The Lottery Essay Summary Example For Students

The Lottery Essay Summary The lottery The popular opinion in society is always the opinion of the majority of society.Due to this simple fact, minorities often are ignored when they attempt to voice their opinions and are sometimes scrutinized for it.In the novel To Kill a Mockingbird many such examples exist, as well as in The Grapes of Wrath and the short story The Lottery.All three of these works, in different methods show to some extent that the voices of minorities are often just whispers among a roaring society. Marginal members of society are particularly mocked and maimed.Tom Robinson for example, from To Kill a Mockingbird, a black man accused of raping a white woman is convicted even though circumstantial evidence is all but presented.His lawyer, Atticus Finch describes the case in this quote, In our courts when its a white mans word against a black mans, the white man always wins.Theyre ugly, but those are the facts of life.There is a sense of support for the African-Americans present in the novel too.Mr. Dolphus Raymond states his opinions of discrimination to Dill perfectly, You arent thin-hided, it just makes you sick, doesnt it?Atticus also tells his children some very good advice for the future, As you grow older youll see white men cheat black men every day of your life, but let me tell you something and dont you forget it-whenever a white man does that to a black man, no matter who he is, how rich he is, or how fine a family he comes from, that white man is trash.Women, as well a s children, although they are not a minority, they are treated the same way.In Shirley Jacksons The Lottery they schedule a public stoning every year for June 27, and decide who to stone through a process of drawing slips of paper for families and then for individuals of that family.Women and children are no exception to the rule.They draw too.When Tessie Hutchinson begins to object to the manner of the drawing, she is cut off in this quote, Suddenly, Tessie Hutchinson shouted to Mr. Summers, You didnt give him time enough to take any paper he wanted.I saw you. It wasnt fair!Be a good sport, Tessie, Mrs. Delacroix called, and Mrs. Graves said, All of us took the same chance.Shut up, Tessie, Bill Hutchinson said.Tessie Hutchinson is told to shut up by her own husband! Mrs. Hutchinson detests the lottery and does so until her death, as shown in this quote, It isnt fair, it isnt right, Mrs. Hutchinson screamed, and then they were upon her.This is a direct disregard to hear her opinions and her ideas.Children are also shown this discrimination in Lees To Kill a Mockingbird.After saying Hey to her aging neighbor, Scout is chastised by Mrs. Dubose rather sharply.Mrs. Dubose replies to Scout, Dont you say hey to me, you ugly girl!You say good afternoon, Mrs. Dubose!This only reinforces the fact that young people are discriminated against as much as minorities. We will write a custom essay on The Lottery Summary specifically for you for only $16.38 $13.9/page Order now In Steinbecks The Grapes of Wrath, this same disrespect is shown to the Okies, as they are called.The Joads upon arrival at their destination in southern California, they find that their paradise is due south of heaven.Locals call them dirty and stupid, and reject them.Even local bums reject them as in this quote, No, looka here.Ill come for ya tonight.Maybe Im wrong.Theres stools aroun all a time.Im takin a chancet, an I got a kid, too.But Ill come for ya.An if ya see a cop, why, youre a goddamn Okie, see?The Joads are left out and scrutinized, not for being a minority, but because they are foreigners in their own country. .u1f82b19bc44f64d759bc629b6ad74dec , .u1f82b19bc44f64d759bc629b6ad74dec .postImageUrl , .u1f82b19bc44f64d759bc629b6ad74dec .centered-text-area { min-height: 80px; position: relative; } .u1f82b19bc44f64d759bc629b6ad74dec , .u1f82b19bc44f64d759bc629b6ad74dec:hover , .u1f82b19bc44f64d759bc629b6ad74dec:visited , .u1f82b19bc44f64d759bc629b6ad74dec:active { border:0!important; } .u1f82b19bc44f64d759bc629b6ad74dec .clearfix:after { content: ""; display: table; clear: both; } .u1f82b19bc44f64d759bc629b6ad74dec { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .u1f82b19bc44f64d759bc629b6ad74dec:active , .u1f82b19bc44f64d759bc629b6ad74dec:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .u1f82b19bc44f64d759bc629b6ad74dec .centered-text-area { width: 100%; position: relative ; } .u1f82b19bc44f64d759bc629b6ad74dec .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .u1f82b19bc44f64d759bc629b6ad74dec .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .u1f82b19bc44f64d759bc629b6ad74dec .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .u1f82b19bc44f64d759bc629b6ad74dec:hover .ctaButton { background-color: #34495E!important; } .u1f82b19bc44f64d759bc629b6ad74dec .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .u1f82b19bc44f64d759bc629b6ad74dec .u1f82b19bc44f64d759bc629b6ad74dec-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .u1f82b19bc44f64d759bc629b6ad74dec:after { content: ""; display: block; clear: both; } READ: Fossil Fuel Consumption, CO2 and its impact on Glo EssayThe three works, all in different genres of literature, all show a similar message within them.Minorities are rarely accepted and heard out.Even for the slightest reason, these people are rejected, and scrutinized.Yet they manage to survive, because they are the people and they go on.

Quantitative Techniques Essays

Quantitative Techniques Essays Quantitative Techniques Essay Quantitative Techniques Essay Explain the use of Quantitative Techniques in Business and Management? Marks: 10 b). What are limitations of Statistics? Marks: 10 Page 2 of 29 Page 3 of 29 a). QUATITATIVE TECHNIQUES Quantitative techniques refers to the group of statistical and operations research techniques. All these techniques require preliminary knowledge of certain topics in mathematics. Quantitative Techniques Statistical Techniques Techniques Operations Research USE OF QUANTITATIVE TECHNIQUES IN BUSINESS AND MANAGMENT Due to increasing complexity in business and industry, decision making based on intuition has become highly questionable especially when the decision involves the choice among several courses of action each of which can achieve several management actions. So there is need for training the people who can manage a system efficiently and creatively. Quantitative Techniques now have a major role in effective decision making in various functional areas of management i. e. marketing, finance, production and personnel. These techniques are also widely used in planning, transportation, public health, communication, military, agriculture etc. Quantitative techniques are also used extensively as an aid in business decision making. Some of the areas where quantitative techniques can be used are: Page 3 of 29 Page 4 of 29 MANAGEMENT i). Marketing Analysis of marketing research information Statistical records for building and maintaining an extensive market Sales forecasting iii). iv). ECONOMICS Measurement of gross national product and input-output analysis Determination of business cycle, long term growth and seasonal fluctuations Comparison of market prices, cost and profits of individual firms Analysis of population, land economies and economic geography Page 4 of 29 ii). Production Production planning, control and analysis Evaluation of machine performance Quality control requirement (to analyze the data/trends) Inventory control measures Finance, Accounting and Investment Financial forecast, budget preparation Financial investment decisions Selection of securities Auditing function Credit policies, credit risk and delinquent accounts Personnel Labour turn over rate Employment trends Performance appraisal Wage rates and incentive plans Page 5 of 29 Operational studies of public utilities Formulation of appropriate economic policies and evaluation of their effect RESEARCH DEVELOPMENT Development of new product lines Optimal use of resources Evaluation of existing products NATURAL SCIENCE Diagnosis of disease based on data like temperature, pulse rate, blood pressure etc. Judging the efficiency of a particular drug for curing a certain disease Study of plant life In the competitive and dynamic business world, firms/companies who likes to succee d and survive are those which are capable of maximizing the use of tools of management like quantitative techniques. ) LIMITATIONS OF STATISTICS Statistics with all its wide application in every sphere of human activity has its own limitations. Some of them are given below. 1. STATISTICS IS NOT SUITABLE TO THE STUDY OF QUALITATIVE PHENOMENON: Since statistics is basically a science and deals with a set of numerical data, it is applicable to the study of only these subjects of enquiry, which can be expressed in terms of quantitative measurements. As a matter of fact, qualitative phenomenon like honesty, poverty, beauty, intelligence etc, cannot be expressed numerically and any Page 5 of 29 Page 6 of 29 statistical analysis cannot be directly applied on these qualitative phenomenons. Nevertheless, statistical techniques may be applied indirectly by first reducing the qualitative expressions to accurate quantitative terms. For example, the intelligence of a group of students can be studied on the basis of their marks in a particular examination. 2. STATISTICS DOES NOT STUDY INDIVIDUALS: Statistics does not give any specific importance to the individual items; in fact it deals with an aggregate of objects. Individual items, when they are taken individually do not constitute any statistical data and do not serve any purpose for any statistical enquiry. 3. STATISTICAL LAWS ARE NOT EXACT: It is well known that mathematical and physical sciences are exact. But statistical laws are not exact and statistical laws are only approximations. Statistical conclusions are not universally true. They are true only on an average. 4. STATISTICS TABLE MAY BE MISUSED: Statistics must be used only by experts; otherwise, statistical methods are the most dangerous tools on the hands of the inexpert. The use of statistical tools by the inexperienced and untraced persons might lead to wrong conclusions. Statistics can be easily misused by quoting wrong figures of data. 5. STATISTICS IS ONLY, ONE OF THE METHODS OF STUDYING A PROBLEM: Statistical method do not provide complete solution of the problems because problems are to be studied taking the background of the countries culture, philosophy or religion into consideration. Thus the statistical study should be supplemented by other evidences. References: www. textbooksonline. tn. nic. in/ Page 6 of 29 Page 7 of 29 Question 2 ). Different types of functions are introduced and used in CACULUS, briefly explain them? Marks: 10 b). Graph and find domain of f(x) = 22 if x lt; 0 if x gt; 0 Marks: 10 3x + 1 Page 7 of 29 Page 8 of 29 a). TYPES OF FUNCTION Different types of functions that are introduced and used in calculus are: i). ii). iii). iv). v). vi). i). Linear Function Polynomial Function Absolute Value Function Inverse Function Ste p Function Algebraic Function LINEAR FUNCTION A linear function is one in which the power of independent variable is 1, it is also called single variable function. The general expression of linear function having only one independent variable is: y = f(x) = a + bx where a and b are given real numbers and x is an independent variable taking all numerical values in an interval. Single variable function can be linear and non-linear, for example y = and y = 2 + 3x – 52 + x2 (non-linear single variable function) 3 + 2x (Linear single variable function) Page 8 of 29 Page 9 of 29 A linear function with one variable can always be graphed in a two dimensional plane. This graph can always be plotted by giving different values to x and calculating corresponding values of y. The graph of such functions is always a straight line. ii). POLYNOMIAL FUNCTION Polynomial functions are functions with x as an input variable, made up of several terms, each term is made up of two factors, the first being a real number coefficient, and the second being x raised to some non-negative integer power. Polynomial functions are functions that have this form: y = f(x) = anxn + an-1xn-1 + + a1x1 + a0 The value of n must be a nonnegative integer. That is, it must be whole number; it is equal to zero or a positive integer. an, an-1, , a1, a0 are called coefficients. These are real numbers. The degree of the polynomial function is the highest value for n where an is not equal to 0. If n = 1, then the polynomial function is of degree 1 and is called a linear function and if n = 2 then the polynomial function is of degree 2 and is called quadratic function and usually written as: y = iii). ax2 + bx + c ABSOLUTE VALUE FUNCTION The absolute value function is the real-valued function defined as follows. =  ¦x  ¦ Where  ¦x  ¦ is known as magnitude or absolute value of x. By absolute value means that whether x is positive or negative, its Page 9 of 29 Page 10 of 29 absolute value will remain positive. For example  ¦7  ¦= 7 and  ¦-6  ¦ = 6. The graph of given function is like this: iv). INVERSE FUNCTION Take the function y = f(x). Then the value of y can be uniquely determined for given values of x as per the functiona l relationship. . Sometimes it is required to consider x as a of y, so that for given values of y, the values of x can be determined as per the functional relationship. This is called the inverse function and is also donated by x = f -1 (y). For example consider the linear function: y= ax + b Expressing this in terms of x, we get x = = y b /a y/a b/a = cy – d where c = 1/a, and d = b/a This is also a linear function and is denoted by x = f -1 (y). v). STEP FUNCTION For different values of an independent variable x in an interval, the dependant variable y = f(x) takes a constant value, but takes Page 10 of 29 Page 11 of 29 different values in different intervals. In such cases the given function y = f(x) is called a step function. i). ALGEBRAIC TRANSCENDENTAL FUNCTIONS Functions can also be classified with respect to the mathematical operations (addition, subtraction, multiplication, division, powers and roots) involved in the functional relationship between dependant variable and independent variables. When only finite number of terms are involved in a functional relationship and variables are affected only by the mathematical operations, then the function is called an algebraic function otherwise transcendental function. The following functions are algebraic functions of x. ). ii). iii). y = 23 + 52 3x + 9 y = vx + 1/x2 Y = x3 1/ vx + 2 The subclasses of transcendental functions are: i). ii). b). Exponential Function Logarithmic Function DOMAIN: Domain consists of all real numbers except zero. Now consider f (x) = 22 where x lt; 0 Supposed the values of x are -1, -3, -5, then Page 11 of 29 Page 12 of 29 f (-1) = 2(-1)2 = 2 f(-3) = 2(-3)2 = 18 f(-5) = 2(-5)2 = 50 Its graph is as follows; f (x) = 22 60 50 40 Y-Axis 30 20 10 0 -6 -5 -4 -3 X-Axis -2 -1 Now consider f (x) = 3x + 1 if x gt; 0 Suppose value of x are 1, 3, 5, so f (1) = f (3) = f (5) = 3(1) + 1 3(3) + 1 3(5) + 1 = = = 4 10 16 Its graph will be as follows; Page 12 of 29 Page 13 of 29 f (x) = 3x + 1 18 16 14 12 10 8 6 4 2 0 2 1 Y-Axis 6 5 4 X-Axis 3 Reference: themathpage. com http://oregonstate. edu Quantitative Techniques (AIOU) Page 13 of 29 Page 14 of 29 Question 3 a). Given the following input-output table, calculate the gross output so as to meet the final demand of 200 units of Agriculture and 800 units of industry. The following data relates to the sales of 100 companies is given below: Consumer Sector Producer Sector Agriculture Industry Agriculture Industry Final Demand Total Output 300 400 600 1200 100 400 1000 2000 Marks: 10 b). Discriminate between the census and sampling methods of data collection and compare their merits and demerits. Why is the sampling method unavoidable in certain situations? Marks: 10 Page 14 of 29 Page 15 of 29 Solution: Page 15 of 29 Page 16 of 29 b). CENSUS Census is a complete enumeration of an entire population of statistical units in a field of interest. It is also called complete enumeration survey. For example, population census canvases every household in a country to count for the number of permanent residents and other characteristics; census of manufacturing canvases all establishments engaging in manufacturing activities. Data from the census serve as base-year or benchmark data. Requirement: A complete and up-to-date register of all statistical units in the field of inquiry is required. Advantages: Census provides the most reliable statistics if done professionally and with integrity. Disadvantages: Very costly to enumerate and to process data. Timeliness is low: data is available for use only many months, even years after. Census is normally carried every five or ten years. SAMPLING METHOD When the investigator studies only a representative part of the total population and makes inferences about the population on the basis of that study. It is known as sampling method or Survey. In both methods, the investigator is interested in studying some characteristics of the population. Advantages: Provide more up-to-date statistics, which are reliable if scientifically designed and professionally implemented, less costly than census. Sampling errors can also Page 16 of 29 Page 17 of 29 be obtained. Surveys are normally carried out weekly, monthly, quarterly or annually. Disadvantages: Timeliness requires prompt data processing, thus less information may be asked. SITUATIONS IN WHICH SAMPLING METHOD IS UNAVOIDABLE Sampling method is unavoidable in following situations Unlimited population Distractive population nature Unapproachable population e. g. Mobilink users In quality control, such as finding the tensile strength of a steel specimen by stretching it till it breaks. Another example is in process checking in the manufacturing of pharmaceuticals where it is not possible to check the each and every tablet or injection. Secondly quality testing results in destruction of items itself. ******************************* Page 17 of 29 Page 18 of 29 Question 4 a). The following data relates to the sales of 100 companies is given below: Sales (Lakhs) 5-10 10-15 15-20 20-25 No. of Complaints 5 12 13 20 Sales (Lakhs) 25-30 30-35 35-40 40-45 No. of Complaints 18 15 10 7 Draw less than and more than ogives. Determine the number of companies whose sales are (i) less than Rs. 3 Lakhs (ii) more than Rs. 36 Lakhs and (iii) between Rs. 13 lakhs and Rs. 36 lakhs. Marks: 10 b). Briefly explain the following important concepts: i). Continuous Data ii). Discrete Data iii). Frequency Distribution iv). Qualitative Data v). Quantitative Data Marks: 10 Page 18 of 29 Page 19 of 29 a). OGIVE â€Å"An ogive is a specialized line graph which shows how many items there are whic h are below a certain value. † The horizontal axis shows the upper class boundaries marked on the scale, just like a histogram. The vertical axis shows the cumulative frequency, which is just a fancy name for a running total. Some line graphs are actually ogives. First we calculate the cumulative frequency. We start at 5. Next line: 5 + 12 = 17 Next line: 17 + 13 = 30 Next line: 30 + 20 = 50 and so on. Sales No. of X Companies (Lakhs) (f) 5-10 5 Less than 10 10-15 12 Less than 15 15-20 13 Less than 20 20-25 20 Less than 25 25-30 18 Less than 30 30-35 15 Less than 35 35-40 10 Less than 40 40-45 7 Less than 45 Cumulative Frequency 5 17 30 50 68 83 93 100 More than 5 More than 10 More than 15 More than 20 More than 25 More than 30 More than 35 More than 40 Decumulative Frequency 100 95 83 70 50 32 17 7 ). ii). iii). Less than Rs. 13 Lakhs = 12 companies 15 companies 73 companies (Graph I) (Graph II) (Graph I) More than Rs. 36 Lakhs = B/w 13 and 36 Lakhs = Page 19 of 29 Page 20 of 29 Page 20 of 29 Page 21 of 29 Page 21 of 29 Page 22 of 29 b). i). CONTINUOUS DATA Continuous data is information that can be measured on a continuum or scale. Continuous data can have almost any numeric value and can be meaningf ully subdivided into finer and finer increments, depending upon the precision of the measurement system. In contrast to discrete data like good or bad, off or on, etc. continuous data can be recorded at many different points (length, size, width, time, temperature, cost, etc. ). Lets say you are measuring the size of a marble. To be within specification, the marble must be at least 25mm but no bigger than 27mm. If you measure and simply count the number of marbles that are out of spec (good v/s bad) you are collecting attribute data. However, if you are actually measuring each marble and recording the size (i. e. 25. 2mm, 26. 1mm, 27. 5mm, etc) thats continuous data, and you actually get more information about what youre measuring from continuous data than from attribute data. Data can be continuous in the geometry or continuous in the range of values. The range of values for a particular data item has a minimum and a maximum value. Continuous data can be any value in between. ii). DISCRETE DATA Discrete data is information that can be categorized into a classification. Discrete data is based on counts. Only a finite number of values is possible, and the values cannot be subdivided meaningfully. For example, the number of parts damaged in shipment. Example . A 5 question quiz is given in a Math class. The number of correct answers on a students quiz is an example of discrete data. The number of correct answers would have to be one of the Page 22 of 29 Page 23 of 29 following: 0, 1, 2, 3, 4, or 5. There are not an infinite number of values, therefore this data is discrete. Also, if we were to draw a number line and place each possible value on it, we would see a space between each pair of values. iii). FREQUENCY DISTRIBUTION Frequency distribution is a way of summarizing a set of data. It is a record of how often each value (or set of values) of the variable in question occurs. It may be enhanced by the addition of percentages that fall into each category. A frequency table is used to summarize categorical, nominal, and ordinal data. It may also be used to summarize continuous data once the data set has been divided up into sensible groups. Example Suppose that in thirty shots at a target, a marksman makes the following scores: 522344320303215 131552400454455 The frequencies of the different scores can be summarized as: Score 0 1 2 3 4 5 Frequency 4 3 5 5 6 7 Frequency (%) 13% 10% 17% 17% 20% 23% Page 23 of 29 Page 24 of 29 iv). QUALITATIVE DATA Qualitative data is extremely varied in nature. It includes virtually any information that can be captured that is not numerical in nature. Qualitative data are generally (but not always) of less value to scientific research than quantitative data, due to their subjective and intangible nature. It is possible to approximate quantitative data from qualitative data Qualitative methods are ways of collecting data which are concerned with describing meaning, rather than with drawing statistical inferences. What qualitative methods (e. g. case studies and interviews) lose on reliability they gain in terms of validity. They provide a more in depth and rich description. v). QUATITATIVE DATA Information that can be counted or expressed numerically. This type of data is often collected in experiments, manipulated and statistically analyzed. Quantitative data can be represented visually in graphs and charts. Quantitative methods are those which focus on numbers and frequencies rather than on meaning and experience. Quantitative methods (e. g. experiments, questionnaires and psychometric tests) provide information which is easy to analyze statistically and fairly reliable. Quantitative methods are associated with the scientific and experimental approach and are criticized for not providing an in depth description. Page 24 of 29 Page 25 of 29 Reference: stats. gla. ac. uk/ en. wikipedia. org www. isixsigma. com Page 25 of 29 Page 26 of 29 Question 5 a). What are the Quantiles? Explain and illustrate the concepts of Quartiles, deciles and Percentiles? Marks: 10 b). The geometric mean of 10 observations on a certain variable was calculated to be 16. 2. It was later discovered that one of the observations was wrongly recorded as 10. , when in fact it was 21. 9. Apply appropriate correction and calculate the correct geometric mean. Marks: 10 Page 26 of 29 Page 27 of 29 a). QUANTILE â€Å"Quantiles are points taken at regular intervals from the cumulative distribution function (CDF) of a random variable† For example quantiles divide distribution into four parts. QUARTLE â€Å"A quartile is any of the three values which divide the sorted data set int o four equal parts, so that each part represents one fourth of the sampled population. † Each quartile contains 25% of the total observations. Generally, the data is ordered from smallest to largest with those observations falling below 25% of all the data analyzed allocated within the 1st quartile, observations falling between 25. 1% and 50% and allocated in the 2nd quartile, then the observations falling between 51% and 75% allocated in the 3rd quartile, and finally the remaining observations allocated in the 4th quartile. Its formula is: Quartiles where = l + h(2n/4 pcf) f l h f n pcf = lower class boundary of specific class = class interval = frequency of specific class = total frequecy i. . ? f = n = cumulative frequency of preceding class Page 27 of 29 Page 28 of 29 DECILES Any one of the numbers or values in a series dividing the distribution of the individuals in the series into ten groups of equal frequency. Since nine points divide the distribution into ten equal parts, we shall have nine deciles denoted by D1, D2, †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. D9. The formula of decile is: Decile (DL) = where l + h(2n/10 pcf) f l h f n pcf PERCENTILES = lower class boundary of specific class = class interval = frequency of specific class = total frequecy i. . ? f = n = cumulative frequency of preceding class Those values which divide the total data into hundred equal parts are called percentiles. Since 99 points divide the distribution into hundred equal parts, we shall have 99 percentiles denoted by P1,P2, †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ P99. Its formula is: Percentile (Pi) where = l + h(2n/100 pcf) f l h f n pcf = lower class boundary of specific class = class interval = frequency of specific class = total frequecy i. e. ? f = n = cumulative frequency of preceding class Page 28 of 29 Page 29 of 29 b). Page 29 of 29

Markets and the Economy Term Paper Example | Topics and Well Written Essays - 1000 words

Markets and the Economy - Term Paper Example These built-in stabilizers are: transfer payments and income taxes. During economic downturn, government employs loose fiscal policy in order to increase aggregate demand which leads the economy towards recovery. The government offers subsidiaries to the business sector in order to reduce the level of unemployment. The tax cut increase the profit at the cost of decrease government revenue. According to the Keynesian economists, an expansionary fiscal policy employed by the government during the recession could stabilize the economy. This is so because as the result of this policy aggregate demand will increase that will stimulate the passive economy. This point of view of loose fiscal policy is rejected by many economists on the ground that the increase in aggregate demand (AD) will generate the crowding out situation in an economy. A crowding out situation means the fall in the spending of the private sector as the result of increased government spending. However, this rejection is ruled out by the counter argument that ‘crowding out’ will not formulate because the government will increase its spending only by using its previously unemployed resources. IS curve is a curve that is formed to show a negative relation between the interest rate and the income. During the time period of recession, the effectiveness of the fiscal policy depends on the sensitivity of IS curve. The effect of the fiscal policy will be greater in case of steeper IS curve whilst it will be less in case of flatter IS curve. Thus, in case of inelastic IS curve (steeper) the fiscal policy will be effective due to a little crowding out of the private investment. Khan (2010) indicated in an article that it is important for economies to keep deficit as low as possible in order to be able to meet the deficit by use of domestic resources or by borrowing from international fund providers. A low budget deficit helps an economy to become stabilized early by meeting