AaBbC AaBbCc HAD AaBbCc.U abe x, x' A-三T List Para...I NormalT No Spaci... Heading 1Heading 2TitleSubtitleFontParagraphStylesTable 1. Mid-year population and number of deaths by age and gender in a country in a certainyearAge groupMalesFemalesMid-year population124561 (live births)Number of deathsMid-year population123018 (live births)Number of deaths0-1188717561-414224611678138087613295-14306213214982968823102015-24243056729102319436143725-44410198797464023984594345-6427553453712827547321865465+1045258208111431251923a) Age specific death rates for the age groups 1-4 to 65+ for: a) total, b) male, and c) femaleand present the results by line diagram. Comnment on your results

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Description: AaBbC AaBbCc HAD AaBbCc.U abe x, x' A-三T List Para...I NormalT No Spaci... Heading 1Heading 2TitleSubtitleFontParagraphStylesTable 1. Mid-year population and number of deaths by age and gender in a country in a certainyearAge groupMalesFemalesMid-ye

The age specific death rates for the specific age groups is the ratio of number of deaths which…

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Table 1. Mid-year population and number of deaths by age and gender in a country in a certain year Age group Males Females Mid-year population 124561 (live births) Mid-year population 123018 (live births) Number of deaths Number of deaths 0-1 1887 1756 1-4 1422461 1678 1380876 1329 5-14 3062132 1498 2968823 1020 15-24 2430567 2910 2319436 1437 25-44 4101987 9746 4023984 5943 45-64 2755345 37128 2754732 18654 65+ 1045258 2081 1143125 1923 a) Age specific death rates for the age groups 1-4 to 65+ for : a) total, b) male, and c) female and present the results by line diagram. Comment on your results

Table 1. Mid-year population and number of deaths by age and gender in a country in a certain year Age group Males Females Mid-year population 124561 (live births) Mid-year population 123018 (live births) Number of deaths Number of deaths 0-1 1887 1756 1-4 1422461 1678 1380876 1329 5-14 3062132 1498 2968823 1020 15-24 2430567 2910 2319436 1437 25-44 4101987 9746 4023984 5943 45-64 2755345 37128 2754732 18654 65+ 1045258 2081 1143125 1923 a) Age specific death rates for the age groups 1-4 to 65+ for : a) total, b) male, and c) female and present the results by line diagram. Comment on your results

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…
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Year Population 1790 3,929,214 1800 5,308,483 1810 7,239,881 1820 9,638,453 1830 12,866,020 1840 17,069,453 1850 23,191,876 1860 31,443,321 1870 39,818,449 1880 50,155,783 1890 62,947,714 1900 75,994,575 1910 91,972,266 1920 105,710,620 1930 122,775,046 1940 131,669,275 1950 150,697,361 1960 179,323,175 1970 203,302,031 1980 226,545,805 1990 248,709,873 2000 281,421,906 2010 308,745,538 Use excel to calculate the Least Squares Regression Line for the census data? (need to include correct values for a and b) Using the line, you calculated in number 5, what would you predict the population to have been in 1985? EXPLAIN. Should you use the previously calculated Regression Line to predict population in the year 2200? EXPLAIN.
Student ID Math Score Project Score Age (years) Sex 001254 52 75 15 M 003256 78 89 15 F 001547 92 82 18 F 012589 91 66 17 M 021475 72 93 14 M 032658 46 76 13 M 009561 68 76 14 F 008654 52 82 12 F 008561 83 75 16 M 003547 45 78 14 F 047452 73 96 14 M 041212 64 79 13 F 032320 41 67 13 F 000258 77 72 15 F 001478 82 75 17 M 019521 59 83 15 M 017451 80 71 17 F 016335 48 76 13 M 002474 57 80 14 F 095844 97 71 18 F 097304 86 86 17 M 090024 75 85 15 F 034702 81 80 16 F 001910 67 74 14 F 006454 86 77 17 M 087478 63 82 13 M 078474 68 79 14 F 000977 54 89 12 M 063010 91 73 18 M 007406 46 77 15 F 025740 93 85 17 M…