Communication Difficulties in English Speaking Essay

Communication Difficulties in English Speaking - Essay Example In native English speaking countries such as the United States, England and Australia, the accent and the vocabularies are slightly different. In countries like India and China English is accepted as a second language and has included in the curriculum because of the importance of English as an international language. But even then peoples from non-native English speaking countries were experiencing problems in communicating with those who have English as their mother tongue. â€Å"With the number of foreign investors flocking to India and the growth of outsourcing, English has come to play a key role in professional relationships between foreign and Indian companies. Familiarity with the differences between American and British English has definitely grown as much business communication is carried out according to the language style with which a client is comfortable.† (Khokhar) This paper briefly analyzes the problems faced in communicating through English by two different groups of people from one native English speaking country, Australia and one non-native English speaking country, India. In a communication process, the addresser and the addressee use a frame of reference: their knowledge of the subject under discussion, their experience in professional or individual terms, their norms, i.e. the norms of the society in which they live, their assumptions, i.e. what is taken as a factor believed to be true. Australians and the Indians have entirely different cultures and attitudes. India is one of the biggest and heavily populated country having diversified languages and cultures whereas Australia is comparatively a small country having almost a unique culture and religion. The outlooks of these societies may be different because of their cultural differences and hence in communications also these differences can play a part. Though it is closer to British English since it originates from that style, with the influx of globalization American English has definitely had an impact on the youth as well as in the professional sphere.

Decision-Making Models Math Problem Example | Topics and Well Written Essays - 4000 words

Decision-Making Models - Math Problem Example The researcher states that the amount of inventory that Company A needs to order can be determined with the use of economic order quantity (EOQ) model. According to Williamson  EOQ models are used for identifying the optimal order quantity. In order to do this the model minimizes the sum of certain costs that vary with order size and the frequency of orders. Williamson (2012) describes three order size models – the basic economic order quantity (EOQ) model; the economic production quantity (EPQ) model; and the quantity discount model. The basic EOQ model is used to find the order size that would minimize company A’s total annual cost. The formula and the calculations follow. Q0 = √(2DS/H) Where, Q0 is the order quantity in units D is the annual demand in units S is the order cost for each order made H is the holding or carrying the cost for each unit of inventory per year Company A’s information is as follows: - Annual demand (D) is 18,000 units per annum - Ordering cost (S) is $38 per order - Holding cost (H) is 26% of the cost of the inventory which is $12 per unit Q0 =   Ã¢Ë†Å¡[(2 x 18,000 x $38)/(0.26 x $12)]   Ã‚  Ã‚  Ã‚   = √(1,368,000/3.12)   Ã‚  Ã‚  Ã‚   = √438461.54 = 662 units   Ã‚  Ã‚  Ã‚   = 662 units The results indicate that the economic order quantity that will minimize total annual cost is 662 units per order. Company A produces the goods that it sells and so the economic production lot size model is the most appropriate model for use in this scenario (Williamson 2012). The formula for performing the calculations that provide the results is as follows: Qp = √(2DS/H) √[p/(p-u)] Where, Qp is the economic run quantity p is the production or delivery rate u is the usage rate    Qp = √[(2 x 15,000 x $84)/(0.28 x $19)] √[60,000/(60,000-15,000)]   Qp = √(2,520,000/5.32) √1.33 Qp = 699.25 x 1.15 Qp = 791 The results indicate that the economic production lot size that will minimize total annual cost id 791 units per production run.

Information System Project Management Research Paper

Information System Project Management - Research Paper Example Week 10 Week 11 Testing Testing Testing Week 12 Week 13 Coding Week 14 Week 15 Testing Coding Week 16 Testing Testing Week 17 Coding Coding Coding Week 18 Testing Testing Testing Week 19 Week 20 Write a memo to Tom Jones explaining if john can or cannot meet Tom's goal of five Months. Inter office Memo From: Project Manager To: Accounts Manager I am attaching the project schedule with this IOM. Please go through it. Here I want to inform you that according to this project schedule we can complete this project in given time of five months. To complete this project within the time limit, we need your support and co-operation time to time. John Price Project Manager How Should John ensure that the project is completed on time as determine by the network Is there any way the time for the project can be shortened Using this project schedule john can easily ensure that project can be completed on time. For completing the project on time from networks point of view, John need to focus on the work done by networking department. Because in the project schedule only the network manager has a longer lead time to complete this project. Network manager is taking 13 weeks for completing its work. Any delay in networking work may cause delay of the project. To avoid delay in networking John has to ensure that each & every activity scheduled in project should complete on time. If there are some problem in completing an activity, then early decision are to be made to rectify the problem. John should make a grid on a paper and keep this paper on his table every time. After completing of activity John can tick on the grid and can have a overview on the complete project. Yes, the project time...Network manager is taking 13 weeks for completing its work. Any delay in networking work may cause delay of the project. To avoid delay in networking John has to ensure that each & every activity scheduled in project should complete on time. If there are some problem in completing an activity, then early decision are to be made to rectify the problem. John should make a grid on a paper and keep this paper on his table every time. After completing of activity John can tick on the grid and can have a overview on the complete project. Yes, the project time can shortened if the design the network changes can be completed in one week instead of two weeks, if the cabling can be completed in one week instead of two weeks, if the quotation open can be completed in 4 weeks instead of five weeks. So over all three weeks can be free if we shorten only three activities. So if we keep concentrate on each an every activity then only the project can be complete early. Raw Material: There should be some procedure of quality control to check the incoming material. If the incoming material is of good quality then obliviously the final product will be made of good quality. There may procedure to test the incoming material in quality control department. Machines: The maintenance of machine should be on time, so that they will not malfunction during the project work.

Study design report & analytical planning and data analysis Essay Example for Free

Study design report analytical planning and data analysis Essay Part 2 STUDY TWO (Open file 1. 2. sav dataset) RESEARCH QUESTIONS: Factors related to birth weight outcomes specifically for this study: 1. Are there differences between three birthweight groups in maternal lead level? 2. Is maternal age at first childbirth associated with birth weight? BACKGROUND: It has been suggested by previous research findings that maternal blood-lead levels as an environmental factor is an apparent predictor of low birth weight; another possible explanatory factor of low birth weight relates to the maternal age of the mother. This study aimed to explore relationships between maternal blood lead levels, and maternal age (at first childbirth) with any observed differences in birth weight as a pregnancy outcome. METHODS: Life style information, maternal blood lead levels measured by micrograms per decilitre ( µg/dl), age of mother (years) and infant birth weight (grams) was collected from 250 consecutive (first-time) mother-infant pairs from hospital delivery departments in four Brisbane hospitals. Pregnancy outcomes (weight) were verified by consulting medical records. Lead was determined by electro thermal atomic absorption spectrometry (Whole Blood). Birth weight was recoded into three classes: Low birth weight (2500g); Lower end of normal (2500-3000g) and Normal (3000g). Additional notes: Lead exposure adversely affects the cognitive development and behaviour of young children . Regarding ‘LEAD EXPOSURE IN PREGNANCY’, according to the Centre for Disease Control (CDC), the acceptable blood lead level is 10 ug/dL. US Department of Health and Human Services, Agency for Toxic Substances and Disease Registry, 1999. . Write an unambiguous analytical plan to address the research question/s in the box above. Please note that the data required for this question are located on file1. 2. 1. What are the variables involved in answering the research question/s, e. g. independent dependant variables; In the first research question, the independent variable is the maternal lead level, while the dependent variable is birth weight of the infants. In the second research question, the independent variable is the age of the mother at first childbirth and the dependent variable is birth weight. 2. What is their level of measurement (type); All variables considered in this study birth weight of the infants, age of the mother at first childbirth and maternal lead level are ratio variables. Ratio variables are those which are measured on a scale where the distance from one point to another means the same things wherever the measurement is made on the scale. This scale is also characterized to have a true zero point representing the absence of what is being measured (Statistical Glossary, 2007) 3. Write-up the scientific hypotheses that you want to test to address the research question/s; The following hypotheses, stated in the null form, were tested at a 0. 05 level of significance : a. There are no significant differences in the means of the maternal lead levels when the infants are grouped according to birthweight. b. There is no significant association between maternal age at first childbirth and the birthweight of infants. 4. What tables (numerical) and/or graphs would you use to summarise the associations once the data are collected and analysed? Provide ‘dummy’ tables and/or graphs with appropriate labels; The following tables summarize the associations revealed from the test of the first hypothesis. Table 1. Significant Differences in the Maternal Lead Levels When the Infants are Grouped According to Birthweight based on One-Way Analysis of Variance (? = 0. 05). Source of Variation Sum of Squares Degrees of freedom (df) Mean Square F-value p-value Remarks Between groups 42. 492 2 21. 246 4. 350 0. 014 Significant difference in at least one pair of means Within groups 1206. 255 247 4. 884 Total 1248. 747 249 Table 2. Mean differences and p-values in the Maternal Lead Levels Among the Three Groups of Infants using Bonferroni Post-hoc Analysis Infant Groups Mean differences in Maternal Lead Levels (I – J) p-value Remarks I J Low birthweight Lower end of normal birthweight 0. 5952 0. 645 No significant difference Normal birthweight -0. 3895 1. 000 No significant difference. Lower end of normal birthweight Low birthweight 0. 5952 0. 645 No significant difference Normal birthweight -0. 9848 0. 011 Maternal lead level Significantly Higher in normal weight infants Normal birthweight Low birthweight 0. 3895 1. 000 No significant difference Lower end of normal birthweight -0. 9848 0. 011 Maternal lead level Significantly Higher in normal weight infants The following tables summarize the associations revealed from the test of the second hypothesis. Table 3. Relationship Between Maternal Age at Childbirth and Birthweight of Infants (? = 0. 011) Variables Correlation. Coefficient p-value Remarks Maternal age of mothers at first childbith (independent) vs. Birthweight of infants (dependent) 0. 18 0. 004 There is significant slight correlation between maternal age of mothers at first childbirth and the birthweight of infants. 1 Hypothesis was tested using 0. 01 level of significance. Results of the test of hypothesis that â€Å"There is no significant association between maternal age at first childbirth and the birthweight of infants† is shown in Table 3. 5. Provide a statement of the statistical test(s) that will be appropriate to test the hypotheses; To test the hypothesis that â€Å"There are no significant differences in the means of the maternal lead levels when the infants are grouped according to birthweight†, the best statistical treatment to use is one way Analysis of Variance ANOVA at a 0. 05 level of significance. When the computed p-value, which for this study is 0. 014 is less than the level of significance, which is 0. 05, there is significant difference in at least one pair of means. To evaluate, which of the means differed, a post-hoc analysis is conducted. Since there are only three groups, the conservative Bonferroni multiple comparisons test is applied. P-values from the post hoc analysis indicate which of the pairs of mean differed. To determine which of the two means that differed is actually higher, either the descriptives which shows the means of the groups or the mean difference in post-hoc analysis results may be used. To test the hypothesis that â€Å"There is no significant association between maternal age at first childbirth and the birthweight of infants† correlation analysis is employed at a 0. 01 level of significance. The resulting value of the correlation coefficient was interpreted using the following table : Table 4. Interpretation of Pearson’s Coefficient of Correlation (Monzon-Ybanez, 1997) Coefficient Range Interpretation 0. 00  ± 0. 20  ± 0. 20  ± 0. 40  ± 0. 40  ± 0. 70  ± 0. 70  ± 0. 90  ± 0. 90  ± 1. 00 Slight correlation; almost negligible relationship Low correlation; small relationship Moderate correlation; relationship substantial High correlation; marked relationship Very high correlation; Very dependable relationship Correlation is significant if the p-value generated is less than the specified level of significance. 6. Provide a list of assumptions that will need to be met to apply the test(s) validly; To validly apply ANOVA, the following assumptions must be satisfied : the distribution of the data to be analysed should be normal and there should be homogeneity of variance. Normality may be simply checked using Q-Q plots or with statistical tests like Kolmogorov-Smirnov or Shapiro Wilk. Homogeneity of variance is verified using Levene’s test (Becker, 1999). In a correlation analysis, relationship between the independent and dependent variables are supposed to be concurrent, or in other words, both variables are in the same time frame (Jensen, 2005). 7. Provide a statement of the levels of significance, that you will use to test each hypothesis; The hypothesis that â€Å"There are no significant differences in the means of the maternal lead levels when the infants are grouped according to birthweight† was tested at a level of significance (? ) of 0. 05. The hypothesis that â€Å"There is no significant association between maternal age at first childbirth and the birthweight of infants† was tested at a level of significance (? ) of 0. 01. 8. Finally, provide a sentence or two that you would present to the researchers to explain the results at both a descriptive (univariate) and inference (bivariate) level. Results of a one-way Analysis of Variance revealed a significant difference in the maternal lead levels among the three groups of infants grouped according to birth weight, with an F-value of 4. 350 and a p-value of 0. 014. Post hoc analysis via Bonferroni multiple comparisons test suggested that the mean of maternal lead levels of the group of infants with normal birthweight (4. 4052  ± 2. 37333) are significantly higher (p=0. 011) than the mean of maternal lead levels of the group of infants at the lower end of the normal birthweight (3. 4214  ± 1. 55170). No significant differences were noted on the other pairs of means. On the other hand, a correlation analysis performed at 0. 01 level of significance implied significant slight correlation (Pearson r = 0. 18, p-value=0. 004) between maternal age at first childbirth (32. 11  ± 5. 274) and birthweight of infants (3204. 47  ±620. 986). References Becker, L. (1999, July 7). Explore: Assumption testing for ANOVA.Retrieved April 11, 2008, from The University of Colorado at Colorado Springs: http://web. uccs. edu/ lbecker/spss80/explore2. htm. Jensen, A. (2005, August 10). Correlation Analysis. Retrieved April 10, 2008, from California State University, Sacramento: http://www. csus. edu/indiv/j/jensena/ mgmt105/correl01. htm. Monzon-Ybanez, L. (1997). Basic Statistics. Quezon City, Philippines : Phoenix Press, Inc. Statistical Glossary. (2007). Retrieved April 10, 2008, from http://www. statistics. com/resources/glossary/r/ratioscale. php. Statistical Package for the Social Sciences. (2006). Version 11. 0. [CD-ROM] Chicago, Illinois.

Chilling Sins :: essays research papers

Sin is considered something highly immoral, a despicable act that defies divine law. Anyone who commits a sin is regarded as a serious offender of that which is pure. In the novel, The Scarlet Letter, Nathaniel Hawthorne left it to the reader to determine who was the real wrongdoer in the novel. Was it the adulterous Hester Prynne, or the hypocritical Arthur Dimmesdale, or the revenge obsessed Roger Chillingworth? Puritan belief tells us it should be Hester Prynne, because she was a weak-willed woman who broke the vow given to her husband and conceived a child with someone else. However, Hawthorne declares Chillingworth as the greatest sinner because he left his wife alone, lied to the community, betrayed the trust of his patient as a friend and a doctor, and clutched revenge too fondly to his heart.   Ã‚  Ã‚  Ã‚  Ã‚  Before Chillingworth ever was the man after so many turns of events, he had been Master Prynne, happy bridegroom to Hester. Knowing his wife did not love him, he strove to please her, yet at once forgot about his duty as a husband to â€Å"...dwell with them according to knowledge, giving honour unto the wife, as unto the weaker vessel† (1 Peter 3:7 KJV) and sent her to take care of his lands in Boston. This would have been slightly acceptable if he had promised to come to her in the very next passage after completing some important affairs, but that was not the case. The man, so used to being alone, preferred two more years of research in alchemy and sciences before finally reaching his wife, only to find her holding the child of some unknown man. Therefore, it is not completely her burden that she committed adultery then, for it was he that set the stage for this crime, slacking off as husband to his wife. Whatever sin she must bear, he equally bears it. He even says it himself. â€Å"Mine was the first wrong...between thee and me, the scale hangs fairly balanced† (Hawthorne 72).   Ã‚  Ã‚  Ã‚  Ã‚  After being lost for so long, the first thing Mr. Prynne does as he enters the community is shy away from his true title. He gives up the name and is born anew as Roger Chillingworth, physician and newcomer in Boston. At once, the people take this as the truth and welcome him with open arms, not knowing they invite a serpent, caring only for his prey, into their midst. Chilling Sins :: essays research papers Sin is considered something highly immoral, a despicable act that defies divine law. Anyone who commits a sin is regarded as a serious offender of that which is pure. In the novel, The Scarlet Letter, Nathaniel Hawthorne left it to the reader to determine who was the real wrongdoer in the novel. Was it the adulterous Hester Prynne, or the hypocritical Arthur Dimmesdale, or the revenge obsessed Roger Chillingworth? Puritan belief tells us it should be Hester Prynne, because she was a weak-willed woman who broke the vow given to her husband and conceived a child with someone else. However, Hawthorne declares Chillingworth as the greatest sinner because he left his wife alone, lied to the community, betrayed the trust of his patient as a friend and a doctor, and clutched revenge too fondly to his heart.   Ã‚  Ã‚  Ã‚  Ã‚  Before Chillingworth ever was the man after so many turns of events, he had been Master Prynne, happy bridegroom to Hester. Knowing his wife did not love him, he strove to please her, yet at once forgot about his duty as a husband to â€Å"...dwell with them according to knowledge, giving honour unto the wife, as unto the weaker vessel† (1 Peter 3:7 KJV) and sent her to take care of his lands in Boston. This would have been slightly acceptable if he had promised to come to her in the very next passage after completing some important affairs, but that was not the case. The man, so used to being alone, preferred two more years of research in alchemy and sciences before finally reaching his wife, only to find her holding the child of some unknown man. Therefore, it is not completely her burden that she committed adultery then, for it was he that set the stage for this crime, slacking off as husband to his wife. Whatever sin she must bear, he equally bears it. He even says it himself. â€Å"Mine was the first wrong...between thee and me, the scale hangs fairly balanced† (Hawthorne 72).   Ã‚  Ã‚  Ã‚  Ã‚  After being lost for so long, the first thing Mr. Prynne does as he enters the community is shy away from his true title. He gives up the name and is born anew as Roger Chillingworth, physician and newcomer in Boston. At once, the people take this as the truth and welcome him with open arms, not knowing they invite a serpent, caring only for his prey, into their midst.

Reading response on Communication Essay

For any effective communication, there must be understanding between the parties involved. This will therefore depend on the medium used and consideration of the barriers to effective communication. Students depend on communication to learn and when it is effective and inclusive, they get opportunities to grow and learn. In education, parents who are magnetic involve themselves in finding opportunities for their children. This is by involving the community at large and the administration to get opportunities for their children(Henderson, 297). Other parents are not concerned, which leads to inequality between the different children. Other families plan a teacher visit to the family, which increases unity and communication. When a teacher, parent and a student have a close relationship, they facilitate ample communication that leads to growth and opportunities. Accordind to (Mediratta, 32), for one to create opportunities that leads to growth among children, there should be a link between the outside of the school and the culture in the school. This is because the teachers do not understand the base the children are coming from especially in boarding schools. The power issue of the teachers goes down when the parents and their children mingles freely with the children which increases communication avenues. Poor families lack even the basic needs which make their students lack concentration due to the stress of their homes. This leads to inequality in the opportunities to children from richer families. Creating a link between the families and the general community leads to expansion of the communication network which leads to opportunities and growth. This addresses structural inequality and enables student from poor families learn and have good health. According to WARREN, (15), translation of important information to languages that learners understands leads to effective communication. Those who understands the foreign language have added advantage to those who can not. A barrier to translation is money to pay the translators and some parents lack the time to opportunity talk. In opportunity talks, the issue of freedom when talking is an issue due to distrust among members in the society(Zehr, 8). Relationships that can be trusted spread opportunities and this is true with parents who create friendship with their children’s teachers as they create trust between them. This is different from the parents who can not create this relationshipthat lead to disadvantage on their students’ opportunities. Organizing and planning for events for the school with older people with children improves their skills and confidence. This boosts their opportunities and improves their communication prowess unlike those who do not involve themselves in such programs. References Henderson, T Anne, Johnson Vivian, Mapp Karen, and Davies Don. Selection from Beyond the Bake Sale: The Essential Guide to Family/School Partnerships. New York: The New Press, (2007): 296-301 Mediratta, Kavitha, Shah Seema, and McAlister Sara.Building Partnerships to Reinvent School Culture: Austin Interfaith. Providence, RI: Annenberg Institute for School Reform. Mark Warren, â€Å"Communities and Schools.†(2009):1-49. Print. WARREN, MARK. ‘Communities And Schools: A New View Of Urban Education Reform’. Harvard Educational Review 2.75 (2005): 1-40. Print. Zehr, M. A. Civil Rights Deal Signals Federal Push for Translation Services. Education Week, (2011): 30(3), 8-9. Source document

Automobile and Large Mass

There was once a little boy of 6 years old called Lewis. One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car. Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them. To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. There was once a little boy of 6 years old called Lewis. One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car.Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them. To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. There was once a little boy of 6 years old called Lewis. One day, as he was looking out o f the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car. Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them.To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. There was once a little boy of 6 years old called Lewis. One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car. Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them. To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. There was once a little boy of 6 years old called Lewis.One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car. Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them. To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. There was once a little boy of 6 years old called Lewis. One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car.Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them. To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. So Lewis asked his father: â€Å"Dad, what’s that grey smoke above our cars? † Lewis’ father was a little surprised by the question, but answered: â€Å"Well, Lewis, it’s called pollution. † There was once a little boy of 6 years o ld called Lewis. One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car.Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them. To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. So Lewis asked his father: â€Å"Dad, what’s that grey smoke above our cars? † Lewis’ father was a little surprised by the question, but answered: â€Å"Well, Lewis, it’s called pollution. † There was once a little boy of 6 years old called Lewis. One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car.Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them. To Lewisâ€⠄¢ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. So Lewis asked his father: â€Å"Dad, what’s that grey smoke above our cars? † Lewis’ father was a little surprised by the question, but answered: â€Å"Well, Lewis, it’s called pollution. † There was once a little boy of 6 years old called Lewis. One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car.Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them. To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. So Lewis asked his father: â€Å"Dad, what’s that grey smoke above our cars? † Lewis’ father was a little surprised by the question, but answered: â€Å"Well, Lewis, it’s called pollution. â €  â€Å"Pollution? What’s pollution? † asked Lewis, waiting intrigued for his father’s answer. â€Å"Well, for example, it’s that grey smoke you can see above our cars.Cars that run on petrol or diesel give off gasses into the atmosphere, which are very bad for all living beings and the planet too. Today you can see a lot of the grey smoke because it hasn’t rained for a long time,† answered his father. There was once a little boy of 6 years old called Lewis. One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car. Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them.To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. So Lewis asked his father: â€Å"Dad, what’s that grey smoke above our cars? † Lewis’ father was a little surprised by the question, but answered: â€Å"Well, Lewis, it’s called pollution. † â€Å"Pollution? What’s pollution? † asked Lewis, waiting intrigued for his father’s answer. â€Å"Well, for example, it’s that grey smoke you can see above our cars. Cars that run on petrol or diesel give off gasses into the atmosphere, which are very bad for all living beings and the planet too.Today you can see a lot of the grey smoke because it hasn’t rained for a long time,† answered his father. There was once a little boy of 6 years old called Lewis. One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car. Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a There was once a little boy of 6 years old called Lewis. One day, as he was looking out of the car window on his way to school, he discovered that a large mass of grey smoke was forming just above his dad’s car.Somewhat alarmed, Lewis looked at the other cars on the road to find out if they too had a cloud of grey smoke chasing them. To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. So Lewis asked his father: â€Å"Dad, what’s that grey smoke above our cars? † Lewis’ father was a little surprised by the question, but answered: â€Å"Well, Lewis, it’s called pollution. † â€Å"Pollution? What’s pollution? † asked Lewis, waiting intrigued for his father’s answer. â€Å"Well, for example, it’s that grey smoke you can see above our cars.Cars that run on petrol or diesel give off gasses into the atmosphere, which are very bad for all living beings and the planet too. Today you can see a lot of the grey smoke because it hasn’t rained for a long time,† answered his father. cloud of grey smoke chasing them. To Lewis’ surprise,  all the cars travelling on the motorway had the grey smoke hovering around them. So Lewis asked his father: â€Å"Dad, what’s that grey smoke above our cars? † Lewis’ father was a little surprised by the question, but answered: â€Å"Well, Lewis, it’s called pollution. † â€Å"Pollution? What’s pollution? asked Lewis, waiting intrigued for his father’s answer. â€Å"Well, for example, it’s that grey smoke you can see above our cars. Cars that run on petrol or diesel give off gasses into the atmosphere, which are very bad for all living beings and the planet too. Today you can see a lot of the grey smoke because it hasn’t rained for a long time,† answered his father. d by the question, but answered: â€Å"Well, Lewis, it’s called pollution. † â€Å"Pollution? What’s pollution? † asked Lewis, waiting i ntrigued for his father’s answer. â€Å"Well, for example, it’s that grey smoke you can see above our cars.Cars that run on petrol or diesel give off gasses into the atmosphere, which are very bad for all living beings and the planet too. Today you can see a lot of the grey smoke because it hasn’t rained for a long time,† answered his father. Lewis spent a while pondering on this, and began to put two and two together. If the  grey smoke was bad, and it was all because of cars, then  why were there so many cars on the road? â€Å"Dad,† said Lewis slowly, â€Å"If the grey smoke is pollution and is bad for us,  why are we going to school in a car? † â€Å"So I can get to work on time, son.The bus or metro would make us late,† answered his father. It was Spring. As soon as the cold weather went, it came back again. The sun seemed ashamed to show his smily face for more than the odd morning. To top it all, loads of people were sick . A spectacular chucking-up bug was going around the school. If anyone looked so much as a bit pasty in class, the teacher would grab an empty litter bin and tell them to hold it close by. Minutes later the school secretary would be calling Little So and So’s mother and telling her to get over quickly and collect her sick child.The bug even got poor Isis, who was NEVER off school. Like everything else about her, Isis’s attendance record was usually perfect – but not this week, because there was no way she could come in. She texted Katie: â€Å"Poor me, I feel so rotten! Chucked up 6 times. Is that a world record? † Katie had so far escaped the bug. She was very careful about washing her hands and not going near anyone who coughed or spluttered. She asked her mother what could be done for Isis, and she suggested an ancient witch’s remedy made from mint leaves and mandrake’s root. ‘Sounds great,’ said Katie, â€Å"Why don’ t witches cure everyone? ’