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I need this done today by 1400. Original work please.

do problems 1, 2 and 3 (see below)

·  Resource: Ch. 10 of your text.

·  Submit  a Microsoft® Excel® document

 

Problem #1 — Entries for payroll and payroll taxes

The following information about the payroll for the week ended December 30 was obtained from the records of Arnsparger Equipment Co.:

 

Tax rates assumed:

  Social security, 6%

  Medicare, 1.5%

  State unemployment (employer only), 4.5%

  Federal unemployment (employer only), 0.8%

Instructions

Assuming that the payroll for the last week of the year is to be paid on December 31, journalize the following entries:

a. December 30, to record the payroll.

b. December 30, to record the employer’s payroll taxes on the payroll to be paid on December 31. Of the total payroll for the last week of the year, $30,000 is subject to unemployment compensation taxes.

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Problem #2 — Present value of bonds payable; discount

Baliga Co. produces and sells high-quality audio equipment. To finance its operations, Baliga Co. issued $18,000,000 of five-year, 8% bonds with interest payable semiannually at a market (effective) interest rate of 10%.

a.  Determine the present value of the bonds payable, using the present value tables in Chapter 10 of your text. Round to the nearest dollar.

b.  Illustrate the General Journal entry that would be made to record the issuance of the bonds.

Problem #3 —  Bond discount, entries for bonds payable transactions, interest method of amortizing bond discount

 

On July 1, 2012, Bliss Industries, Inc. issued $24,000,000 of 20-year, 11% bonds at a market (effective) interest rate of 12%, receiving cash of $22,194,444.43. Interest on the bonds is payable semiannually on December 31 and June 30. The fiscal year of the company is the calendar year.

Instructions

1.  Journalize the entry to record the amount of cash proceeds from the sale of the bonds

2.  Prepare an amortization table for at least 3 interest periods for this bond issue.

3.  Journalize the entries to record the following:

a.  The first semiannual interest payment on December 31, 2012, and the amortization of the bond discount, using the interest method. (Round to the nearest dollar.)

b.  The interest payment on June 30, 2013, and the amortization of the bond discount, using the interest method. (Round to the nearest dollar.)

4.  Determine the total interest expense for 2012.

 

regression analyses response

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DUE SATURDAY 2/7/15 by 6:00 pm New Yok Time

Responds to these two Posts in a paragrah or more by providing feedback on the regression analyses presented in their posts. Are these regression analyses appropriate? Why or why not? If not, offer suggestions and/or ideas about other analytical tools you think are more appropriate. These do not have to ellobrate but basic level engagement

 

 BOBThe best method of evaluation for the project chosen would be the binary logistic regression method.  The research needed for the study to make sure the New Harbor Port Authority is not racially profiling would need to be dichotomous.  The approach needs to be concise and to the point with no lingering thoughts left to build upon. (Garson, 2009)  The answer needed would need to be yes or no.  The binary logistic regression method goes through the numbers and puts the information on prospective of a positive or a negative. (Johnson, 2014)  With the port authority they need to make sure either they are racially profiling or not racially profiling.  All of the information can be calculated to determine to a number to find out the answer.  Unfortunately if the port authority is racially profiling the numbers will not lie nor will they lie if the port authority is doing the right thing. (Johnson, 2014)

            The binary regression method is a definitive and final answer based on research numbers provided.  Take the numbers and apply them to see if the answer is a positive or a negative.  The binary numbers or the 0’s or 1’s of the research will show the answer if it is a good answer or a not so good answer.  The method used for this study is to define racial profiling.  The answer needs to be a clear yes or no. (Garson, 2009)  There can be no variables such as times of day or das of the week.  The answer needs to be definitive with a numbers stating yes or no.  Without the definitive there will still be a lot of questions to answer.  If there is any opportunity to leave anything in the open it will be exploited.  This is why the binary regression method would be the best for this study. (Johnson, 2014)

 

Resources

Garson, G. D. (2009, April 4). Logistic regression. Retrieved from http://faculty.chass.ncsu.edu/garson/PA765/logistic.htm

Johnson, G. (2014). Research methods for public administrators (3rd Ed.). Armonk, NY: M. E. Sharpe.

Laureate Education (Producer). (2013c). Virtual community. [Multimedia file]. Baltimore, MD: Author

 

2. Mr. Tanner

Binary logistics regression would be the most accurate form of evaluation for my research project. Binary logistic regression is “a form of regression which is used when the dependent is a dichotomy and the independents are of any type”(Garson, 2009, para#1).  When trying to decide rather there is a decrease in the prison system and recidivism there are several variables that contribute. The Binary logistics evaluates division and contrast between two things that are represented as entirely different. Binary logistics works with multiple regression statistics. According to Johnson (2014), “this analytical technique measures several independent variables simultaneously to explain the changes in the dependent variable” (p.219). There are several variables such as jobs, gender, race, support systems, environment, etc. that affect the outcome of rather recidivism decreases and rather prison crowding decrease.

 

There are limitations to binary logistics. Correlation between some independent variables will “throw off the regression model, which works best when the independent variables are not correlated to each other” (Johnson, 2014, p.226). Therefore I would have to be careful when utilizing arrest records against crime rates. They are correlated with one another which can skew the data regarding reduction in crime rates.

 

References:

Johnson, G. (2014). Research methods for public administrators (3rd ed.). Armonk, NY: M. E. Sharpe.

Garson, G. D. (2009, April 4). Logistic regression. Retrieved from  http://faculty.chass.ncsu.edu/garson/PA765/logistic.htm

 

What steps can you suggest that might help John solve his labor problems for the new plant in Tokyo?