Hudson Corporation’s balance sheet at December 31, 2016, is presented below.

Hudson Corporation
Balance Sheet
December 31, 201

During January 2016, the following transactions occurred. Hudson Corporation uses the perpetual inventory method.

Jan. 1 Hudson Corporation accepted a 4-month, 8% note from Betheny Company in payment of Betheny’s $ 1,200 account.

Jan 3 Hudson Corporation wrote off as uncollectible the accounts of Walter Corporation ($ 450) and Drake Company ($ 280).

Jan 8 Hudson Corporation purchased $ 17,200 of inventory on account.

Jan 11 Hudson Corporation sold for $ 25,000 on account inventory that cost $ 17,500.

Jan 15 Hudson Corporation sold inventory that cost $ 700 to Jack Rice for $ 1,000. Rice charged this amount on his Visa First Bank card. The service fee charged Hudson Corporation by First Bank is 3%.

Jan 17 Hudson Corporation collected $ 22,900 from customers on account.

Jan 21 Hudson Corporation paid $ 16,300 on accounts payable.

Jan 24 Hudson Corporation received payment in full ($ 280) from Drake Company on the account written off on January 3.

Jan 27 Hudson Corporation purchased advertising supplies for $ 1,400 cash.

Jan 31 Hudson Corporation paid other operating expenses, $ 3,218.

Adjustment data:

1. Interest is recorded for the month on the note from January 1.

2. Bad debts are expected to be 6% of the January 31, 2017, accounts receivable.

3. A count of advertising supplies on January 31, 2017, reveals that $ 560 remains unused.

4. The income tax rate is 30%. (Hint: Prepare the income statement up to “Income before taxes” and multiply by 30% to compute the amount; round to whole dollars.)

Prepare an income statement

Using the Patients dataset, create a scatter plot (similar to Figure 13.5) with patient’s age on the x-axis and length of stay on the y-axis. Make sure that you fully label this chart (title for the chart, x-axis, and y-axis). (5 points)

Follow the directions in EG13.2 (Excel Guide) at the end of Chapter 13 and create a linear trend line along with the linear regression equation and R-squared value. Interpret both the linear regression equation and the R-squared value. (10 points)

Now calculate the correlation coefficient and interpret it. What do you conclude about the relationship between a patient’s age and length of stay? (5 points)

Using the existing regression equation, what would you predict the revenue of a team to be if the coach’s salary is .5 million and the winning percentage is 30 percent? Select one: a. 12 Million b. 14.8 Million c. 15.0 Million d. 14.2 Million e. Cannot be determined from the data.

Crane Company sells tablet PCs combined with Internet service, which permits the tablet to connect to the Internet anywhere and set up a Wi-Fi hot spot. It offers two bundles with the following terms.
(A):Prepare any journal entries to record the revenue arrangement for Crane Bundle A on January 2, 2020, and December 31, 2020.

(B) Prepare any journal entries to record the revenue arrangement for Crane Bundle B on July 1, 2020, and December 31, 2020.

(C)Repeat the requirements for part (a), assuming that Crane Company has no reliable data with which to estimate the standalone selling price for the Internet service.

Suppose that Company A had three paying consumers in the month of April 2016. The customer journey of these three consumers and the respective revenue from the sale is presented in the table below.

Assume that the company uses the time decay attribution model to ascertain revenue sharing across the digital marketing channels. The time decay is set up such that the channel closest to the sale is given and attribution of 50%, followed by 30%, 15% and 5% attributed respectively to channels preceding it in decreasing order of closeness to sale as shown in the table below:

A. For the scenario depicted in the document the share of revenue for Paid Search channel is ... a. $190 b. $210 c. $180 d. $200

B. For the scenario depicted in the document which channel gets the highest share of revenue?....a. direct b. paid search ad C. organic D. email

C. IF the company had employed a linear attribution model the share of revenue for direct channel would have been: A. $158 b. $206.25 c. $190.25 d. $190

D. For the scenario depicted in the document which channel gets the lowest share of the revenue? a. Organic b. Direct c. Paid Search Ad d. Email

“Compared with people at low-trust companies, people at high-trust companies report: 74% less stress, 106% more energy at work, 50% higher productivity, 13% fewer sick days, 76% more engagement, 29% more satisfaction with their lives, 40% less burnout.”

Task:
Respond to the following questions in 1 page
Assume you have been appointed the new managing director (MD) of a manufacturing plant in Mexico. The company is expected to transition from a unionized to a non-unionized employee relation.

Highlight 3 strategies to be implemented by middle level managers to ensure the organization upholds the value of trust.

How do you evaluate for continuous trust among stakeholders of the organization (employees, community, and suppliers)?

6. List the players that have either won more than 2 matches or lost more than 2 matches. List the player number, name, initials, won, and lost. Insert your snip here.

7. Which players are captains of a team and have ever served as a committee members? Display the player number, player name, initials, team number, and committee member position. This will require 3 tables. Insert your snip here.

8. Using a subquery, have any other players been penalized the same amount as player 8? Let MySQL do the work for you. Do not explicitly query for $25. Display the player number, player name, initials, and amount. Insert your snip here.

9. Who has played more than 2 matches? Display the player number as ‘Number’, concatenate the player name (initials, space, name) as ‘Name’, and the number of matches played as ‘Number of Matches’. Insert your snip here.

10. Sum the number of match wins and losses by player number. Display the player number as ‘Number’, concatenate the player name (initials, space, name) as ‘Name’, wins as ‘Total Wins’, and losses and ‘Total Losses’. Insert your snip here.

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Create database tennis;

USE tennis;

#--Create table players and fill it--------------------------

Create table players
(
playerno   int       not null    primary key,
name       varchar(15)   not null,
initials   varchar(3),
birth_date   date,
gender       char(1),
joined       int   not null,
street       varchar(15)   not null,
houseno       varchar(4),
zip       char(6),
town       varchar(10)   not null,
phoneno       char(10),
leagueno   char(4)
);

Insert into players values
(2,'Everett','R','1988-01-09','M',2000,'Stoney Road','43','3575NH','Stratford','070-237893','2411'),
(6,'Paramenter','R','1984-06-25','M',2002,'Haseltine Lane','80','1234KK','Stratford','070-476547','8467'),
(7,'Wise','GWS','1983-05-11','M',2006,'Edgecombe Way','39','9758VB','Stratford','070-347689',Null),
(8,'Newcastle','B','1982-07-08','F',2005,'Station Road','4','6584RO','Inglewood','070-458458','2983'),
(27,'Collins','DD','1990-05-10','F',2008,'Long Drive','804','8457DK','Eltham','079-234857','2513'),
(28,'Collins','C','1983-06-22','F',2008,'Old Main 28','10','1294QK','Midhurst','071-659599',Null),
(39,'Bishop','D','1986-10-29','M',2005,'Eaton Square','78','9629CD','Stratford','070-393435',Null),
(44,'Baker','E','1983-09-01','M',2010,'Lewis Street','23','4444LJ','Inglewood','070-368753','1124'),
(57,'Brown','M','1981-08-17','M',2007,'Edgecombe Way','16','4377CB','Stratford','070-473458','6409'),
(83,'Hope','PK','1976-11-11','M',2009,'Magdalene Road','16A','1812UP','Stratford','070-353548','1608'),
(94,'Miller','P','1993-05-14','M',2013,'High Street','33A','5746OP','Douglas','070-867564',Null),
(100,'Parmenter','P','1983-02-28','M',2012,'Haseltine Lane','80','1234KK','Stratford','070-494593','6524'),
(104,'Moorman','D','1990-05-10','F',2014,'Stout Street','65','9437AO','Eltham','079-987571','7060'),
(112,'Bailey','IP','1983-10-01','F',2014,'Vixen Road','8','6392LK','Plymouth','010-548745','1319');

#--Create the table committee_members and fill it--------------------

Create table committee_members
(
playerno   int   not null,
begin_date   date   not null,
end_date   date,
position   varchar(20),
primary key(playerno, begin_date)
);

Insert into committee_members values
(2,'2010-01-01','2012-12-31','Chairman'),
(2,'2014-01-01',Null,'General Member'),
(6,'2010-01-01','2010-12-31','Secretary'),
(6,'2011-01-01','2012-12-31','General Member'),
(6,'2012-01-01','2013-12-31','Treasurer'),
(6,'2013-01-01',Null,'Chairman'),
(8,'2010-01-01','2010-12-31','Treasurer'),
(8,'2011-01-01','2011-12-31','Secretary'),
(8,'2013-01-01','2013-12-31','General Member'),
(8,'2014-01-01',Null,'General Member'),
(27,'2010-01-01','2010-12-31','General Member'),
(27,'2011-01-01','2011-12-31','Treasurer'),
(27,'2013-01-01','2013-12-31','Treasurer'),
(57,'2012-01-01','2012-12-31','Secretary'),
(94,'2014-01-01',Null,'Treasurer'),
(112,'2012-01-01','2012-12-31','General Member'),
(112,'2014-01-01',Null,'Secretary');

#--Create the table matches and Fill it-------------------

Create table matches
(
matchno       int   not null   Primary Key,
teamno       int   not null   references teams(teamno),
playerno   int   not null   references players(playerno),
won       int,
lost       int
);

Insert into matches values
(1,1,6,3,1),
(2,1,6,2,3),
(3,1,6,3,0),
(4,1,44,3,2),
(5,1,83,0,3),
(6,1,2,1,3),
(7,1,57,3,0),
(8,1,8,0,3),
(9,2,27,3,2),
(10,2,104,3,2),
(11,2,112,2,3),
(12,2,112,1,3),
(13,2,8,0,3);

#--Create Table Penalties and Fill it-------------------------------------

create table Penalties
(
paymentno   int   not null   Primary Key,
playerno   int   not null   references players(playerno),
payment_Date   date   not null,
amount   decimal(10,2)   not null
);

Insert into Penalties values
(1,6,'2010-12-08',100.00),
(2,44,'2011-05-05',75.00),
(3,27,'2013-09-10',100.00),
(4,104,'2014-07-08',50.00),
(5,44,'2010-12-08',25.00),
(6,8,'2010-12-08' ,25.00),
(7,44,'2012-12-30',30.00),
(8,27,'2014-08-12',75.00);

#--Create Table Teams and Fill it----------------------------------------------

Create table teams
(
teamno   int   Primary Key   Not Null,
playerno   int   Not Null   references players(playerno),
division   varchar(6)
);

Insert into teams values
(1,6,'first'),
(2,27,'second');

/* ********************************************************************************************
End of loading the database
******************************************************************************************** */

1.Which players have lost more matches than the average number of losses?   No duplicates should be listed.   Order by player number.   Insert your screen shot here.

2.How many players from each town served on the committee in any capacity? Display the town as ‘Town’ and the number served as ‘Committee Service’.   Insert your screenshot here.

3.How many members come from each town? Display the town as ‘Town’ and the number of members as ‘Number’. Insert your screenshot here.

4.Who has served on the committee more than once? Display the player number as ‘Number’, concatenate the player initial and name as ‘Name’, town as ‘Town’, and number served as ‘Terms’. Insert your screenshot here.

Below I will include the tennis database

* *******************************************************************

CREATE and OPEN the TENNIS Base

******************************************************************* */

Create database tennis;

USE tennis;

#--Create table players and fill it--------------------------

Create table players

(

playerno              int                         not null                primary key,

name                    varchar(15)         not null,

initials   varchar(3),

birth_date           date,

gender                 char(1),

joined                   int          not null,

street                   varchar(15)         not null,

houseno                             varchar(4),

zip                         char(6),

town                     varchar(10)         not null,

phoneno                             char(10),

leagueno             char(4)

);

Insert into players values

(2,'Everett','R','1988-01-09','M',2000,'Stoney Road','43','3575NH','Stratford','070-237893','2411'),

(6,'Paramenter','R','1984-06-25','M',2002,'Haseltine Lane','80','1234KK','Stratford','070-476547','8467'),

(7,'Wise','GWS','1983-05-11','M',2006,'Edgecombe Way','39','9758VB','Stratford','070-347689',Null),

(8,'Newcastle','B','1982-07-08','F',2005,'Station Road','4','6584RO','Inglewood','070-458458','2983'),

(27,'Collins','DD','1990-05-10','F',2008,'Long Drive','804','8457DK','Eltham','079-234857','2513'),

(28,'Collins','C','1983-06-22','F',2008,'Old Main 28','10','1294QK','Midhurst','071-659599',Null),

(39,'Bishop','D','1986-10-29','M',2005,'Eaton Square','78','9629CD','Stratford','070-393435',Null),

(44,'Baker','E','1983-09-01','M',2010,'Lewis Street','23','4444LJ','Inglewood','070-368753','1124'),

(57,'Brown','M','1981-08-17','M',2007,'Edgecombe Way','16','4377CB','Stratford','070-473458','6409'),

(83,'Hope','PK','1976-11-11','M',2009,'Magdalene Road','16A','1812UP','Stratford','070-353548','1608'),

(94,'Miller','P','1993-05-14','M',2013,'High Street','33A','5746OP','Douglas','070-867564',Null),

(100,'Parmenter','P','1983-02-28','M',2012,'Haseltine Lane','80','1234KK','Stratford','070-494593','6524'),

(104,'Moorman','D','1990-05-10','F',2014,'Stout Street','65','9437AO','Eltham','079-987571','7060'),

(112,'Bailey','IP','1983-10-01','F',2014,'Vixen Road','8','6392LK','Plymouth','010-548745','1319');

#--Create the table committee_members and fill it--------------------

Create table committee_members

(

playerno              int          not null,

begin_date          date       not null,

end_date             date,

position               varchar(20),

primary key(playerno, begin_date)

);

Insert into committee_members values

(2,'2010-01-01','2012-12-31','Chairman'),

(2,'2014-01-01',Null,'General Member'),

(6,'2010-01-01','2010-12-31','Secretary'),

(6,'2011-01-01','2012-12-31','General Member'),

(6,'2012-01-01','2013-12-31','Treasurer'),

(6,'2013-01-01',Null,'Chairman'),

(8,'2010-01-01','2010-12-31','Treasurer'),

(8,'2011-01-01','2011-12-31','Secretary'),

(8,'2013-01-01','2013-12-31','General Member'),

(8,'2014-01-01',Null,'General Member'),

(27,'2010-01-01','2010-12-31','General Member'),

(27,'2011-01-01','2011-12-31','Treasurer'),

(27,'2013-01-01','2013-12-31','Treasurer'),

(57,'2012-01-01','2012-12-31','Secretary'),

(94,'2014-01-01',Null,'Treasurer'),

(112,'2012-01-01','2012-12-31','General Member'),

(112,'2014-01-01',Null,'Secretary');

#--Create the table matches and Fill it-------------------

Create table matches

(

matchno                             int          not null Primary Key,

teamno                int          not null references teams(teamno),

playerno              int          not null references players(playerno),

won                      int,

lost                       int

);

Insert into matches values

(1,1,6,3,1),

(2,1,6,2,3),

(3,1,6,3,0),

(4,1,44,3,2),

(5,1,83,0,3),

(6,1,2,1,3),

(7,1,57,3,0),

(8,1,8,0,3),

(9,2,27,3,2),

(10,2,104,3,2),

(11,2,112,2,3),

(12,2,112,1,3),

(13,2,8,0,3);

#--Create Table Penalties and Fill it-------------------------------------

create table Penalties

(

paymentno         int          not null Primary Key,

playerno              int          not null references players(playerno),

payment_Date   date       not null,

amount decimal(10,2)     not null

);

Insert into Penalties values

(1,6,'2010-12-08',100.00),

(2,44,'2011-05-05',75.00),

(3,27,'2013-09-10',100.00),

(4,104,'2014-07-08',50.00),

(5,44,'2010-12-08',25.00),

(6,8,'2010-12-08' ,25.00),

(7,44,'2012-12-30',30.00),

(8,27,'2014-08-12',75.00);

#--Create Table Teams and Fill it----------------------------------------------

Create table teams

(

teamno int          Primary Key        Not Null,

playerno              int          Not Null               references players(playerno),

division varchar(6)

);

Insert into teams values

(1,6,'first'),

(2,27,'second');

/* ********************************************************************************************

End of loading the database

******************************************************************************************** */

A telephone company claims that 20% of its customers have a landline telephone. The company selects a random sample of 500 customers and finds that 88 have a landline. At a .05 level of significance, is the company’s claim valid. Use the P-value approach. Clearly state the null and alternative hypothesis, locate the claim and state the decision.

A telephone company claims that 20% of its customers have a landline telephone. The company selects a random sample of 500 customers and finds that 88 have a landline. At a .05 level of significance, is the company’s claim valid. Use the P-value approach. Clearly state the null and alternative hypothesis, locate the claim and state the decision.