Kindly check Case Below and if possible to answer the question at the end of the case.

Beckett Organics
John Beckett enjoys vegetables, so much so that he has given up his full-time job as a lawyer to concentrate on growing and marketing organic vegetables. He started growing vegetables 20 years ago in his back garden and eventually became fully self-sufficient in supplying vegetables for the family. Partly bored with his legal job and tempted by an attractive severance package, John decided he would try to establish his own vegetable supply business. Eighteen months ago he looked around for two fields to lease in which he could grow organic vegetables.
Organic products including vegetables, is a growth market in the UK. Growers must adhere to strict guidelines in order to gain organic certification. Increasing awareness of the problems associated with many pesticides and fertilizers, coupled with an increased interest in healthy eating habits and ‘wholesome’ food, has meant that many consumers are now either purchasing or interested in purchasing organic vegetables. This is true not only of household customers, but in addition, many restaurants are using the lure of organic produce to give them a distinctive edge in the market place. All this has meant that many of the larger supermarkets in the UK have begun to stock more and more organic produce from what was a relatively specialized market in the 1990s; the market has grown to where overall organic produce accounts for some 12% of the total UK grocery market and in worldwide terms as of January 2010 it accounts for approximately 3% of all food sales. The market for organic vegetables has grown more rapidly than other organic products and it is estimated that by 2018 some 40% of all vegetables marketed in the UK will be organic. This growth has been sustained at a rate of around 20% per year in developed countries. However, organic yields are between 10% and 20% lower than conventional agriculture, with crops like potatoes some 40% lower. Unsurprisingly, this makes organic produce on average around 40% more expensive than non-organic produce.
Organic vegetables offer several advantages over their non-organic counterparts:
• They are generally tastier, and because they are not treated in the same way, are usually fresher than non- organic products.
• They are good for a healthy lifestyle as they contain no pesticides and chemicals.
• The fact that no pesticides or herbicides are used in their production means that they are much ‘greener’. For example, they help to reduce the problems associated with nitrates in the soil and water supplies.
• On the downside, organic vegetables are generally less uniform, and as far as some consumers are concerned, are less attractive in appearance. This lack of uniformity has also been a problem in the past with supermarket buyers who have traditionally looked for uniformity in fresh products to aid merchandising and marketing in retail outlets.
• Generally, organic vegetables are more expensive than their non-organic counterparts Currently, on average they are somewhere in the region of 40% more expensive.
In the UK, anyone wishing to claim that their produce is organic, and market it in this way, needs to obtain the approval of the Soil Association, which checks the organic credentials of a supplier. For example, in this case, they check the conditions under which the produce is grown and how the seeds used.
Two interesting developments are taking place in the organic produce market. One is the growth of home supplies. This is where the producer supplies direct to the householder. There are a variety of ways of doing this. Some smaller growers use mail-shots and leafleting to build up a client base. They then deliver locally to customers who order from a list. Very often the supplier will simply make up a box of a pre-determined value or weight containing a selection of vegetables which are in season and ready for picking. Other suppliers are using a similar system, but take their orders via the Internet. This is particularly suitable for this type of product as customers can check on a regular basis what is available and order from home. The produce is then delivered at a pre-arranged time.
The second development in the organic produce market is the growth of farmers’ markets. These markets are usually run by local authorities, often on Saturdays or Sundays. Local and other producers attend these markets, paying a small fee for a stall and then sell their produce direct to the consumer. These farmers’ markets partly
came about as a result of the frustration felt by many farmers and growers at the way they were being treated by retailers and at the margins they were receiving. In addition, such markets have been successful because consumers feel they are getting fresh produce at lower prices than they might be able to obtain through supermarkets.
Despite the growth in the market for organic vegetables, after 18 months in his business, John is worried. Quite simply, his business has not been as successful as he envisaged it would be, and as a result he is not earning enough to make a living. The real worry is that he is not sure why this is the case. His produce, he believes, is as good as anything in the business. He is a very good grower and the land he has leased is perfect for the range of produce he wishes to grow. Starting with organic potatoes he now produces a range of organic vegetables including beans, sprouts, carrots, lettuce and his latest venture organic tomatoes and corn grown in poly-tunnels. Although customers he currently supplies are very loyal to John, indeed many are friends and acquaintances he has known over the years when he grew vegetables in his back garden, there are simply not enough of them. As a result, his turnover which increased rapidly over the first year of the business has for the last six months has stagnated. He mainly supplies locally and has tried to increase his customer base by taking leaflets out and posting them through letterboxes in the area. He has done this by dividing up the housing areas in a ten-mile radius around his growing area and dropping leaflets throughout the area to as many houses as he can cover on a systematic basis. Only some 2% of customers have responded with an order, usually contacting by telephone. These customers seem to come from the middle class areas. He has considered taking a stall at one of the farmers’ markets, the nearest of which is some 40 miles away and operates one day per month, but he realizes this would not be enough to reach the turnover levels he requires. He has in the past supplied one or two local restaurants and hotels, but usually only when they have contacted him because they have had a problem with their existing supplier. He has never followed these up. His growing area is currently too small to supply a major retailer, although he has been approached on an informal basis by the buyer of a voluntary chain of local grocers representing some 40 retail outlets in the county.
John is wondering where he goes from here. He cannot understand why his superior products are not selling well. A friend has suggested that John needs a more strategic approach to marketing. John is not convinced. He feels his business is too small to warrant any kind of marketing, never mind strategic marketing, and he has always felt that a good product should sell itself. He is, however, anxious to grow the business and become a leading organic vegetable supplier.

You were hired by John as a strategic analyst to develop a detailed strategic management process for this company. What shall you do? And how to direct the company in the future? Elaborate your answer.

Download the world.SQL and run it in MySQL. Now based on this database, write query that shows a) the most populated city in each country. b) the second most populated city in each country. c) the most populated city in each continent. d) the most populated country in each continent. e) the most populated continent. f) the number of people speaking each language. g) the most spoken language in each continent. h) number of languages that they are official language of at least one country. i) the most spoken official language based on each continent. (the language that has the highest number of people talking as their mother tongue) j) the country with the most (number of) unofficial languages based on each continent. (no matter how many people talking that language) k) the countries that their capital is not the most populated city in the country. l) the countries with population smaller than Russia but bigger than Denmark.

script is below---

DROP SCHEMA IF EXISTS world;
CREATE SCHEMA world;
USE world;
SET AUTOCOMMIT=0;

--
-- Table structure for table `city`
--

DROP TABLE IF EXISTS `city`;
CREATE TABLE `city` (
`ID` INT(11) NOT NULL AUTO_INCREMENT,
`Name` CHAR(35) NOT NULL DEFAULT '',
`CountryCode` CHAR(3) NOT NULL DEFAULT '',
`District` CHAR(20) NOT NULL DEFAULT '',
`Population` INT(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`ID`));
  

--
-- Dumping data for table `city`
--
-- ORDER BY: `ID`

INSERT INTO `city` VALUES (1,'Kabul','AFG','Kabol',1780000);
INSERT INTO `city` VALUES (2,'Qandahar','AFG','Qandahar',237500);
INSERT INTO `city` VALUES (3,'Herat','AFG','Herat',186800);
INSERT INTO `city` VALUES (4,'Mazar-e-Sharif','AFG','Balkh',127800);
INSERT INTO `city` VALUES (5,'Amsterdam','NLD','Noord-Holland',731200);
INSERT INTO `city` VALUES (6,'Rotterdam','NLD','Zuid-Holland',593321);
INSERT INTO `city` VALUES (7,'Haag','NLD','Zuid-Holland',440900);
INSERT INTO `city` VALUES (8,'Utrecht','NLD','Utrecht',234323);
INSERT INTO `city` VALUES (9,'Eindhoven','NLD','Noord-Brabant',201843);
INSERT INTO `city` VALUES (10,'Tilburg','NLD','Noord-Brabant',193238);
INSERT INTO `city` VALUES (11,'Groningen','NLD','Groningen',172701);
INSERT INTO `city` VALUES (12,'Breda','NLD','Noord-Brabant',160398);
INSERT INTO `city` VALUES (13,'Apeldoorn','NLD','Gelderland',153491);
INSERT INTO `city` VALUES (14,'Nijmegen','NLD','Gelderland',152463);
INSERT INTO `city` VALUES (15,'Enschede','NLD','Overijssel',149544);
INSERT INTO `city` VALUES (16,'Haarlem','NLD','Noord-Holland',148772);
INSERT INTO `city` VALUES (17,'Almere','NLD','Flevoland',142465);
INSERT INTO `city` VALUES (18,'Arnhem','NLD','Gelderland',138020);
INSERT INTO `city` VALUES (19,'Zaanstad','NLD','Noord-Holland',135621);
INSERT INTO `city` VALUES (20,'´s-Hertogenbosch','NLD','Noord-Brabant',129170);
INSERT INTO `city` VALUES (21,'Amersfoort','NLD','Utrecht',126270);
INSERT INTO `city` VALUES (22,'Maastricht','NLD','Limburg',122087);
INSERT INTO `city` VALUES (23,'Dordrecht','NLD','Zuid-Holland',119811);
INSERT INTO `city` VALUES (24,'Leiden','NLD','Zuid-Holland',117196);
INSERT INTO `city` VALUES (25,'Haarlemmermeer','NLD','Noord-Holland',110722);
INSERT INTO `city` VALUES (26,'Zoetermeer','NLD','Zuid-Holland',110214);
INSERT INTO `city` VALUES (27,'Emmen','NLD','Drenthe',105853);
INSERT INTO `city` VALUES (28,'Zwolle','NLD','Overijssel',105819);
INSERT INTO `city` VALUES (29,'Ede','NLD','Gelderland',101574);
INSERT INTO `city` VALUES (30,'Delft','NLD','Zuid-Holland',95268);
INSERT INTO `city` VALUES (31,'Heerlen','NLD','Limburg',95052);
INSERT INTO `city` VALUES (32,'Alkmaar','NLD','Noord-Holland',92713);
INSERT INTO `city` VALUES (33,'Willemstad','ANT','Curaçao',2345);
INSERT INTO `city` VALUES (34,'Tirana','ALB','Tirana',270000);
INSERT INTO `city` VALUES (35,'Alger','DZA','Alger',2168000);
INSERT INTO `city` VALUES (36,'Oran','DZA','Oran',609823);
INSERT INTO `city` VALUES (37,'Constantine','DZA','Constantine',443727);
INSERT INTO `city` VALUES (38,'Annaba','DZA','Annaba',222518);
INSERT INTO `city` VALUES (39,'Batna','DZA','Batna',183377);
INSERT INTO `city` VALUES (40,'Sétif','DZA','Sétif',179055);
INSERT INTO `city` VALUES (41,'Sidi Bel Abbès','DZA','Sidi Bel Abbès',153106);
INSERT INTO `city` VALUES (42,'Skikda','DZA','Skikda',128747);
INSERT INTO `city` VALUES (43,'Biskra','DZA','Biskra',128281);
INSERT INTO `city` VALUES (44,'Blida (el-Boulaida)','DZA','Blida',127284);
INSERT INTO `city` VALUES (45,'Béjaïa','DZA','Béjaïa',117162);
INSERT INTO `city` VALUES (46,'Mostaganem','DZA','Mostaganem',115212);
INSERT INTO `city` VALUES (47,'Tébessa','DZA','Tébessa',112007);
INSERT INTO `city` VALUES (48,'Tlemcen (Tilimsen)','DZA','Tlemcen',110242);
INSERT INTO `city` VALUES (49,'Béchar','DZA','Béchar',107311);
INSERT INTO `city` VALUES (50,'Tiaret','DZA','Tiaret',100118);
INSERT INTO `city` VALUES (51,'Ech-Chleff (el-Asnam)','DZA','Chlef',96794);
INSERT INTO `city` VALUES (52,'Ghardaïa','DZA','Ghardaïa',89415);
INSERT INTO `city` VALUES (53,'Tafuna','ASM','Tutuila',5200);
INSERT INTO `city` VALUES (54,'Fagatogo','ASM','Tutuila',2323);
INSERT INTO `city` VALUES (55,'Andorra la Vella','AND','Andorra la Vella',21189);
INSERT INTO `city` VALUES (56,'Luanda','AGO','Luanda',2022000);
INSERT INTO `city` VALUES (57,'Huambo','AGO','Huambo',163100);
INSERT INTO `city` VALUES (58,'Lobito','AGO','Benguela',130000);
INSERT INTO `city` VALUES (59,'Benguela','AGO','Benguela',128300);
INSERT INTO `city` VALUES (60,'Namibe','AGO','Namibe',118200);
INSERT INTO `city` VALUES (61,'South Hill','AIA','',961);
INSERT INTO `city` VALUES (62,'The Valley','AIA','',595);
INSERT INTO `city` VALUES (63,'Saint John´s','ATG','St John',24000);
INSERT INTO `city` VALUES (64,'Dubai','ARE','Dubai',669181);
INSERT INTO `city` VALUES (65,'Abu Dhabi','ARE','Abu Dhabi',398695);
INSERT INTO `city` VALUES (66,'Sharja','ARE','Sharja',320095);
INSERT INTO `city` VALUES (67,'al-Ayn','ARE','Abu Dhabi',225970);
INSERT INTO `city` VALUES (68,'Ajman','ARE','Ajman',114395);
INSERT INTO `city` VALUES (69,'Buenos Aires','ARG','Distrito Federal',2982146);
INSERT INTO `city` VALUES (70,'La Matanza','ARG','Buenos Aires',1266461);
INSERT INTO `city` VALUES (71,'Córdoba','ARG','Córdoba',1157507);
INSERT INTO `city` VALUES (72,'Rosario','ARG','Santa Fé',907718);
INSERT INTO `city` VALUES (73,'Lomas de Zamora','ARG','Buenos Aires',622013);
INSERT INTO `city` VALUES (74,'Quilmes','ARG','Buenos Aires',559249);
INSERT INTO `city` VALUES (75,'Almirante Brown','ARG','Buenos Aires',538918);
INSERT INTO `city` VALUES (76,'La Plata','ARG','Buenos Aires',521936);
INSERT INTO `city` VALUES (77,'Mar del Plata','ARG','Buenos Aires',512880);
INSERT INTO `city` VALUES (78,'San Miguel de Tucumán','ARG','Tucumán',470809);
INSERT INTO `city` VALUES (79,'Lanús','ARG','Buenos Aires',469735);
INSERT INTO `city` VALUES (80,'Merlo','ARG','Buenos Aires',463846);
INSERT INTO `city` VALUES (81,'General San Martín','ARG','Buenos Aires',422542);
INSERT INTO `city` VALUES (82,'Salta','ARG','Salta',367550);
INSERT INTO `city` VALUES (83,'Moreno','ARG','Buenos Aires',356993);
INSERT INTO `city` VALUES (84,'Santa Fé','ARG','Santa Fé',353063);
INSERT INTO `city` VALUES (85,'Avellaneda','ARG','Buenos Aires',353046);
INSERT INTO `city` VALUES (86,'Tres de Febrero','ARG','Buenos Aires',352311);
INSERT INTO `city` VALUES (87,'Morón','ARG','Buenos Aires',349246);
INSERT INTO `city` VALUES (88,'Florencio Varela','ARG','Buenos Aires',315432);
INSERT INTO `city` VALUES (89,'San Isidro','ARG','Buenos Aires',306341);
INSERT INTO `city` VALUES (90,'Tigre','ARG','Buenos Aires',296226);
INSERT INTO `city` VALUES (91,'Malvinas Argentinas','ARG','Buenos Aires',290335);
INSERT INTO `city` VALUES (92,'Vicente López','ARG','Buenos Aires',288341);
INSERT INTO `city` VALUES (93,'Berazategui','ARG','Buenos Aires',276916);
INSERT INTO `city` VALUES (94,'Corrientes','ARG','Corrientes',258103);
INSERT INTO `city` VALUES (95,'San Miguel','ARG','Buenos Aires',248700);
INSERT INTO `city` VALUES (96,'Bahía Blanca','ARG','Buenos Aires',239810);
INSERT INTO `city` VALUES (97,'Esteban Echeverría','ARG','Buenos Aires',235760);
INSERT INTO `city` VALUES (98,'Resistencia','ARG','Chaco',229212);
INSERT INTO `city` VALUES (99,'José C. Paz','ARG','Buenos Aires',221754);
INSERT INTO `city` VALUES (100,'Paraná','ARG','Entre Rios',207041);
INSERT INTO `city` VALUES (101,'Godoy Cruz','ARG','Mendoza',206998);
INSERT INTO `city` VALUES (102,'Posadas','ARG','Misiones',201273);
INSERT INTO `city` VALUES (103,'Guaymallén','ARG','Mendoza',200595);
INSERT INTO `city` VALUES (104,'Santiago del Estero','ARG','Santiago del Estero',189947);
INSERT INTO `city` VALUES (105,'San Salvador de Jujuy','ARG','Jujuy',178748);
INSERT INTO `city` VALUES (106,'Hurlingham','ARG','Buenos Aires',170028);
INSERT INTO `city` VALUES (107,'Neuquén','ARG','Neuquén',167296);
INSERT INTO `city` VALUES (108,'Ituzaingó','ARG','Buenos Aires',158197);
INSERT INTO `city` VALUES (109,'San Fernando','ARG','Buenos Aires',153036);
INSERT INTO `city` VALUES (110,'Formosa','ARG','Formosa',147636);
INSERT INTO `city` VALUES (111,'Las Heras','ARG','Mendoza',145823);
INSERT INTO `city` VALUES (112,'La Rioja','ARG','La Rioja',138117);
INSERT INTO `city` VALUES (113,'San Fernando del Valle de Cata','ARG','Catamarca',134935);
INSERT INTO `city` VALUES (114,'Río Cuarto','ARG','Córdoba',134355);
INSERT INTO `city` VALUES (115,'Comodoro Rivadavia','ARG','Chubut',124104);
INSERT INTO `city` VALUES (116,'Mendoza','ARG','Mendoza',123027);
INSERT INTO `city` VALUES (117,'San Nicolás de los Arroyos','ARG','Buenos Aires',119302);
INSERT INTO `city` VALUES (118,'San Juan','ARG','San Juan',119152);
INSERT INTO `city` VALUES (119,'Escobar','ARG','Buenos Aires',116675);
INSERT INTO `city` VALUES (120,'Concordia','ARG','Entre Rios',116485);
INSERT INTO `city` VALUES (121,'Pilar','ARG','Buenos Aires',113428);
INSERT INTO `city` VALUES (122,'San Luis','ARG','San Luis',110136);
INSERT INTO `city` VALUES (123,'Ezeiza','ARG','Buenos Aires',99578);
INSERT INTO `city` VALUES (124,'San Rafael','ARG','Mendoza',94651);
INSERT INTO `city` VALUES (125,'Tandil','ARG','Buenos Aires',91101);
INSERT INTO `city` VALUES (126,'Yerevan','ARM','Yerevan',1248700);
INSERT INTO `city` VALUES (127,'Gjumri','ARM','irak',211700);
INSERT INTO `city` VALUES (128,'Vanadzor','ARM','Lori',172700);
INSERT INTO `city` VALUES (129,'Oranjestad','ABW','',29034);
INSERT INTO `city` VALUES (130,'Sydney','AUS','New South Wales',3276207);
INSERT INTO `city` VALUES (131,'Melbourne','AUS','Victoria',2865329);
INSERT INTO `city` VALUES (132,'Brisbane','AUS','Queensland',1291117);
INSERT INTO `city` VALUES (133,'Perth','AUS','West Australia',1096829);
INSERT INTO `city` VALUES (134,'Adelaide','AUS','South Australia',978100);
INSERT INTO `city` VALUES (135,'Canberra','AUS','Capital Region',322723);
INSERT INTO `city` VALUES (136,'Gold Coast','AUS','Queensland',311932);
INSERT INTO `city` VALUES (137,'Newcastle','AUS','New South Wales',270324);
INSERT INTO `city` VALUES (138,'Central Coast','AUS','New South Wales',227657);
INSERT INTO `city` VALUES (139,'Wollongong','AUS','New South Wales',219761);
INSERT INTO `city` VALUES (140,'Hobart','AUS','Tasmania',126118);
INSERT INTO `city` VALUES (141,'Geelong','AUS','Victoria',125382);
INSERT INTO `city` VALUES (142,'Townsville','AUS','Queensland',109914);
INSERT INTO `city` VALUES (143,'Cairns','AUS','Queensland',92273);
INSERT INTO `city` VALUES (144,'Baku','AZE','Baki',1787800);
INSERT INTO `city` VALUES (145,'Gäncä','AZE','Gäncä',299300);
INSERT INTO `city` VALUES (146,'Sumqayit','AZE','Sumqayit',283000);
INSERT INTO `city` VALUES (147,'Mingäçevir','AZE','Mingäçevir',93900);
INSERT INTO `city` VALUES (148,'Nassau','BHS','New Providence',172000);
INSERT INTO `city` VALUES (149,'al-Manama','BHR','al-Manama',148000);
INSERT INTO `city` VALUES (150,'Dhaka','BGD','Dhaka',3612850);
INSERT INTO `city` VALUES (151,'Chittagong','BGD','Chittagong',1392860);
INSERT INTO `city` VALUES (152,'Khulna','BGD','Khulna',663340);
INSERT INTO `city` VALUES (153,'Rajshahi','BGD','Rajshahi',294056);
INSERT INTO `city` VALUES (154,'Narayanganj','BGD','Dhaka',202134);
INSERT INTO `city` VALUES (155,'Rangpur','BGD','Rajshahi',191398);
INSERT INTO `city` VALUES (156,'Mymensingh','BGD','Dhaka',188713);
INSERT INTO `city` VALUES (157,'Barisal','BGD','Barisal',170232);

Explain briefly what excimer lasers are and the reason why they are used in photorefractive keratectomy, in which the front of the cornea is sculpted to correct nearsightedness.

-Why is the argon ion laser not a good choice for this operation?

-Why is the reverse true for laser surgical procedures performed on the retina?

Weston v. Cornell University New York Supreme Court, Appellate Division, Third Department, 136 A.D.3d 1094, 24 N.Y.S.3d 448 (2016). Weston v. Cornell University In the Language of the Court ROSE, J. [Judge] * * * * Defendant [Cornell University in Ithaca, New York] appointed plaintiff [Leslie Weston] to an associate professorship in 1998 for an initial term of five years. The 1998 offer letter described the position as being “with tenure,” but it stated that, although no problems were anticipated, the offer of tenure would have to be confirmed by defendant’s review process shortly after plaintiff’s arrival on campus. For a variety of reasons, plaintiff delayed her tenure submission for five years and, when she finally submitted it, she was not awarded tenure. In 2003, defendant gave plaintiff a two-year extension of her appointment, this time as an “associate professor without tenure,” to allow her an opportunity to improve and resubmit her tenure package. Plaintiff resubmitted her request for tenure in 2005, but it was again denied, resulting in her eventual termination. Plaintiff then commenced this action [in a New York state court] seeking * * * to recover for breach of contract. * * * Following the completion of discovery, defendant moved for summary judgment dismissing the complaint * * *. The Supreme Court [a New York state trial court] denied that portion of the motion seeking dismissal of the breach of contract claim. Defendant now appeals. Contrary to defendant’s argument, Supreme Court properly found that issues of fact exist as to whether defendant’s 1998 offer letter reflects an intent to assure plaintiff that she would be granted tenure. * * * The terms of the letter are ambiguous. Accordingly, Supreme Court properly relied upon extrinsic evidence to determine the parties’ intent.Footnote Based upon the affidavit of the then-chair of defendant’s department who hired plaintiff and wrote the 1998 offer letter, as well as correspondence from the dean and associate dean of the college in which plaintiff’s department was located, Supreme Court appropriately declined to award summary judgment to defendant with respect to the 1998 offer of tenure. However, we must agree with defendant’s alternative argument that the terms of its original offer were materially modified by plaintiff’s acceptance of its 2003 offer to extend her appointment. Defendant’s 2003 letter offering to extend her appointment unambiguously replaced the “with tenure” language contained in the 1998 offer letter by restating her job title as “associate professor without tenure.” Defendant also points to plaintiff’s deposition testimony, in which she explicitly acknowledged that she understood the 2003 letter to be a modification of the original terms of her employment agreement and agreed—albeit reluctantly—to the new terms. Significantly, plaintiff further admitted that defendant was “not guaranteeing her tenure in any case after this letter.” [Emphasis added.] In response to this prima facie showing by defendant, plaintiff contends that, regardless of what she agreed to in 2003, her oft-repeated assertions of her belief that defendant still owed her tenure based upon the original letter suffice to preclude summary judgment. Aside from plaintiff’s own opinions on the matter, however, there is nothing in the record to indicate that any alleged guarantee of tenure remained beyond the date of the 2003 letter. Accordingly, we find that plaintiff’s subjective beliefs and unsupported arguments regarding the 2003 modification of her employment agreement are insufficient to raise triable issues of fact to defeat defendant’s motion for summary judgment dismissing the breach of contract cause of action. ORDERED that the order is modified * * * by reversing so much thereof as partially denied defendant’s motion for summary judgment; said motion granted in its entirety and breach of contract cause of action dismissed.

Legal Reasoning Questions

What did the plaintiff seek in this action? What was the legal ground for her claim?

What was her principal contention regarding the offers and acceptances at the center of this case?

Why did the trial court deny the defendant’s motion for summary judgment to dismiss the plaintiff’s claim?

Why did the appellate court modify the trial court’s denial of the defendant’s motion?

what is globalization theory. please provide reference.

1. Explain the idea of a turnkey project. Why should a firm use this arrangement to expand internationally? In what industries are turnkey arrangements most common?

2. Why should a firm be cautious about entering a licensing agreement?

3. Compare and contrast licensing agreements and franchising agreements.

4 What is a joint venture? What type of joint venture is most common? Provide an example of a joint venture.

500.0 mL of 0.110 M NaOH is added to 615 mL of 0.200 M weak acid (Ka = 7.63

1. (25pts) A person’s demand for gizmos is given by the following equation:q = 24 - 2p + 0.0008I

where, q is the quantity demanded at price p when the person’s income is I. Assume initially that theperson’s income is $160,000.

a.At what price will demand fall to zero? (This is sometimes called the choke price because it is the price that chokes off demand.)

b.If the market price for gizmos is $40, how many will be demanded?

c.At a price of $40, what is the price elasticity of demand for gizmos?

d.At a price of $40, what is the consumer surplus?

e.If price rises to $48, how much consumer surplus is lost?

f.If the price drops to $30, how much consumer surplus is gained?

g.If income were $200,000, what would be the consumer surplus loss from a price rise from $40

to $48? Why is it different than the change in CS surplus obtained in 1.e.?

Given a normal distribution with μ = 48 and σ = 5​,

a. What is the probability that X > 42​? ​(Round to four decimal places as​ needed.)

b. What is the probability that X < 43​? ​(Round to four decimal places as​ needed.)

c. For this​ distribution, 9​% of the values are less than what​ X-value? ​(Round to the nearest integer as​ needed.)

d. Between what two​ X-values (symmetrically distributed around the​ mean) are 60​% of the​ values?

​(Round to the nearest integer as​ needed.)

Describe how five career areas can benefit from computer systems..

Seemore Lens Company (SLC) sells contact lenses FOB destination. For the year ended December 31, the company reported Inventory of $71,000 and Cost of Goods Sold of $422,000. a.Included in Inventory (and Accounts Payable) are $10,200 of lenses SLC is holding on consignment. b.Included in SLC’s Inventory balance are $5,100 of office supplies held in SLC’s warehouse. c.Excluded from SLC’s Inventory balance are $8,100 of lenses in the warehouse, ready to send to customers on January 2. SLC reported these lenses as sold on December 31, at a price of $15,200. d.Included in SLC’s Inventory balance are $3,050 of lenses that were damaged in December and will be scrapped in January, with zero realizable value. Required: For each item, (a)-(d), prepare the journal entry to correct the balances presently reported

The HR manager of a large department store believes the number of resignations per week of casual staff at the store can be approximated by a normal distribution with a mean of 42 resignations per week and variance 51.1 (resignations per week)2 . From a large amount of historical data available on the HR database regarding weekly resignations of casuals, a sample of 52 weeks was selected. What must the value of the sample mean be so that only 15% of all possible sample means (of size 52) are less than this value? Give your answer correct to 2 decimal places.

Problem 9-19 (Algorithmic)

The product development group at Landon Corporation has been working on a new computer software product that has the potential to capture a large market share. Through outside sources, Landon's management learned that a competitor is working to introduce a similar product. As a result, Landon's top management increased its pressure on the product development group. The group's leader turned to PERT/CPM as an aid to scheduling the activities remaining before the new product can be brought to the market. The project network is as follows:

The activity time estimates (in weeks) are as follows:

1. Develop an activity schedule for this project and identify the critical path activities.
   If required, round your answers to two decimal places. If your answer is zero enter “0”.
   

   Activity		Expected Time		Variance
   A
   B
   C
   D
   E
   F
   G
   H
   I
   J

   Earliest

   Latest

   Earliest

   Latest

   Critical

   Activity

   Start

   Start

   Finish

   Finish

   Slack

   Activity

   A

   No

   B

   Yes

   C

   No

   D

   No

   E

   Yes

   F

   No

   G

   No

   H

   Yes

   I

   No

   J

   Yes

   
   Critical Path: B-E-H-J
   
2. What is the probability that the project will be completed so that Landon Corporation may introduce the new product within 25 weeks? Within 30 weeks?
   
   Expected project completion time =  weeks. If required, round your answer to two decimal places.
   
   . If required, round your answer to two decimal places.
   
   P(25 weeks) = . If required, round your answer to four decimal places.
   
   P(30 weeks) = . If required, round your answer to four decimal places.

In​ baseball, League A allows a designated hitter​ (DH) to bat for the​ pitcher, who is typically a weak hitter. In League​ B, the pitcher must bat. The common belief is that this results in League A teams scoring more runs. In interleague​ play, when League A teams visit League B​ teams, the League A pitcher must bat.​ So, if the DH does result in more​ runs, it would be expected that league A teams will score more runs in League A park than when visiting League B parks. To test this​ claim, a random sample of runs scored by league A teams with and without their DH is given in the accompanying table. Complete parts​ a) through​ d) below.

a) Draw​ side-by-side boxplots of the number of runs scored by League A teams with and without their DH. Choose the correct graph below.

A.

051015AB

Two boxplots, one above the other, share a horizontal axis labeled from 0 to 15 in increments of 1. The bottom boxplot is labeled A and has vertical line segments drawn at 4, 6, and 7. A box encloses the vertical line segments, and horizontal line segments extend from both sides of the box to 0 and 13. An x is plotted at 14. The top boxplot is labeled B and has vertical line segments at 3, 4.5, and 7. A box encloses the vertical line segments, and horizontal line segments extend from both sides of the box to 0 and 11.

B.

051015AB

Two boxplots, one above the other, share a horizontal axis labeled from 0 to 15 in increments of 1. The bottom boxplot is labeled A and has vertical line segments drawn at 4, 6, and 7. A box encloses the vertical line segments, and horizontal line segments extend from both sides of the box to 0 and 9. Three x's are plotted at 12, 13, and 14. The top boxplot is labeled B and has vertical line segments at 2, 3.5, and 6. A box encloses the vertical line segments, and horizontal line segments extend from both sides of the box to 0 and 10.

C.

051015AB

Two boxplots, one above the other, share a horizontal axis labeled from 0 to 15 in increments of 1. The bottom boxplot is labeled A and has vertical line segments drawn at 3, 5, and 6. A box encloses the vertical line segments, and horizontal line segments extend from both sides of the box to 0 and 12. Two x's are plotted at 13 and 14. The top boxplot is labeled B and has vertical line segments at 2, 3.5, and 6. A box encloses the vertical line segments, and horizontal line segments extend from both sides of the box to 0 and 12.

D.

051015AB

Two boxplots, one above the other, share a horizontal axis labeled from 0 to 15 in increments of 1. The bottom boxplot is labeled A and has vertical line segments drawn at 4, 6, and 7. A box encloses the vertical line segments, and horizontal line segments extend from both sides of the box to 1 and 14. The top boxplot is labeled B and has vertical line segments at 2, 3.5, and 6. A box encloses the vertical line segments, and horizontal line segments extend from both sides of the box to 0 and 12.

Does there appear to be a difference in the number of runs between these​ situations?

A. No but the number of runs scored in a League A park appear to be slightly higher than the number of runs scored in a League B park.

B. Yes because the number of runs scored in a League B park appear to have a higher median than the number of runs scored in a League A park.

C.Yes because the number of runs scored in a League A park appear to have a higher median than the number of runs scored in a League B park.

D.No because the number of runs scored in a League A park is about the same as the number of runs scored in a League B park.

​b) Explain why a hypothesis test may be used to test whether the mean number of runs scored for the two types of ballparks differ.

Select all that apply.

A.Each sample has the same sample size.

B.Each sample is obtained independently of the other.

C.Each sample size is small relative to the size of its population.

D.Each sample is a simple random sample.

E.Each sample size is large.

​c) Test whether the mean number of runs scored in a League A park is greater than the mean number of runs scored in a League B park at the

alphaα=0.05 level of significance.

Determine the null and alternative hypotheses for this test. Let mu Subscript Upper AμA

represent the mean number of runs scored by a League A team in a League A park and let

mu Subscript Upper BμB represent the mean number of runs scored by a League A team in a League B park.

Upper H 0H0​:

▼

sigma Subscript Upper AσA

pp mu Subscript Upper AμA

▼

greater than>

equals=

less than<

not equals≠

▼

sigma Subscript Upper BσB

mu Subscript Upper BμB

p 0p0

versus

Upper H 1H1​:

▼

mu Subscript Upper AμA

pp

sigma Subscript Upper AσA

▼

greater than>

equals=

less than<

not equals≠

▼

p0 mu Subscript Upper BμB sigma Subscript Upper BσB Find t0​,the test statistic for this hypothesis test. t0=nothing

​(Round to two decimal places as​ needed.)

Determine the​ P-value for this test.

​P-value=

​(Round to three decimal places as​ needed.)

State the appropriate conclusion. Choose the correct answer below.

A.Do not reject Upper H0. There is not sufficient evidenceThere is not sufficient evidence at the level of significance to conclude that games played with a designated hitter result in more runs.

B.Reject Upper H 0H0.There is not sufficient evidence at the level of significance to conclude that games played with a designated hitter result in more runs.

C.Do not reject Upper H0.There is sufficient evidenceat the level of significance to conclude that games played with a designated hitter result in more runs.

D.Reject Upper H0. There is sufficient evidenceThere is sufficient evidence at the level of significance to conclude that games played with a designated hitter result in more runs.

​d) Construct a 95​% confidence interval for the mean difference in the number of runs scored by League A teams in a League A park and the number of runs scored by League A teams in a League B park. Interpret the interval.

Lower​ bound:

Upper​ bound:

​(Round to three decimal places as​ needed.)

Interpret the confidence interval. Select the correct choice below and fill in the answer boxes to complete your choice.

​(Round to three decimal places as needed. Use ascending​ order)

A. We are 95​%confident the difference between the mean number of runs scored in a League A park and the mean number of runs scored in a League B park is between nothing and nothing.The confidence interval does not containdoes not contain ​zero, so there is sufficient evidence to conclude there is a difference in the mean number of runs scored with or without the DH.

B. We are 95​% confident the difference between the mean number of runs scored in a League A park and the mean number of runs scored in a League B park is between nothing and nothing.The confidence interval contains ​zero, so there is notis not sufficient evidence to conclude there is a difference in the mean number of runs scored with or without the DH.

Discuss the percentage of sales and competitive parity methods for setting advertising budgets. What are the shortcomings of both these methods?