Three Strategies or Practices Identified in the Chapter

Discuss three strategies or practices identified in the chapter that you feel are most important in planning, composing, and revising professional documents. Which of these do you use? Which part of the process do you spend more time on: revising, editing, or proofreading? Why? The three most important practices in planning, composing, and revising professional documents are: -Analyzing the problem, defining the purpose of the document, and analyzing my audience. -Provide accurate, concise, and complete information. Getting feedback from someone else. Before beginning a document you must assess the purpose of your writing, and who your audience is. Once you know what you are writing about, and whom you are writing it to, then begins the formulation of ideas. I personally first review documents that relate to the topic and create key points to include in my writing. After you begin creating a thought process aligned with your writing, start free writing. During your free writing proce ss, try not to deviate from your points.Provide accurate information, be concise and to the point, and complete your thoughts. Now that you feel you have drafted all the appropriate key points, and all the information you wanted to include, begin reviewing. During this review process, check for grammatical errors, conciseness, and that your thoughts are delivered for clear comprehension. Now that you feel you have created a professional document, put it to the test. Most important for me, is letting someone else read it. You may get some criticism, but better by one person than a large number of readers.At this time you can make the appropriate adjustments, and feel more confident in the message you are relaying. All the techniques I mentioned is the process I use to compose writing documents. These steps were helpful in my success as a proficient writer. Proofreading is the most important aspect, and what I spend most of my time on. This is your last chance to impress your reader a nd make sure your writing represents you, and shows your commitment to your work. Locker, K. O. , & Kienzler, D. S. (2010). Business and Administrative Communication. New York, NY: McGraw-Hill/Irwin.

Career Guidance

2. compare geographic information and develop hypotheses about the economic development and standard of living in various countries. 3. examine geographic information to test hypotheses. 4. make inferences about other factors that influence the economic development/ standard of living of a country. Standards: 1,11,15,16 Skills: 1,2,4,5 Materials: Maps showing resources Map of Africa Chart showing per capita GNP Pictures to stimulate discussion Procedures: PREPARATION: 1. Label 10 x 13 size envelopes (3 per group) as follows: Group 1 Envelope A Group 1 Envelope B Group 1 Envelope C. Repeat for groups 2 – 7. 2. Copy the attached copy of the seven individual countries seven times and make a transparency of it. Cut out the seven map keys and one copy of each individual country. Attach one country and the map key to half a sheet of construction paper and laminate if possible. Place country A in Envelope A for Group 1, country B in Envelope A for Group 2, etc. 3. Make seven copies of a blackline map of Africa and seven copies of a chart showing per capita GNP figures for Africa. Mount the map and the chart on construction paper and also laminate, if possible. Place a copy of the map and the chart in Envelope B for each group. 4. Find pictures to represent the various factors to be discussed (as many as possible). You would need seven pictures to represent each factor (one for each group) or seven copies. Mount these on construction paper and laminate. Place pictures in Envelope C for each group. 71 GROUPS: Divide the class into groups (up to 7). QUESTION: Ask: When you hear the term standard of living, what does it mean to you? After the Discussion, which should include the definition of standard of living (see definitions), explain that the first factor that influences a country’s standard of living is the material wealth as evidenced by a country’s natural resources and agricultural products. BRAINSTORM: Distribute the 3 envelopes to each group but ask them not to open any of them until they are asked to do so. Tell them that Envelope A contains the map of an individual country and the map key. All names have been removed so that they will not be able to bring any prior knowledge to this activity. Have them open Envelope A and examine the map and the key. List the resources and products shown and then brainstorm about what can be done with those resources and products and how to obtain anything they need but don’t have. (approximately 5 minutes) MAKE COMPARISONS: Show transparencies of all seven countries. Let each group report. Write their finding on the transparency beside the appropriate country or on the chalkboard. HYPOTHESIZE: Based on the brainstorming, which country is wealthiest? Rate them from 1 to (varies). (Depends on number of groups used). Write the ratings on the transparency. INTRODUCE VOCABULARY: Explain that the reason you examined the resources and products of each country first is that a country’s resources and products influence the material wealth and therefore the economic development and standard of living of a country. One measure of a country’s standard of living is per capita GNP. Define per capita GNP. (See definitions) EXAMINE MAP AND CHART: Tell your groups to open Envelope B. Compare the map of Africa and identify the particular country they were working with. They should raise their hands and tell you so you can mark it on the transparency as soon as they find it. Then ask them to look up their country’s per capita GNP and add it to the information already on the transparency. Now check your hypotheses. How do the countries really rate? If all is well, you should have them rated incorrectly so you can point out that there are other factors that playa part. (See introduction. ) EXAMINE PICTURES: In Envelope C, which may be opened now, you will find pictures related to a country’s standard of living. Take about 2 minutes to identify the factor each picture represents. Put a list on the overhead and tell your groups that they are now going to draw some conclusions about these factors and how they influence a country’s standard of living. (If you made copies of pictures you may want to put the originals up in the room and/or make transparencies of them). 72 DRAW CONCLUSIONS: Have groups discuss and come to some conclusions about how each of the factors influence a country’s economic development/standard of living. Then ask about any other factors they can think of. See attached list as a hint but there may be others). VOCABULARY: Economic systems – the approach or technique that a country uses to deal with scarcity and achieve its economic goals. Standard of Living -ca measure of the amount of good and services an individual or group considers essential to well-being. GNP or gross national product – a measure of the value of all the good and services pro duced by a nation in a given time period, usually one year. Per capita GNP – GNP is divided by the population. The amount of money per person the people of a country or in a certain region earn. Life expectancy – the average number of years people can be expected to live. Literacy rate – the ratio of the number of people in a population who can read and write of the total number of persons in a population. Birth rate – the ratio of the number of live births during one year to the total population, expressed as the number of births per year per 1000 population. Death rate (mortality rate) – the ratio of the number of deaths during one year to the total population, expressed as the number of deaths per year per 1000 population. Infant mortality rate – the ratio consisting of the annual number of deaths of infants not over one year old to the total number of live births during that year. Infrastructure – the basic structure of services, installations, and facilities needed to support industrial, and other economic development; included are transport and communications, along with water, power, and other public utilities. Natural increase – the number of births in a country minus the number of deaths Population growth rate – natural increase plus migration into a country minus migration out ofa country. o FACTORS INTRODUCED IN PICTURES: . 2. 3. 4. 5. 6. Water (affects the economic and agricultural development) Sanitation (affects health and life expectancy) Health care (affects life expectancy, infant mortality rate, birth rate, death rate) Population growth (natural increase and population growth rate) Nutrition (affects health and life expectancy) Education (affects literacy rate ) SOME OTHER POSSIBLE FACTORS: 1. War 2. Infrastructure 3. Political instability 4. Environment/topography 73 o L I o I I iii , I 200 400 600 ! , , 800 Miles I I 400 800 Kilometers 74 Activity 2 † 1 V’ ~ cattle Coal Cocoa Coffee .. /Itt:; ?’ Diamonds FISh Gold . Grapes Iron Ore · c:::J e P8Irn Oil Peanuts RIce Sheep e .! i’t .0 a ~. ~ Com Cotton Copper Oat.. I 1 †¢ † ~ dfI Lumber Oil Other City IA , †¢ Tea Tobacco Identify each country based on shape and resources Note: Shapes are accurate but country size is not to scale Wheat Capital 75 Western Sahara Tunisia Sudan Libya · Morocco Egypt N. AFRICA Algeria 0. 25 9. 619 29. 49 . 5. 114 28. 778 68. 344 31. 471 173 Population mid ·2000 (millions) 2. 86 1. 58 2. 16 1. 69 2. 48 1. 98 2. 36 2 Natural Increase (annual %) 24 44 32 41 28 35 29 34 â€Å"Doubling Time† in years 150 35 69. 5 37 33. 3 52. 44 51 Infant Mortality Rate 0 B C B B B B Data Availability Code 61 N/A 27 54 86 44 49 46 Percent Urban 47 69 51 69 75 65 69 64 Life Expectancy at Birth, Total 35 N/A 43 34 40 37 39 38 Percent of Population of Age 15 2060 N/A 290 1240 1290 nla 1550 1200 GNP Per Capita, 1998 USD Population mid ·2000 (millions) Natural Increase (annual %) â€Å" Doubling Time† in years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USO Guinea Ghana Burk. Faso Cape Verele Cote d’lvoirE Gambia W. AFRICA Benin 19. 534 1. 05 15. 98 0. 401 11. 946 6. 396 234. 456 2. 4 2. 41 2. 19 2. 82 2. 94 2. 83 2. 8 29 29 32 25 24 24 25 56. 2 130 76. 9 112. 2 105. 3 93. 9 89 C C B B C B B 37 37 46 44 15 38 35 58 45 47 68 47 50 51 3 3 3 3 6 3 3 340 390 700 240 1200 380 340 7. 466 2. 38 29 98 ~ 26 45 3 530 N. AFRICA Population mid ·2000 (millions) Continued Natural Increase (annual %) â€Å"Doubling Time† in years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USO Nigeria Senegal Mali Mauritania Niger Liberia G. Bissau 10. 076 11. 234 2. 7 123. 338 3. 164 1. 213 2. 97 3. 23 3. 1 2. 72 2. 84 2. 22 25 23 21 22 24 31 123. 1 139. 1 122. 5 92 77. 2 130 C C C C C C C 45 26 54 17 22 36 50 53 54 41 45 52 4 4 3 2 4 3 410 200 160 N/A 250 300 ————— 9. 481 2. 79 25 67. 7 41 52 3 520 â€Å"†Ã¢â‚¬â„¢Ã¢â‚¬â€œÃ¢â‚¬ËœÃ¢â‚¬â€Ã¢â‚¬â€œ~-~~————————————– Congo, Oem. Equatorial Guinea Congo Cameroon Cen. Af. Rep Chad MID ·AFRICA Angola 0. 453 51. 965 2. 831 3. 513 7. 977 15. 422 Population mld ·2000 (millions) 96. 425 12. 878 2. 4S 2. 4 3. 19 3. 29 Natural Increase (annual %) 2. 58  ·2. 03 2. 96 3 28 29 22 21 â€Å"Doubling Time† in years 34 27 23 23 108. 108 108. 6 109. 8 Infant Mortality Rate 96. 7 125 77 106 C 0 C B C Data Availability Code C 0 41 29 37 Percent Urban 44 39 22 32 32 48 49 50 Life Expectancy at Birth, Total 48 55 45 47 49 43 48 43 Percent of Population of Age 15 44 43 44 46 48 GNP Per Capita, 1998 USD 680 110 610 300 230 1110 320 380 Namibia South Africa MID_AFRICA Gabon Sao Tome S. A FRICA Botswana Lesotho 2. 143 1. 771 Population mid ·2000 (millions) 0. 16 49. 915 1. 576 continued 1. 226 2. 07 1. 667 Natural Increase (annual %) 3. 4 1. 3 1. 55 2. 16 33 45 42 â€Å"Doubling Time† in years 20 52 32 84. 5 68. 3 57. 50. 8 51 Infant Mortality Rate 87 C B B Data Availability Code C C B Percent Urban 16 49 73 44 42 27 Life Expectancy at Birth, Total 53 64 54 44 46 52 Percent of Population of Age 15 47 41 35 41 44 39 GNP Per Capita, 1998 USD 270 570 4170 3100 3070 1940 I 43. 421 1. 27 55 45. 4 i 45 551 34 3310 (:: S. AFRICA  ·Populatlon mld ·2000 (millions) continued Natural Increase (annual %) â€Å"Doubling Time† in years Infant Mortality Rate Data Availability Code Percent- Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USD Swaziland 1. 004 1. 5 37 107. 7 C 22 38 47  ·1400 —- ——— N. AFRICA Population mid-2000 (millions) continued Natural Increase (annual %) â€Å"Doublin g Time† in years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USD Sierra Leone Togo E. AFRICA Burundi Comoros Djibouti Eritrea 5. 019 246. 235 0. 578 0. 638 5. 233 6. 054 2. 78 2. 64 3. 07 2. 4 2. 28 2. 49 23 25 26 29 28 30 79. 7 157 102 74. 8 77. 3 115 C C B 0 C C 31 37 20 29 8 83 49 45 46 59 48 47 . 48 3 45 42 3 41 370 N/A 140 3~0 140 4. 14~ 2. 9~ 2~ 1. S 1e 55 43 200 Population mid-2000 . (millions) Natural Increase (annual %) â€Å"Doubling Time† In years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USD E. AFRICA continued Madagascar Malawi Mauritus Mozambique Reunion Kenya Ethiopia 30. 34 14. 858 1. 189 19. 105 10. 385 64. 117 2. 105 2. 943 2. 19 2. 4 1. 91 ‘1. 05 33 29 24 36 66 32 73. 7 96. 3 126. 8 19. 4 133. 9 116 B C A B B C B 20 43 28 15 22 20 49 46 52 39 70 40 N/A 46 45 26 45 46 46 350 260 100 3730 210 210 N/A 0. 716 1. 1 49 9 73 30. ~ E. AFRICA Population mld-2000 (millions) continued Natural Increase (annual %) I†Doubling Time† in years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USD Seychelles Somalia Uganda Rwanda Tanzania Zambia Zimbabwe 0. 082 7. 229 7. 253 35. 306 23. 318 9. 582 2. 29 1. 07 2. 87 2. 86 2. 88 1. 96 65 30 24 24 24 35 120. 9 8. 5 125. 8 98. 8 81. 3 109 0 0 B C B B B 5 59 24 20 15 38 39 N/A 46 53 42 37 28 45 44 49 45 45 6420 N/A 230 220 310 330 11. 343 1 69 80 32 40 44 620 Career Guidance 2. compare geographic information and develop hypotheses about the economic development and standard of living in various countries. 3. examine geographic information to test hypotheses. 4. make inferences about other factors that influence the economic development/ standard of living of a country. Standards: 1,11,15,16 Skills: 1,2,4,5 Materials: Maps showing resources Map of Africa Chart showing per capita GNP Pictures to stimulate discussion Procedures: PREPARATION: 1. Label 10 x 13 size envelopes (3 per group) as follows: Group 1 Envelope A Group 1 Envelope B Group 1 Envelope C. Repeat for groups 2 – 7. 2. Copy the attached copy of the seven individual countries seven times and make a transparency of it. Cut out the seven map keys and one copy of each individual country. Attach one country and the map key to half a sheet of construction paper and laminate if possible. Place country A in Envelope A for Group 1, country B in Envelope A for Group 2, etc. 3. Make seven copies of a blackline map of Africa and seven copies of a chart showing per capita GNP figures for Africa. Mount the map and the chart on construction paper and also laminate, if possible. Place a copy of the map and the chart in Envelope B for each group. 4. Find pictures to represent the various factors to be discussed (as many as possible). You would need seven pictures to represent each factor (one for each group) or seven copies. Mount these on construction paper and laminate. Place pictures in Envelope C for each group. 71 GROUPS: Divide the class into groups (up to 7). QUESTION: Ask: When you hear the term standard of living, what does it mean to you? After the Discussion, which should include the definition of standard of living (see definitions), explain that the first factor that influences a country’s standard of living is the material wealth as evidenced by a country’s natural resources and agricultural products. BRAINSTORM: Distribute the 3 envelopes to each group but ask them not to open any of them until they are asked to do so. Tell them that Envelope A contains the map of an individual country and the map key. All names have been removed so that they will not be able to bring any prior knowledge to this activity. Have them open Envelope A and examine the map and the key. List the resources and products shown and then brainstorm about what can be done with those resources and products and how to obtain anything they need but don’t have. (approximately 5 minutes) MAKE COMPARISONS: Show transparencies of all seven countries. Let each group report. Write their finding on the transparency beside the appropriate country or on the chalkboard. HYPOTHESIZE: Based on the brainstorming, which country is wealthiest? Rate them from 1 to (varies). (Depends on number of groups used). Write the ratings on the transparency. INTRODUCE VOCABULARY: Explain that the reason you examined the resources and products of each country first is that a country’s resources and products influence the material wealth and therefore the economic development and standard of living of a country. One measure of a country’s standard of living is per capita GNP. Define per capita GNP. (See definitions) EXAMINE MAP AND CHART: Tell your groups to open Envelope B. Compare the map of Africa and identify the particular country they were working with. They should raise their hands and tell you so you can mark it on the transparency as soon as they find it. Then ask them to look up their country’s per capita GNP and add it to the information already on the transparency. Now check your hypotheses. How do the countries really rate? If all is well, you should have them rated incorrectly so you can point out that there are other factors that playa part. (See introduction. ) EXAMINE PICTURES: In Envelope C, which may be opened now, you will find pictures related to a country’s standard of living. Take about 2 minutes to identify the factor each picture represents. Put a list on the overhead and tell your groups that they are now going to draw some conclusions about these factors and how they influence a country’s standard of living. (If you made copies of pictures you may want to put the originals up in the room and/or make transparencies of them). 72 DRAW CONCLUSIONS: Have groups discuss and come to some conclusions about how each of the factors influence a country’s economic development/standard of living. Then ask about any other factors they can think of. See attached list as a hint but there may be others). VOCABULARY: Economic systems – the approach or technique that a country uses to deal with scarcity and achieve its economic goals. Standard of Living -ca measure of the amount of good and services an individual or group considers essential to well-being. GNP or gross national product – a measure of the value of all the good and services pro duced by a nation in a given time period, usually one year. Per capita GNP – GNP is divided by the population. The amount of money per person the people of a country or in a certain region earn. Life expectancy – the average number of years people can be expected to live. Literacy rate – the ratio of the number of people in a population who can read and write of the total number of persons in a population. Birth rate – the ratio of the number of live births during one year to the total population, expressed as the number of births per year per 1000 population. Death rate (mortality rate) – the ratio of the number of deaths during one year to the total population, expressed as the number of deaths per year per 1000 population. Infant mortality rate – the ratio consisting of the annual number of deaths of infants not over one year old to the total number of live births during that year. Infrastructure – the basic structure of services, installations, and facilities needed to support industrial, and other economic development; included are transport and communications, along with water, power, and other public utilities. Natural increase – the number of births in a country minus the number of deaths Population growth rate – natural increase plus migration into a country minus migration out ofa country. o FACTORS INTRODUCED IN PICTURES: . 2. 3. 4. 5. 6. Water (affects the economic and agricultural development) Sanitation (affects health and life expectancy) Health care (affects life expectancy, infant mortality rate, birth rate, death rate) Population growth (natural increase and population growth rate) Nutrition (affects health and life expectancy) Education (affects literacy rate ) SOME OTHER POSSIBLE FACTORS: 1. War 2. Infrastructure 3. Political instability 4. Environment/topography 73 o L I o I I iii , I 200 400 600 ! , , 800 Miles I I 400 800 Kilometers 74 Activity 2 † 1 V’ ~ cattle Coal Cocoa Coffee .. /Itt:; ?’ Diamonds FISh Gold . Grapes Iron Ore · c:::J e P8Irn Oil Peanuts RIce Sheep e .! i’t .0 a ~. ~ Com Cotton Copper Oat.. I 1 †¢ † ~ dfI Lumber Oil Other City IA , †¢ Tea Tobacco Identify each country based on shape and resources Note: Shapes are accurate but country size is not to scale Wheat Capital 75 Western Sahara Tunisia Sudan Libya · Morocco Egypt N. AFRICA Algeria 0. 25 9. 619 29. 49 . 5. 114 28. 778 68. 344 31. 471 173 Population mid ·2000 (millions) 2. 86 1. 58 2. 16 1. 69 2. 48 1. 98 2. 36 2 Natural Increase (annual %) 24 44 32 41 28 35 29 34 â€Å"Doubling Time† in years 150 35 69. 5 37 33. 3 52. 44 51 Infant Mortality Rate 0 B C B B B B Data Availability Code 61 N/A 27 54 86 44 49 46 Percent Urban 47 69 51 69 75 65 69 64 Life Expectancy at Birth, Total 35 N/A 43 34 40 37 39 38 Percent of Population of Age 15 2060 N/A 290 1240 1290 nla 1550 1200 GNP Per Capita, 1998 USD Population mid ·2000 (millions) Natural Increase (annual %) â€Å" Doubling Time† in years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USO Guinea Ghana Burk. Faso Cape Verele Cote d’lvoirE Gambia W. AFRICA Benin 19. 534 1. 05 15. 98 0. 401 11. 946 6. 396 234. 456 2. 4 2. 41 2. 19 2. 82 2. 94 2. 83 2. 8 29 29 32 25 24 24 25 56. 2 130 76. 9 112. 2 105. 3 93. 9 89 C C B B C B B 37 37 46 44 15 38 35 58 45 47 68 47 50 51 3 3 3 3 6 3 3 340 390 700 240 1200 380 340 7. 466 2. 38 29 98 ~ 26 45 3 530 N. AFRICA Population mid ·2000 (millions) Continued Natural Increase (annual %) â€Å"Doubling Time† in years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USO Nigeria Senegal Mali Mauritania Niger Liberia G. Bissau 10. 076 11. 234 2. 7 123. 338 3. 164 1. 213 2. 97 3. 23 3. 1 2. 72 2. 84 2. 22 25 23 21 22 24 31 123. 1 139. 1 122. 5 92 77. 2 130 C C C C C C C 45 26 54 17 22 36 50 53 54 41 45 52 4 4 3 2 4 3 410 200 160 N/A 250 300 ————— 9. 481 2. 79 25 67. 7 41 52 3 520 â€Å"†Ã¢â‚¬â„¢Ã¢â‚¬â€œÃ¢â‚¬ËœÃ¢â‚¬â€Ã¢â‚¬â€œ~-~~————————————– Congo, Oem. Equatorial Guinea Congo Cameroon Cen. Af. Rep Chad MID ·AFRICA Angola 0. 453 51. 965 2. 831 3. 513 7. 977 15. 422 Population mld ·2000 (millions) 96. 425 12. 878 2. 4S 2. 4 3. 19 3. 29 Natural Increase (annual %) 2. 58  ·2. 03 2. 96 3 28 29 22 21 â€Å"Doubling Time† in years 34 27 23 23 108. 108 108. 6 109. 8 Infant Mortality Rate 96. 7 125 77 106 C 0 C B C Data Availability Code C 0 41 29 37 Percent Urban 44 39 22 32 32 48 49 50 Life Expectancy at Birth, Total 48 55 45 47 49 43 48 43 Percent of Population of Age 15 44 43 44 46 48 GNP Per Capita, 1998 USD 680 110 610 300 230 1110 320 380 Namibia South Africa MID_AFRICA Gabon Sao Tome S. A FRICA Botswana Lesotho 2. 143 1. 771 Population mid ·2000 (millions) 0. 16 49. 915 1. 576 continued 1. 226 2. 07 1. 667 Natural Increase (annual %) 3. 4 1. 3 1. 55 2. 16 33 45 42 â€Å"Doubling Time† in years 20 52 32 84. 5 68. 3 57. 50. 8 51 Infant Mortality Rate 87 C B B Data Availability Code C C B Percent Urban 16 49 73 44 42 27 Life Expectancy at Birth, Total 53 64 54 44 46 52 Percent of Population of Age 15 47 41 35 41 44 39 GNP Per Capita, 1998 USD 270 570 4170 3100 3070 1940 I 43. 421 1. 27 55 45. 4 i 45 551 34 3310 (:: S. AFRICA  ·Populatlon mld ·2000 (millions) continued Natural Increase (annual %) â€Å"Doubling Time† in years Infant Mortality Rate Data Availability Code Percent- Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USD Swaziland 1. 004 1. 5 37 107. 7 C 22 38 47  ·1400 —- ——— N. AFRICA Population mid-2000 (millions) continued Natural Increase (annual %) â€Å"Doublin g Time† in years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USD Sierra Leone Togo E. AFRICA Burundi Comoros Djibouti Eritrea 5. 019 246. 235 0. 578 0. 638 5. 233 6. 054 2. 78 2. 64 3. 07 2. 4 2. 28 2. 49 23 25 26 29 28 30 79. 7 157 102 74. 8 77. 3 115 C C B 0 C C 31 37 20 29 8 83 49 45 46 59 48 47 . 48 3 45 42 3 41 370 N/A 140 3~0 140 4. 14~ 2. 9~ 2~ 1. S 1e 55 43 200 Population mid-2000 . (millions) Natural Increase (annual %) â€Å"Doubling Time† In years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USD E. AFRICA continued Madagascar Malawi Mauritus Mozambique Reunion Kenya Ethiopia 30. 34 14. 858 1. 189 19. 105 10. 385 64. 117 2. 105 2. 943 2. 19 2. 4 1. 91 ‘1. 05 33 29 24 36 66 32 73. 7 96. 3 126. 8 19. 4 133. 9 116 B C A B B C B 20 43 28 15 22 20 49 46 52 39 70 40 N/A 46 45 26 45 46 46 350 260 100 3730 210 210 N/A 0. 716 1. 1 49 9 73 30. ~ E. AFRICA Population mld-2000 (millions) continued Natural Increase (annual %) I†Doubling Time† in years Infant Mortality Rate Data Availability Code Percent Urban Life Expectancy at Birth, Total Percent of Population of Age 15 GNP Per Capita, 1998 USD Seychelles Somalia Uganda Rwanda Tanzania Zambia Zimbabwe 0. 082 7. 229 7. 253 35. 306 23. 318 9. 582 2. 29 1. 07 2. 87 2. 86 2. 88 1. 96 65 30 24 24 24 35 120. 9 8. 5 125. 8 98. 8 81. 3 109 0 0 B C B B B 5 59 24 20 15 38 39 N/A 46 53 42 37 28 45 44 49 45 45 6420 N/A 230 220 310 330 11. 343 1 69 80 32 40 44 620

Human Resource Management in Context Assignment

Human Resource Management in Context - Assignment Example 5). Key Developments in Human Resource Management – Hard and Soft Versions: The above-mentioned reason is enough to explain so many developments in Human Resource management in recent times. Human Resource Management can be differentiated between hard and soft versions. The followers of hard version treat their employees as one of the inputs in the business and try to utilize them in the best possible way to generate the most profit. For this, they try to reduce cost and try to focus on flexibility techniques. On the other hand, the followers of soft version of Human Resource Management believe employees to be the most precious asset of the organization and they apply different strategies to retain their employees and to make them happy (Armstrong, 2009, p. 5). It would be wrong to say as to which technique is the best. Companies choose a version on Human Resource Management depending upon its core values and company’s philosophies and design their HR strategy according ly. There are companies that apply a combination of both soft and hard versions of Human Resource Management. ... HR professionals would deal with the concerns of the employees as they arise from the employees’ side. However, the view of looking at an HR professional and the span of its roles and responsibilities have changed drastically over time. Now, HR professionals are seen in most organizations as business partners (Hunter, 2006, p. 6). The word â€Å"business† in Business Partners implies a strategic intervention. It refers to something that has to be implemented from the top i.e. designing the strategy. Besides, the term â€Å"partners† refers to working alongside, and at the same level with that of the top management (Charles and Fombrun, 1984 , p. 3). Now, HR professionals sit with the top management, help them, and advise them in designing a company’s strategy and that is where the role of strategic HRM comes into play (Charles and Fombrun, 1984 , p. 3). Once, a company’s strategy is designed then HR strategy is designed keeping in view companyâ€⠄¢s strategy. For example, if company’s business strategy is cost leadership so the culture in the organization would be such that would incentivise its employees on cost-cutting activities and the like (Kenton and Yarnall, 2009, p. 2). This is why, when today one talks about HR professionals, he talks about someone who is working hand in hand with the company in order to implement its strategy from top to bottom, and is thus playing a role of a Business Partner of that company. External Contexts of HRM: Today’s HR professional has to be aware about the key developments in the business or in business’ strategy. Moreover, he also has to be aware about the external context in which the business operates. By external context, we mean a company’s macro environment. This includes socio-cultural,

Naturalism Essay Example | Topics and Well Written Essays - 1250 words

Naturalism - Essay Example From the report it is clear the major theme in the literature of naturalism is that people are destined to any kind of life that the environment, inheritance and social circumstances have prepared for them. Another element that was recurring was the power of emotions which are primitive so as to negate human being’s reasoning. Naturalism takes the world the way it is, for good or sickness. As the study declares a novel for literature is often distinguished by the characteristics and life experiences of the people in the novel. Ironweed is a novel discussing the life of people who were homeless in the city of Albany, discussing about their lives under poverty and depression. The novel basically discusses one major protagonist who is known as Francis. He lived a troubled life full of violence but he longed for the day he will understand himself and change his life. The novel Ironweed is a literature novel which was written by William Kennedy. The setting of the book was during the era of the great depression. The novel talks of a man by the name Francis Phelan who was a drug addict and ended up killing his own son, though it was accidental. He also killed other people who had wronged him since he was filled with anger and could act with violence when a person does something wrong to him. Francis is the main character since the novel talks about his life as an alcohol add ict and the consequences that followed him.

Hemingway and Cezanne - Sharing a Vision Research Paper

Hemingway and Cezanne - Sharing a Vision - Research Paper Example In particular, the unique connection between Ernest Hemingway and Paul Cezanne is manifested through their inclination to the simplicity of presentation and complexity of inner meaning. Even a person who opens any book written by Hemingway for the first time feels that it will be a completely new and unique experience. Having read at least one page of any of his masterpieces, one understands what the matter is. In the heart of the writer's uniqueness and unusualness, which may seem to be even strangeness for some people, is his writing style. Hemingways technique is really simple, and it is this simplicity that stands out in all his works. This technique was developed by the author during his career as a journalist. In accordance with Wainwright, simplicity, and clarity of his writing style is manifested through plain grammar, austere word choice, accessible and understandable language, and unembellished description. Perhaps, a perfect word that describes Hemingways writing style is â€Å"clean† for, in his pieces, he uses simple and rhythmic sentences focused mostly on the representation of bold actions rather than vast descriptions. The simplicity of Ernest Hemingways writing style is also in the way he presents information to the reader. In this case, it is necessary to mention the so-called â€Å"iceberg principle† utilized by the writer in all his works. He does tell much about or even does not tell at all about what a particular character feels and/or thoughts. He omits such delicate things, presents readers with mere facts and actions and makes them figure out what he implies. He does it in such a masterful way that the audience grasps the hidden meaning as if the writer stated it directly. The way Paul Cezanne created his masterpieces is regarded as a unique case in the history of art.  

Memo writing Essay Example | Topics and Well Written Essays - 500 words

Memo writing - Essay Example r is that Social Security has been viewed by both parties and many different congresses as a means to rapidly provide a level of funding to any number of pet projects or current goals that exist. Naturally, such a practice has been short sighted to say the least. The end result has been that due to the fact that such a high level of borrowing from the fund has taken place, no project or governmental action is necessarily better off. The level of intra-governmental debt has remained the same. Moreover, the worst part of this type of borrowing is the fact that due to the way in which the laws that govern the use and utilization of Social Security â€Å"surplus† has meant that no meaningful level of surplus has been allowed to accrue. With respect to the way that Social Security surplus funds are allocated and distributed, the government considers a surplus as anything over current liabilities. A secondary means by which the government could and should seek to provide extra resources to the Social Security Fund is to increase withholding taxes on paychecks. Although raising taxes is never a popular choice among candidates that are seeking popularity with their constituents, the fact of the matter is that it is mathematically proven that the fund itself cannot continue to survive unless it receives an influx of new cash; whether as a function of increased government debt or by increased tax burdens upon those individuals who will one day rely upon it. In this way, the reader can quickly see that there remain two options for keeping the current fund afloat past 2033; taxation or an increase in government debt.1 Due to the fact that government debt already surpasses 15 trillion US dollars, it is not advisable that the government should assume that it will continue to have the capacity or the option to borrow the funding necessary to provide Social Security past the time in wh ich it will become insolvent. As one is fully aware, the benefits of Social Security are

Winshield Survey Summary And Relection Essay Example | Topics and Well Written Essays - 250 words

Winshield Survey Summary And Relection - Essay Example In this way, community partnerships arise in the form of the community members working together with the various health providers in their within for the easier facilitation of betterment of community health (Rohrer, 2010). Participating family’s community and environment (Riverside, Ca) is a superb initiative in the way it eases healthcare awareness and outreach to all community members in the region leading to a healthier community. It is an aspect I would recommend adoption of in every community. Cultural diversity and vulnerable populations within the communities mostly have a sense of alienation both by others and by themselves. Due to this health care providence and services are not as effective in reaching them as the other community members. This may lead to weaker communities thus advocating for outreach programs in their target. There are various aspects of the community that could affect resident health. These range from internal and external conflicts, adverse cultural beliefs and practices that demine conventional health care, cultural diversities leading to segregation of population groups, and population demographics such as overpopulation among others (Rohrer, 2010). This has effect in various ways such as inaccessibility to health facilities and straining on their workload capacities. There are various Healthy People 2020 LHI such as low mortality rates in the community (Rohrer, 2010). This is as a result of reduced health related deaths due to good health care standards. This will lead to a healthier and improved working population. This will enable for development to