Interpreting stock quotes
Assume that the following quote for the Walt Disney Company, a NYSE stock, appeared on May 1, 2015 (Friday) on Yahoo! Finance ( http://finance.yahoo.com/q?s=DIS&ql=1):
The Walt Disney Company (DIS) - NYSE
110.52 ↑ 1.80(1.66%) 4:01PM EDT
| Prev Close: | 108.72 | Day's Range: | 109.27 - 110.67 |
| Open: | 109.79 | 52wk Range: | 78.54 - 111.66 |
| Bid: | 110.81 x 400 | Volume: | 6,205,116 |
| Ask: | 110.95 x 500 | Avg Vol (3m): | 6,394,880 |
| 1y Target Est: | 110.23 | Market Cap: | 187.84B |
| Beta: | 1.1 | P/E (ttm) | 24.57 |
| Next Earnings Date: | 5-May-15 | EPS (ttm): | 4.50 |
| Div & Yield: | 1.15 (1.10%) |
Given this information, answer the following
questions.
| Highest price | $ |
| Lowest price | $ |
In: Finance
The following financial statement information is for an investor company and an investee company on January 1, 2013. On January 1, 2013, the investor company's common stock had a traded market value of $10.5 per share, and the investee company's common stock had a traded market value of $19 per share.
| Book Values | Fair Values | |||
|---|---|---|---|---|
| Investor | Investee | Investor | Investee | |
| Receivables & inventories | $60,000 | $30,000 | $54,000 | $27,000 |
| Land | 120,000 | 60,000 | 180,000 | 90,000 |
| Property & equipment | 135,000 | 60,000 | 150,000 | 78,000 |
| Trademarks & patents | _ | _ | 90,000 | 48,000 |
| Total assets | $315,000 | $150,000 | $474,000 | $243,000 |
| Liabilities | $90,000 | $48,000 | $108,000 | $57,000 |
| Common stock ($1 par) | 18,000 | 10,000 | ||
| Additional paid-in capital | 162,000 | 86,000 | ||
| Retained earnings | 45,000 | 6,000 | ||
| Total liabilities & equity | $315,000 | $150,000 | ||
| Net assets | $225,000 | $102,000 | $366,000 | $186,000 |
Asset acquisition (market value is different from book
value)
Assume that the investor company issued 18,000 new shares of the
investor company's common stock in exchange for all of the
individually identifiable assets and liabilities of the investee
company, in a transaction that qualifies as a business combination.
The financial information presented, above, was prepared
immediately before this transaction. Provide the Investor Company's
balance (i.e., on the investor's books, before consolidation) for
"Goodwill" immediately following the acquisition of the investee's
net assets:
In: Accounting
Gulf Delivery Service, Inc. completed the following transactions during January, 2018:
1Shareholders invested in the business $25,000 cash and a delivery truck valued at $35,000 in exchange for common stock.
2.Purchased supplies for $1,000 cash.
3.Paid $2,400 for a one-year insurance policy, effective January1.
3.Performed delivery services for a customer and received $2,500 cash.
4.Completed a large delivery job for a customer on account for $8,000.
5.Paid $6,000 for employee salaries.
6.Performed delivery services for customers and received $55,000 cash.
7.Collected $4,000 in advance for delivery service to be performed later.
8.Collected $3,000 cash from a customer on account.
9.Purchased fuel for the truck , paying $1,500 with a company credit card (Credit accounts payable).
10.Performed delivery services on account, $4,500.
11.Paid office rent $2,500.
12.Paid $500 for accounts payable.
13.Paid cash dividends of $10,000.
a.
Record each transaction in the journal. Key each transaction by its letter (Explanations are not required).
b.Post the transactions that you recorded in requirement 1 to the ledger accounts using T-accounts. The ledger for Gulf Delivery Service contains the following accounts:
Cash Service revenue
Accounts receivable Salaries expense
Supplies Depreciation expense
Prepaid insurance Insurance expense
Delivery truck Fuel expense
Accumulated depreciation rent expense
Accounts payable supplies expense
Salaries payable
Unearned service revenue
Common stock
Retained earnings
Dividends
Income summary
In: Accounting
A manager for an insurance company believes that customers have the following preferences for life insurance products: 20% prefer Whole Life, 20% prefer Universal Life, and 60% prefer Life Annuities. The results of a survey of 200 customers were tabulated. Is it possible to refute the sales manager's claimed proportions of customers who prefer each product using the data?
| Product | Number |
|---|---|
| Whole | 36 |
| Universal | 58 |
| Annuities | 106 |
1. State the null and alternative hypothesis.
2. Determine which distribution to use for the test statistic and state the level of significance.
3. Gather data and calculate the necessary sample statistics.
4. Draw a conclusion and interpret the decision.
In: Statistics and Probability
In: Economics
Use the simple exchange-rate model (supply and demand model for foreign exchange market) to answer the following questions.
2.1. Assume an initial equilibrium level for price and quantity in the US versus China exchange rate market. Plot the exchange rate of US dollars per Chinese yuan versus the quantity of Chinese yuans traded. Then graphically simulate the impact of an increase in tariffs imposed by the US on Chinese goods and indicate your forecast for the potential changes in the exchange rate and quantity of Chinese yuans traded.
2.2. Assume an initial equilibrium level for price and quantity in the US versus Mexico exchange rate market. Plot the exchange rate of US dollars per Mexican peso versus the quantity of pesos traded. Then graphically simulate the impact of an increase in Mexico’s productivity relatively to the US, and indicate your forecast for the potential changes in the exchange rate and quantity of pesos traded.
In: Economics
The cellular phone market is a huge market, but it's a new one. For the time being, there are few established rules for the production and advertisement of cell phones. ClairLinx Wireless, a start-up cell phone company, is trying to decide if it should market specific phone service plans to specific groups of customers. ClairLinx divides its market of potential customers into three major groups: single, working; married, working; and retired.
ClairLinx surveyed 500 potential customers (chosen at random) and asked each, "Of the following, which do you consider to be the most important feature in a cell phone service plan: free nights and weekends, free long distance and roaming, or free calls to customers with the same company?"
Each of the 500 potential customers in the survey was categorized according to the service plan feature she considers most important and the customer group in which she appears. The data are summarized in Table 1 below. In the cells of this contingency table are three numbers: the first number is the observed cell frequency (fO); the second number is the expected cell frequency (fE) under the assumption that the two variables type of potential customer and choice of service plan feature are not related; and the third number is the value
(Observed Cell Frequency-Expected Cell Frequency)^2/Expected Cell Frequency
The numbers labeled "Total" are totals for observed frequency.
Fill in the missing values of Table 1. Round your expected frequencies to at least two decimal places, and round your (Observed Cell Frequency-Expected Cell Frequency)^2/Expected Cell Frequency values to at least three decimal places. Then, using the 0.05 level of significance, perform a test of the hypothesis that the two variables type of potential customer and choice of service plan feature are not related. Complete Table 2 based on your test.
| Table 1: Contingency Table | |||||
| Choice of service plan feature | |||||
| Type of potential customer | Free calls to other customers | Free nights and weekends | Free long-distance and roaming | Total | |
| Single, working | 23 | 46 | 74 | 143 | |
| 41.76 | |||||
| 0.430 | |||||
| Married, working | 43 | 63 | 90 | 196 | |
| 57.23 | |||||
| 0.582 | |||||
| Retired | 32 | 37 | 92 | 161 | |
| 31.56 | 47.01 | 82.43 | |||
| 0.006 | 2.131 | 1.111 | |||
| Total | 98 | 146 | 256 | 500 | |
| Table 2: Summary of the Hypothesis Test | |||||
| The type of test statistic: | (Choose one)ZtChi squareF | ||||
| The value of the
test statistic: (Round your answer to at least two decimal places.) |
|||||
| The critical value
for a test at the
0.05 level of significance:(Round your answer to at least two decimal places.) |
|||||
| Can we conclude that the variables type of potential customer and choice of service plan feature are related? Use the 0.05 level of significance. | Yes | No | |||
In: Statistics and Probability
|
The U.S. Dairy Industry wants to estimate the mean yearly milk consumption. A sample of 21 people reveals the mean yearly consumption to be 74 gallons with a standard deviation of 16 gallons. Assume that the population distribution is normal. (Use t Distribution Table.) |
| a-1. | What is the value of the population mean? | ||||||
|
| a-2. | What is the best estimate of this value? |
| Estimate population mean |
| c. |
For a 90% confidence interval, what is the value of t? (Round your answer to 3 decimal places.) |
| Value of t |
| d. |
Develop the 90% confidence interval for the population mean. (Round your answers to 3 decimal places.) |
| Confidence interval for the population mean is and . |
| e. | Would it be reasonable to conclude that the population mean is 68 gallons? | ||||||
|
In: Statistics and Probability
|
The U.S. Dairy Industry wants to estimate the mean yearly milk consumption. A sample of 21 people reveals the mean yearly consumption to be 74 gallons with a standard deviation of 16 gallons. Assume that the population distribution is normal. (Use t Distribution Table.) |
| a-1. | What is the value of the population mean? | ||||||
|
| a-2. | What is the best estimate of this value? |
| Estimate population mean |
| c. |
For a 90% confidence interval, what is the value of t? (Round your answer to 3 decimal places.) |
| Value of t |
| d. |
Develop the 90% confidence interval for the population mean. (Round your answers to 3 decimal places.) |
| Confidence interval for the population mean is and . |
| e. | Would it be reasonable to conclude that the population mean is 68 gallons? | ||||||
|
In: Statistics and Probability
| Number of Customers | Waiting Time (Minutes) |
| 5 | 47 |
| 2 | 27 |
| 4 | 36 |
| 4 | 44 |
| 6 | 52 |
| 3 | 21 |
| 7 | 82 |
| 3 | 43 |
| 8 | 69 |
| 4 | 28 |
Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, no-shows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system.† However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x) and actual waiting time (in minutes) (dependent variable y). The estimated regression equation is:
ŷ = 4.35 + 8.81x
and MSE = 94.42.
(a)
Develop a point estimate (in min) for a customer who arrives with four people on the wait-list. (Round your answer to two decimal places.)
ŷ* = min
(b)
Develop a 95% confidence interval for the mean waiting time (in min) for a customer who arrives with four customers already in line. (Round your answers to two decimal places.)
min to min
(c)
Develop a 95% prediction interval for Roger and Sherry Davy's waiting time (in min) if there are four customers in line when they arrive. (Round your answers to two decimal places.)
min to min
(d)
Discuss the difference between part (b) and part (c).
The prediction interval is much ---Select--- wider narrower than the confidence interval. This is because it is ---Select--- more less difficult to predict the waiting time for an individual customer arriving with four people in line than it is to estimate the mean waiting time for a customer arriving with four people in line.
In: Statistics and Probability