||||||||||||||||||
| Jan. 1/27 | 12,825 | 13,444 | 619 | 3,325 | 566,675 | ||||||||||||||||||||
| Apr. 1/27 | 12,825 | 13,459 | 634 | 2,691 | 567,309 | ||||||||||||||||||||
| Jul. 1/27 | 12,825 | 13,474 | 649 | 2,042 | 567,958 | ||||||||||||||||||||
| Oct. 1/27 | 12,825 | 13,489 | 664 | 1,378 | 568,622 | ||||||||||||||||||||
| Jan. 1/28 | 12,825 | 13,505 | 680 | 698 | 569,302 | ||||||||||||||||||||
| Apr. 1/28 | 12,825 | 13,523 | * | 698 | 0 | 570,000 | |||||||||||||||||||
| Totals | $ | 513,000 | $ | 531,268 | $ | 18,268 | |||||||||||||||||||
*Adjusted for rounding
2. Bond Issue B
a. Were the bond B issued at a premium and/or
discount?
Issued at discount
Issued at premium
Issued at premium & discount
b. Journalize the issuance of bond B on April
1, 2018.
c. What is the contract interest rate for the
issue bond B?
d. Interest of how much is paid how often for bond
B issued?
e. What is the term of bond B issue?
f. Show how bond B would appear on the balance sheet under non-current liabilities at July 31, 2026.
g. Calculate the bond B interest expense that would appear on the income statement for the year ended July 31, 2027.
h. Independent of (a) through (g), assume that
bond B issues was retired on December 1, 2027, at 97. Record the
entries.
In: Accounting
Using the same data… 2 3 4 4 4 6 6 6 7 8 8 9 10 10 11 12 16 16 28 46 (d) [5 pts] Determine the 5# summary. (e) Determine the lower and upper fence to determine if there are any outliers. (f) Draw and carefully label a modified boxplot for this data. (g) What is the shape of the distribution (symmetric, skewed left, or skewed right). Explain.
In: Statistics and Probability
| Day | Date | Weekday | Daily Demand | Weekend |
| 1 | 4/25/2016 | Mon | 297 | 0 |
| 2 | 4/26/2016 | Tue | 293 | 0 |
| 3 | 4/27/2016 | Wed | 327 | 0 |
| 4 | 4/28/2016 | Thu | 315 | 0 |
| 5 | 4/29/2016 | Fri | 348 | 0 |
| 6 | 4/30/2016 | Sat | 447 | 1 |
| 7 | 5/1/2016 | Sun | 431 | 1 |
| 8 | 5/2/2016 | Mon | 283 | 0 |
| 9 | 5/3/2016 | Tue | 326 | 0 |
| 10 | 5/4/2016 | Wed | 317 | 0 |
| 11 | 5/5/2016 | Thu | 345 | 0 |
| 12 | 5/6/2016 | Fri | 355 | 0 |
| 13 | 5/7/2016 | Sat | 428 | 1 |
| 14 | 5/8/2016 | Sun | 454 | 1 |
| 15 | 5/9/2016 | Mon | 305 | 0 |
| 16 | 5/10/2016 | Tue | 310 | 0 |
| 17 | 5/11/2016 | Wed | 350 | 0 |
| 18 | 5/12/2016 | Thu | 308 | 0 |
| 19 | 5/13/2016 | Fri | 366 | 0 |
| 20 | 5/14/2016 | Sat | 460 | 1 |
| 21 | 5/15/2016 | Sun | 427 | 1 |
| 22 | 5/16/2016 | Mon | 291 | 0 |
| 23 | 5/17/2016 | Tue | 325 | 0 |
| 24 | 5/18/2016 | Wed | 354 | 0 |
| 25 | 5/19/2016 | Thu | 322 | 0 |
| 26 | 5/20/2016 | Fri | 405 | 0 |
| 27 | 5/21/2016 | Sat | 442 | 1 |
| 28 | 5/22/2016 | Sun | 454 | 1 |
| 29 | 5/23/2016 | Mon | 318 | 0 |
| 30 | 5/24/2016 | Tue | 298 | 0 |
| 31 | 5/25/2016 | Wed | 355 | 0 |
| 32 | 5/26/2016 | Thu | 355 | 0 |
| 33 | 5/27/2016 | Fri | 374 | 0 |
| 34 | 5/28/2016 | Sat | 447 | 1 |
| 35 | 5/29/2016 | Sun | 463 | 1 |
| 36 | 5/30/2016 | Mon | 291 | 0 |
| 37 | 5/31/2016 | Tue | 319 | 0 |
| 38 | 6/1/2016 | Wed | 333 | 0 |
| 39 | 6/2/2016 | Thu | 339 | 0 |
| 40 | 6/3/2016 | Fri | 416 | 0 |
| 41 | 6/4/2016 | Sat | 475 | 1 |
| 42 | 6/5/2016 | Sun | 459 | 1 |
| 43 | 6/6/2016 | Mon | 319 | 0 |
| 44 | 6/7/2016 | Tue | 326 | 0 |
| 45 | 6/8/2016 | Wed | 356 | 0 |
| 46 | 6/9/2016 | Thu | 340 | 0 |
| 47 | 6/10/2016 | Fri | 395 | 0 |
| 48 | 6/11/2016 | Sat | 465 | 1 |
| 49 | 6/12/2016 | Sun | 453 | 1 |
| 50 | 6/13/2016 | Mon | 307 | 0 |
| 51 | 6/14/2016 | Tue | 324 | 0 |
| 52 | 6/15/2016 | Wed | 350 | 0 |
| 53 | 6/16/2016 | Thu | 348 | 0 |
| 54 | 6/17/2016 | Fri | 384 | 0 |
| 55 | 6/18/2016 | Sat | 474 | 1 |
| 56 | 6/19/2016 | Sun | 485 | 1 |
Eli Orchid has designed a new pharmaceutical product, Orchid Relief, which improves the night sleep. Before initiating mass production of the product, Eli Orchid has been market-testing Orchid Relief in Orange County over the past 8 weeks. The daily demand values are listed above. Eli Orchid plans on using the sales data to predict sales for the upcoming week. An accurate forecast would be helpful in making arrangements for the company’s production processes and designing promotions.
Before a forecasting model is built and a forecast for the next week is generated, the COO of the company has asked the data analyst for an exploratory analysis of the demand.
Specifically, the COO has asked the analyst1:
|
To provide a bar/column chart (with data labels rounded to two decimal points) showing the average demand for each day of the week (Sun., Mon., etc.) |
[ chart ] |
|
To fit a simple linear regression model to the data and to provide its equation (d = a*t + b), along with R2 |
d = R2= |
|
To fit a multiple regression model with a dummy variable representing the weekend, and to provide the regression equation (d = a*t + b*w + c), along with Adjusted R2. |
d = Adjusted R2= |
|
To provide a line graph of the actual demand with a simple regression and multiple a regression overlay. |
[ chart ] |
|
Specifically:
|
In: Statistics and Probability
|
Equilibrium Concentrations |
1 |
2 |
3 |
4 |
5 |
|
[FeSCN2+] |
1.49x10-5 M |
4.69x10-5 M |
7.47x10-5 M |
1.01x10-4 M |
2.65x10-4 M |
|
[Fe3+] |
6.0x10-4 M |
6.0x10-4 M |
6.0x10-4 M |
6.0x10-4 M |
6.0x10-4 M |
|
[SCN-] |
2.0x10-4 M |
4.0x10-4 M |
6.0x10-4 M |
8.0x10-4 M |
1.0x10-3 M |
|
Equilibrium Keq |
124.2 |
195.4 |
207.5 |
210.4 |
441.7 |
Average Keq: 235.8
Does your data support a complete conversion or partial conversion? Based on your results was the measured Keq too high or too low? Explain please.
In: Chemistry
Question 5
a) (1) X~Normal(mean=4, standard deviation=3), (2) Y~Normal(mean=6, standard deviation = 4), and (3) X and Y are independent, then, P(X+Y>13) equals (in 4 decimal places)
Answers options: a) 0.7257, b) 0.3341, c) 0.2743, d) 0.6759, e) none of these
b) Let X~Gamma(4, 1.2). Which of the following is possible R code for computing the probability that X < 2.6?
Answers options: a) dgam(2.6, 4, 1.2), b) pgamma(4, 1.2, 2.6), c) dgamma(2.6, 4, 1.2), d) pgamma(2.6, 4, 1.2), e) None of these
c) If X~Exponential(lambda=2.8), which of the following code computes P(X>2) correctly?
answers options: a) 1-dexp (2, rate=2.8), b) pexp(2, rate=2.8), c) 1-pexp(2, rate=2.8), d) dexp(2, rate=2.8)
d) If X has an Exponential distribution with mean 2.5, which of the following code computes P(X<3) correctly?
Answers options: a) pexp(3, rate=2.5), b) dexp(3, rate=2.5), c) pexp(3, rate=0.4), d) dexp(3, rate=0.4), e) None of these
e) If X1, X2, ..., X100 are independent and identically distributed as Uniform (0,1), the probability that the average of these 100 random variables is less than 0.3 equals , approximately? ( ). Answers options: a) 0.4586, b) 0.5414, c) 0.6406, d) 0.3594, e) None of these
In: Statistics and Probability
Problem 4. The data {(1, 10),(2, 5.49),(3, 0.89),(4, −0.14),(5, −1.07),(6, 0.84)} comes from a model F(x) = (r/ x )+ sx. Use least squares to estimate the parameters r, s.
In: Statistics and Probability
A new magazine, Cycling n’ Running NZ is about to be published. The magazines’ publishers are unsure whether readers of this magazine would be more interested in articles on cycling or articles on running. Accordingly, a study was conducted to find out how interested readers of this magazine would be in articles on either of these topics. The variables to use in answering this question are Cycling and Running. Potential interest in both topics was measured on a five-point semantic differential scale that was anchored 1=Very Uninterested to 5=Very Interested. Is there a difference in the extent of preference for articles about cycling compared to articles about running?
row 1(going down): cycling
Row 2 (going down): running
4 2
3 3
4 1
5 2
5 3
5 1
5 2
3 2
3 2
3 3
3 3
3 4
3 2
2 4
2 2
2 3
2 3
2 4
2 4
2 4
1 4
1 1
1 3
1 2
1 4
1 3
1 2
1 2
1 3
3 1
5 1
4 2
4 2
3 4
2 2
1 4
2 2
5 1
5 2
3 3
3 3
2 2
5 2
2 4
4 1
5 2
4 3
2 1
1 4
4 2
3 4
4 2
1 3
4 2
3 3
2 2
2 5
2 3
4 4
1 2
3 3
3 2
3 4
4 5
3 3
5 1
4 3
4 2
3 3
2 1
5 1
2 4
5 2
3 2
2 1
5 4
3 2
1 3
3 2
3 3
2 2
2 3
4 3
2 4
2 2
4 1
3 5
1 3
5 1
5 3
5 1
4 4
1 3
3 3
1 2
1 4
2 5
2 4
5 2
5 1
2 3
4 1
3 2
3 3
5 1
3 3
2 4
3 2
3 3
2 4
1 4
3 5
5 2
3 1
4 3
4 2
4 2
4 3
2 3
3 4
5 2
3 4
5 1
3 2
5 1
In: Statistics and Probability
3. A package delivery service adopted a new dispatching system to try to reduce the total mileage required by its truck fleet to make deliveries. The new system would be worth the cost if it reduced the fleet mileage by more than 10% from its current level of 2200 miles per day. The miles required for each of the 66 days under a trial of the new system are recorded in column 1 of the Excel data file named “Package Delivery”. Using the given data and 7% level of significance, please conduct an appropriate test to determine if the new dispatching system is worth its cost. Based on your results, do you think the new system is worth its cost? Show the necessary steps and explain your conclusion
| Miles | Day |
| 2475 | 1 |
| 2433 | 2 |
| 2020 | 3 |
| 1975 | 4 |
| 1759 | 5 |
| 1582 | 6 |
| 1635 | 7 |
| 1492 | 8 |
| 1757 | 9 |
| 1690 | 10 |
| 1834 | 11 |
| 2261 | 12 |
| 1845 | 13 |
| 2122 | 14 |
| 1972 | 15 |
| 2056 | 16 |
| 2072 | 17 |
| 2028 | 18 |
| 2063 | 19 |
| 1795 | 20 |
| 1840 | 21 |
| 1762 | 22 |
| 1856 | 23 |
| 2030 | 24 |
| 1996 | 25 |
| 2153 | 26 |
| 2208 | 27 |
| 2049 | 28 |
| 2186 | 29 |
| 2214 | 30 |
| 1934 | 31 |
| 1959 | 32 |
| 1985 | 33 |
| 2026 | 34 |
| 2425 | 35 |
| 2194 | 36 |
| 2035 | 37 |
| 2190 | 38 |
| 2295 | 39 |
| 2152 | 40 |
| 1770 | 41 |
| 1666 | 42 |
| 1673 | 43 |
| 1804 | 44 |
| 1647 | 45 |
| 1754 | 46 |
| 1713 | 47 |
| 1867 | 48 |
| 2402 | 49 |
| 2030 | 50 |
| 1996 | 51 |
| 2153 | 52 |
| 2208 | 53 |
| 2049 | 54 |
| 2265 | 55 |
| 1863 | 56 |
| 1754 | 57 |
| 1761 | 58 |
| 1899 | 59 |
| 1734 | 60 |
| 1846 | 61 |
| 1803 | 62 |
| 1965 | 63 |
| 2528 | 64 |
| 2137 | 65 |
| 2101 | 66 |
In: Statistics and Probability
Create a Graph and label axis - These data come from the 2008 General Social Survey. A subset of 190 respondents were selected at random from the full data set. Use the appropriate Graph either: a. Histograms b. Bar charts c. Box plots d. Stem-and-leaf plots e. Pie charts f. Line charts g. Frequency tables
Variable Information: Religious: 1 = Not religious, 2 = Slightly religious, 3 = Moderately religious, 4 = Very religious.
4 4 2 4 4 4 4 4 4 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 1 1 1 1 1 4 4 4 4 4 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 4 4 4 4 4 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 1 1 1 1 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1
In: Statistics and Probability