Office equipment was purchased on January 2, 2006 for $170,000, with an estimated life of 8 years and a residual value of $10,000. It is sold on June 30, 2012 for $60,000 cash. (Assume all appropriate entries for depreciation had been made for the first six years of use - 2006 through 2011, but not for the half year in 2012.) Journalize the following entries:

(a) Journalize the depreciation for the one-half year prior to the sale, using the straight-line method.           

(b) Journalize the sale of the equipment.

Format: Use the Chart of Accounts to enter correct account name. Enter debits and credits as whole numbers WITH COMMAS, but NO DECIMALS OR DOLLAR SIGNS!

1. Between 1982 and 2006, the S(¥/$) exchange rate moved from S(¥/$) 249.05 to S(¥/$) 116.34. During this same 25-year period, the consumer price index (CPI) in Japan rose from 80.75 to 97.72, and the CPI in the US rose from 56.06 to 117.07.

1. If PPP held over this 25-year period, what should the S(¥/$) exchange rate have been in 2006?

2. Was there a real appreciation or depreciation in the ¥ over this 25-year period (be sure to provide quantitative justification for your answer)?

3. Were there likely any associated positive or negative competitive pressures on Japanese exporters vs importers? If so, what likely happened to the competitive position of Japanese exporters? Japanese importers? Why (briefly)?

(1 point) The table below lists the weights of some colleage students in September and later in February of their freshman year. September weight 62 54 71 65 53 58 74 49 66 56 69 74 61 56 71 51 70 52 70 78 59 60 73 60 February weight 67 53 67 71 56 56 77 54 67 55 64 70 56 59 74 56 69 53 65 72 59 57 77 54 At the 0.05 significance level, test the claim of no difference between September weights and February weights. The test statistic is

The critical value is

3. [8 marks] Suppose a survey is conducted by Ipsos, a Canadian market research polling firm, on user satisfaction with cell phone coverage across the country. They sample 10 customers at random without replacement. Assume all sampled customers are independent. Suppose 30% of users nationwide are satisfied with their cell phone coverage.

a) [5 marks] Calculate the probability that 3 or more of the 10 randomly sampled cell phone customers are satisfied with their cell phone coverage.

b) [1 mark] Why is the probability that exactly 3 out of the 10 randomly sampled customers are satisfied with their cell phone coverage different from 0.3? Please answer in at most three sentences.

c) [1 mark] On average, in a sample of 10 customers, how many do you expect to be satisfied with their cell phone coverage?

d) [1 mark] Calculate the variance of the random variable associated with the number of satisfied customers.

Fast Turnstiles Co. is evaluating the extension of credit to a new group of customers. Although these customers will provide $270,000 in additional credit sales, 9 percent are likely to be uncollectible. The company will also incur $16,700 in additional collection expense. Production and marketing costs represent 75 percent of sales. The firm is in a 35 percent tax bracket and has a receivables turnover of four times. No other asset buildup will be required to service the new customers. The firm has a 8 percent desired return.  

a-1. Calculate the incremental income after taxes.  
  

    

a-2. Calculate the return on incremental investment. (Input your answer as a percent rounded to 2 decimal places.)
  

   

a-3. Should Fast Turnstiles Co. extend credit to these customers?
  

  

b-1. Calculate the incremental income after taxes if 12 percent of the new sales prove to be uncollectible.
  

   

b-2. Calculate the return on incremental investment if 12 percent of the new sales prove to be uncollectible. (Input your answer as a percent rounded to 2 decimal places.)
  

     

b-3. Should credit be extended if 12 percent of the new sales prove uncollectible?
  

  

c-1. Calculate the return on incremental investment if the receivables turnover drops to 2.0, and 9 percent of the accounts are uncollectible. (Input your answer as a percent rounded to 2 decimal places.)
  

   

c-2. Should credit be extended if the receivables turnover drops to 2.0, and 9 percent of the accounts are uncollectible?
  

Fast Turnstiles Co. is evaluating the extension of credit to a new group of customers. Although these customers will provide $126,000 in additional credit sales, 9 percent are likely to be uncollectible. The company will also incur $15,900 in additional collection expense. Production and marketing costs represent 70 percent of sales. The firm is in a 35 percent tax bracket and has a receivables turnover of four times. No other asset buildup will be required to service the new customers. The firm has a 10 percent desired return.  

a-1. Calculate the incremental income after taxes.  
  

    

a-2. Calculate the return on incremental investment. (Input your answer as a percent rounded to 2 decimal places.)
  

   

a-3. Should Fast Turnstiles Co. extend credit to these customers?
  

  

b-1. Calculate the incremental income after taxes if 12 percent of the new sales prove to be uncollectible.
  

   

b-2. Calculate the return on incremental investment if 12 percent of the new sales prove to be uncollectible. (Input your answer as a percent rounded to 2 decimal places.)
  

     

b-3. Should credit be extended if 12 percent of the new sales prove uncollectible?
  

  

c-1. Calculate the return on incremental investment if the receivables turnover drops to 2.0, and 9 percent of the accounts are uncollectible. (Input your answer as a percent rounded to 2 decimal places.)
  

   

c-2. Should credit be extended if the receivables turnover drops to 2.0, and 9 percent of the accounts are uncollectible?

Fast Turnstiles Co. is evaluating the extension of credit to a new group of customers. Although these customers will provide $486,000 in additional credit sales, 12 percent are likely to be uncollectible. The company will also incur $17,800 in additional collection expense. Production and marketing costs represent 75 percent of sales. The firm is in a 35 percent tax bracket and has a receivables turnover of four times. No other asset buildup will be required to service the new customers. The firm has a 12 percent desired return. a-1. Calculate the incremental income after taxes. a-2. Calculate the return on incremental investment. (Input your answer as a percent rounded to 2 decimal places.) a-3. Should Fast Turnstiles Co. extend credit to these customers? Yes No b-1. Calculate the incremental income after taxes if 15 percent of the new sales prove to be uncollectible. b-2. Calculate the return on incremental investment if 15 percent of the new sales prove to be uncollectible. (Input your answer as a percent rounded to 2 decimal places.) b-3. Should credit be extended if 15 percent of the new sales prove uncollectible? Yes No c-1. Calculate the return on incremental investment if the receivables turnover drops to 1.5, and 12 percent of the accounts are uncollectible. (Input your answer as a percent rounded to 2 decimal places.) c-2. Should credit be extended if the receivables turnover drops to 1.5, and 12 percent of the accounts are uncollectible? Yes No

Currently a company that designs Web sites has five customers in its backlog. The time since the order​ arrived, processing​ time, and promised due dates are given in the following table. The customers are ready to be scheduled​ today, which is the start of day

190.

a. Develop separate schedules by using the FCFS and EDD rules. Compare the schedules on the basis of average flow time and average days past due.

Using the FCFS​ (first come, first​ served) decision rule for sequencing the​ customers, the order​ is:

Using the EDD​ (earliest due​ date) decision rule for sequencing the​ customers, the order is​ (to resolve a​ tie, use the order in which the jobs were​ received):

The average flow time and average days past due for each option​ are: ​(Enter your responses rounded to one decimal​ place.)

Suppose you work at a local state hospital. In 2015, the infectious disease department of the hospital was operating at max capacity. Your supervisor has given you the job of presenting to the hospital leadership board about the number of patients who contracted infections while at 30 different hospitals in your state in 2015. The board will use your findings to make informed decisions about possible expansion of the infectious disease department. You will review the data, create visuals for the data, and create a presentation for the hospital leadership board to help with the decision.

2015
Hospital   Infections *Secondary column are the # of infections*
1 89
2 58
3 96
4 206
5 31
6 16
7 249
8 79
9 29
10 6
11 222
12 108
13 58
14 54
15 81
16 64
17 9
18 130
19 37
20 121
21 27
22 6
23 95
24 7
25 18
26 37
27 140
28 74
29 134
30 184

   Infections
Min=
Q1=   
Median=   
Q3=   
Max=   

Check for Outliers  
IQR=   
Lower=   
Upper=   

Infection Class Frequency
6 - 81=   
82 - 156=
157-231=   
232-306=   

•   Use the following data to complete the values, a histogram, box & whisker plot, bell curve with distribution, and answer the following questions below.
•   How did the outliers impact the mean and median? How did they impact the histogram?
•   How would you describe the shape of your histogram? Is it skewed?
•   Which do you think is a better measure of central tendency, median or mean? Why?
•   How would you describe how spread out your data is? What did you calculate or which visual supports your conclusion on how spread out the data is?
•   How does your data support your conclusion?

Two major automobile manufacturers have produced compact cars with the same size engines. We are interested in determining whether or not there is a significant difference in the MPG (miles per gallon) of the two brands of automobiles. A random sample of eight cars from each manufacturer is selected, and eight drivers are selected to drive each automobile for a specified distance. The following data show the results of the test and if the variance of MPG is the same, Driver Manufacturer A Manufacturer B 1 32 28 2 27 22 3 26 27 4 26 24 5 25 24 6 29 25 7 31 28 8 27 27 Refer to Exhibit 6. The test statistic and the p-value at 99% confidence level are