REGION NCR NATIONAL CAPITAL REGION CAR CORDILLERA ADMINISTRATIVE REGION I ILOCOS REGION II CAGAYAN VALLEY III CENTRAL LUZON IVA CALABARZON IV B MIMAROPA V BICOL REGION VIII EASTERN VISAYAS VI WESTERN VISAYAS NEW CASES 618 176 49 45 101 160 4 11 30 93
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- New Cases New Recoveries New Deaths Bulletin Number Jan 1 1765 106 4 293 Jan 2 1097 47 5 294 Jan 3 891 8316 4 295 Jan 4 959 26 6 296 Jan 5 937 114 58 297 Jan 6 1047 339 26 298 Jan 7 1353 360 9 299 Jan 8 1776 285 8 300 Jan 9 1952 291 34 301 Jan 10 1906 8592 8 302 Jan 11 2052 10 11 303 Jan 12 1524 44 139 304 Jan 13 1453 397 146 305 Jan 14 1912 746 40 306 Jan 15 2048 551 137 307 Jan 16 2058 406 8 308 Jan 17 1895 5868 11 309 Jan 18 2163 2 14 310 Jan 19 1357 324 69 311 Jan 20 1862 765 64 312 Jan 21 1783 500 74 313 Jan 22 2178 250 20 314 Jan 23 1797 166 54 315 Jan 24 1949 7729 53 316 Jan 25 1581 13 50 317 Jan 26 1173 18 94 318 Jan 27 2245 140 95 319 Jan 28 1169 60 71 320 Jan 29 1849 177 48 321 Jan 30 2109 146 71 322 Jan 31 2103 11653 80 323 Feb 1 1658 27 58 324 Feb 2 1583 39 67 325 Feb 3 1266 130 68 326 Feb 4 1590 249 55 327 Feb 5 1894 397 61 328 Feb 6 1941 234 52 329 Feb 7 1790 11388 70 330 Feb 8 1690 23 52 331 Feb 9 1235 53 65 332 Feb 10 1345 276…PercentUnder 21 Fatal Accidentsper 1000 13 2.962 12 0.708 8 0.885 12 1.652 11 2.091 17 2.627 18 3.83 8 0.368 13 1.142 8 0.645 9 1.028 16 2.801 12 1.405 9 1.433 10 0.039 9 0.338 11 1.849 12 2.246 14 2.855 14 2.352 11 1.294 17 4.1 8 2.19 16 3.623 15 2.623 9 0.835 8 0.82 14 2.89 8 1.267 15 3.224 10 1.014 10 0.493 14 1.443 18 3.614 10 1.926 14 1.643 16 2.943 12 1.913 15 2.814 13 2.634 9 0.926 17 3.256 D. Give a 95% interval estimate of the number of fatal accidents per 1000 licenses ina city where 15% of the licensed drivers are under 21What I Can DoCOVID -19 RecoveriesThe ongoing pandemic of corona virus disease 2019, a novel infectious disease causedby severe acute respiratory syndrome was spread in the Philippines onJanuary 30, 2020. Thousands of people in the country tested positive in this virus, and some ofthem recovered from the disease. The following table shows the number of recoveries from April24-May 3, 2020DateApril 24April 25April 26April 27April 28April 29April 30May 1May 2May 3Number of Recoveries X40307070434820414090a. Illustrate the probability distribution if X is the random variable that represents the number ofrecoveries.b. What safety precautions will you undertake to help avoid the spread of the COVID-19ppandemica
- ANSUR II 2012 ANSUR I 1988 91.0 100.3100.8 70.988.1 72.786.4 103.790.6 66.5103.3 74.998.2 64.997.0 78.869.7 62.178.7 85.271.5 74.588.9 89.085.686.6109.9Type A Type B Type C 6.1 6.7 6.1 6.2 5.5 5.4 5.8 5.5 5.6 6.6 5.4 5.7 5.6 6.1 5.9 5.8 6.9 6.8 5.4 7.4 6.2 6.9 5.9 6.7 5.5 6.4 5.7In August and September 2005, Hurricanes Katrina and Rita caused extraordinary flooding in New Orleans, Louisiana. Many homes were severely damaged or destroyed; of those that survived, many required extensive cleaning. It was thought that cleaning flood-damaged homes might present a health hazard due to the large amounts of mold present in many of the homes. The article “Health Effects of Exposure to Water-Damaged New Orleans Homes Six Months After Hurricanes Katrina and Rita” (K. Cummings, J. Cox-Ganser, et al., American Journal of Public Health, 2008:869–875) reports that in a sample of 365 residents of Orleans Parish who had participated in the cleaning of one or more homes, 77 had experienced symptoms of wheezing, and in a sample of 179 residents who had not participated in cleaning, 23 reported wheezing symptoms (numbers read from a graph). Can you conclude that the frequency of wheezing symptoms is greater among those residents who participated in the cleaning of flood-damaged…
- İts partial diffirential class's questionRespondent Household head SEX AGE Hours worked per week Main type of work Length of time at job Years of secondary schooling Examination passed Employment Status Income 1 1 2 27 16 5 7 5 1 6 78000 2 2 1 24 40 5 5 3 99 3 78000 3 2 2 26 60 5 6 5 1 3 129996 4 2 1 46 40 4 7 5 1 3 78000 5 1 2 31 40 8 7 3 1 3 129996 6 1 1 48 24 4 7 3 1 3 46800 7 2 1 19 45 5 5 3 1 3 78000 8 1 2 63 16 6 7 3 1 6 46800 9 2 1 26 40 9 7 4 9 3 78000 10 1 2 38 40 7 2 5 1 6 360000 11 1 1 48 24 4 7 3 1 3 46800 12 2 1 19 45 5 5 3 1 3 78000 13 1 2 63 16 6 7 3 1 6 46800 14 2 1 26 40 9 7 4 9 3 78000 15 1 2 38 40 7 2 5 1 6 360000 16 2 1 19 40 4 4 5 3 3 78000 17 1 1 37 45 5 7 3 9 6 779948 18 2 1 40 40 9 7 4 9 3 78000 19 2 1 40 60 5 5 3 1 3 78000 20 1 1 28 40 2 5 5 8 3 389988 21 1 2 50 40 2 7 5 8 3 1289988 22 1 2 51 72 8 7 5 1 3 200988 23 1 1 23 40 5 6 5 9 3 78000 24 1 1 45 40 2 7 5 8 3 1289988 25 2 1 32 40 5 7 5 1 6 207948 26 1 1 39 40 3 7 5 8 1 1249999 27 2 2 55…Respondent Household head SEX AGE Hours worked per week Main type of work Length of time at job Years of secondary schooling Examination passed Employment Status Income 1 1 2 27 16 5 7 5 1 6 78000 2 2 1 24 40 5 5 3 99 3 78000 3 2 2 26 60 5 6 5 1 3 129996 4 2 1 46 40 4 7 5 1 3 78000 5 1 2 31 40 8 7 3 1 3 129996 6 1 1 48 24 4 7 3 1 3 46800 7 2 1 19 45 5 5 3 1 3 78000 8 1 2 63 16 6 7 3 1 6 46800 9 2 1 26 40 9 7 4 9 3 78000 10 1 2 38 40 7 2 5 1 6 360000 11 1 1 48 24 4 7 3 1 3 46800 12 2 1 19 45 5 5 3 1 3 78000 13 1 2 63 16 6 7 3 1 6 46800 14 2 1 26 40 9 7 4 9 3 78000 15 1 2 38 40 7 2 5 1 6 360000 16 2 1 19 40 4 4 5 3 3 78000 17 1 1 37 45 5 7 3 9 6 779948 18 2 1 40 40 9 7 4 9 3 78000 19 2 1 40 60 5 5 3 1 3 78000 20 1 1 28 40 2 5 5 8 3 389988 21 1 2 50 40 2 7 5 8 3 1289988 22 1 2 51 72 8 7 5 1 3 200988 23 1 1 23 40 5 6 5 9 3 78000 24 1 1 45 40 2 7 5 8 3 1289988 25 2 1 32 40 5 7 5 1 6…
- Marital StatusHispanic Non-Hispanic TotalCurrently Married319738 1057Divorced or Separated130329 459Widowed88402 490Never Married or Living Asan Unmarried Couple4195 136Total5781564 2142Source: Steven S. Coughlin, Robert J. Uhler, Thomas Richards, and KatherineM. Wilson, “Breast and Cervical Cancer Screening Practices Among Hispanicand Non-Hispanic Women Residing Near the United States–Mexico Border,1999–2000,” Family and Community Health, 26 (2003), 130–139.(a) We select at random a subject who had a mammogram. What is the probability that she isdivorced or separated?(b) We select at random a subject who had a mammogram and learn that she is Hispanic. With thatinformation, what is the probability that she is married?(c) We select at random a subject who had a mammogram. What is the probability that she is nonHispanic and divorced or separated?(d) We select at random a subject who had a mammogram. What is the probability that she isHispanic or she is widowed?(e) We select at random a…WAGE EDUC EXPER AGE GENDER RACE 1345 6 2 38 0 1 2435 4 18 52 1 1 1715 6 4 45 1 1 1461 6 4 58 1 1 1639 9 3 30 1 0 1345 5 8 43 0 1 1602 7 6 30 0 1 1144 4 3 33 0 0 1566 6 23 51 1 0 1496 4 15 37 1 1 1234 4 9 45 0 0 1345 6 3 55 0 1 1345 5 14 57 0 1 3389 9 16 36 1 1 1839 4 20 60 1 1 981 4 5 35 1 0 1345 9 10 34 0 1 1566 5 4 28 0 0 1187 6 1 25 0 1 1345 7 10 43 0 1 1345 9 2 42 0 1 2167 4 17 47 1 0 1402 11 2 46 1 1 2115 4 15 52 1 0 2218 8 11 64 1 1 3575 11 1 39 1 1 1972 4 1 39 1 1 1234 4 2 40 0 1 1926 5 9 53 1 0 2165 6 15 59 0 1 2365 6 12 35 0 0 1345 9 5 45 0 1 1839 4 14 37 0 0 2613 5 14 37 1 1 2533 11 3 43 1 1 1602 8 5 32 0 1 1839 9 18 40 0 1 2218 7 1 49 1 1 1529 4 10 43 0 0 1461 1 10 31 1 0 3307 9 22 45 1 1 3833 11 3 31 1 1 1839 4 14 55 1 0 1461 6 5 30 0 1 1433 9 3 28 1 0 2115 6 15 60 0 0 1839 4 13 32 1 0 1288 4 9 58 1 0 1288 6 4 29 0 0Hurricane damage: In August and September 2005 , Hurricanes Katrina and Rita caused extraordinary flooding in New Orleans, Louisiana. Many homes were severely damaged or destroyed, and of those that survived, many required extensive cleaning. It was thought that cleaning flood-damaged homes might present a health hazard due to the large amounts of mold present in many of the homes. In a sample of 370 residents of Orleans Parish who had participated in the cleaning of one or more homes, 65 had experienced symptoms of wheezing, and in a sample of 173 residents who had not participated in the cleaning, 22 reported wheezing symptoms (numbers read from a graph). Can you conclude that the proportion of residents with wheezing symptoms is greater among those who participated in the cleaning of flood-damaged homes? Let p1 denote the proportion of residents with wheezing symptoms who had cleaned flood-damaged homes and p2 denote the proportion of residents with wheezing symptoms…
