Document 3: Evidence Given Before the Sadler Committee, Parliamentary Papers, 1831- 1932
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- Use the following table for questions 6-8: U.S. Mortality, 2002-2006 Population All Causes Malignant Cancers Accidents Suicide Homicide 0-4 1,619,647 5,354 38 415 0 148 5-14 3,454,723 998 106 400 29 88 15-24 3,111,073 5,364 140 1,300 351 3,000 25-34 2,586,870 6,848 290 1,310 447 2,100 35-44 2,718,213 11,849 1,172 1,600 354 1,000 45-54 2,145,421 21,000 4,200 1,500 219 600 55-64 1,174,312 24,000 7,000 800 99 200 65-74 700,169 28,000 9,000 539 68 75 75-84 348,221 28,478 8,000 452 48 48 85+ 92,967 14,584 2,776 243 18 6 Source: National Center for Health Statistics Calculate the YPLL due to homicides for ages 25-34. Use 75 as the reference age.Data on the gasoline tax per gallon (in cents) as of a certain date for the 50 U.S. states and the District of Columbia are shown below. Gasoline Tax per Gallon Gasoline Tax per Gallon State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi 50 40 30 USE SALT 20 19.1 10- 9.1 19.1 21.9 37.1 23.4 25.1 22.9 23.6 30.7 26.6 18.4 32.9 33.2 29.1 31.9 25.1 25.9 21.0 31.3 32.9 26.6 (b) Construct a boxplot of the data set. 60 30.8 30.5 18.5 60 50 40 State 30 Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont irginia Washington West Virginia Wisconsin Wyoming 60 50 40 30 20 17.4 10 27.7 27.8 23.9 23.7 14.7 18.8 33.9 35.2 23.1 27.9 (a) The smallest value in the…answer the following Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
- Use the following information in TABLE 1 on five college professors to answer the following 5 questions. Name Specialty Sex Age Rank Able Economics M 40 Associate Professor Roth Management F 41 Full Professor Martin Marketing M 52 Associate Professor Brock Finance F 30 Assistant Professor Young Accounting F 35 Assistant Professor 1. Based on Table 1, which is quantitative variable? (This is a multiple choice question. Select the one correct answer.) Group of answer choices Specialty Age Sex Rank 2. Based on Table 1, what scale of measurement is used for Rank? Group of answer choices Nominal Ratio Ordinal IntervalHospital Births Personnel 1 312 792 2 1077 1762 3 1027 2310 4 355 328 5 168 181 6 3810 1077 7 735 742 8 1 131 9 1733 1594 10 257 233 11 169 241 12 430 203 13 0 325 14 2049 676 15 211 347 16 16 79 17 2648 505 18 2450 1543 19 1465 755 20 0 959 21 1993 325 22 2275 954 23 1494 1091 24 1313 671 25 451 300 26 1689 753 27 1583 607 28 2017 929 29 995 354 30 2045 408 31 1686 1251 32 503 386 33 126 144 34 2026 2047 35 1412 1343 36 1517 1723 37 0 96 38 0 529 39 2719 3694 40 1074 1042 41 1421 1071 42 762 1525 43 3194 1983 44 496 670 45 1442 1653 46 0 167 47 1107 793 48 2989 841 49 113 316 50 0 93 51 0 373 52 173 263 53 1064 943 54 759 605 55 1317 596 56 1751 1165 57 0 568 58 0 507 59 714 479 60 99 136 61 2243 1456 62 3966 3486 63 1308 885 64 0 243 65 2514 1001 66 3714 3301 67 126 337 68 556 1193 69 1327 1161 70 415 322 71 216 185 72 339 205 73 1217 1224…3. A mathematics placement test is given to all entering freshmen at a small college. A student who receives a grade below 35 is denied admission to the regular mathematics course and placed in a remedial class. The placement test scores and the final grades for 20 students who took the regular course were recorded as follows: Placement Test Course Grade | Placement Test | Course Grade 50 53 90 54 35 35 41 80 60 91 61 48 40 56 60 71 55 68 60 71 65 36 40 47 35 11 55 53 60 70 50 68 90 79 65 57 35 59 50 79 (a) Plot a scatter diagram. (b) Find the equation of the regression line to predict course grades from placement test scores. (c) Graph the line on the scatter diagram (d) If 60 is the minimum passing grade, below which placement test score should students in the future be denied admission to this course?
- I. The data related to the number of cars sold in different dealers in the United States in a week (sample) are presented below. Round the final results to two decimal places when necessary. 175 212 226 192 179 191 141 123 320 191 314 324 135 195 216 232 299 171 Calculate| 4) Half Range 5) Q1 6) Q3 7) P83The gross requirements for Item X are specified for the beginning of weeks 1 through 8 in the table that follows. The product structure for the item is given in the figure: The lead time of each item is specified within square brackets. For example, the lead time for Item X is 1 week. The number of units required for each lower level part is specified within parentheses. For example, each unit of Item B requires 1 unit of Part C and 2 units of Part D. Product Structure for Item X Level 0 + Level 1 + 4 Level 2 + Level 3 + C (1) [LT 1] H (1) [LT 1] K (1) [LT 3] B (1) [LT 1] Gross Requirement On-hand Inventory Planned Order Release D (2) [LT 2] M (2) [LT 1] X [LT 1] Z (2) [LT 1] N (1) [LT 1] What is planned order release for Item H in Week 3? 310 Specify the number of units. C (4) [LT 1] Item X Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 0 0 0 0 0 55 90 55 What is planned order release for Item H in Week 4? 415 Specify the number of units. H (1) [LT 1] There are no units in…The information is as follows: Month, Cases of Lyme Disease, Drowning Deaths: Month: January, February, March, April, May, June, July, August, September, October, November, December Cases of Lyme Disease: 3, 2, 2, 4, 5, 12, 22, 13, 6, 5, 4, 1 Drowning Deaths: 0, 1, 2, 1, 2, 9, 15, 5, 6, 3, 3, 1, 0 a) Compute the correlation coefficient for the data. b) Is there a significant linear relationship? c) Do you believe an increase in Lyme disease causes an increase in the number of drownings? d) A “lurking variable” is a variable that influences both of the variables (cases of Lyme disease and number of drownings) in a linear correlation study that is unknown or not accounted for in the study. Name one possible lurking variable that might cause the number of Lyme disease cases and drownings to be correlated.
