628 SAFMEDS Week 2 Assignment

Raw Data:  {3.5,2.7,1.6,2.9,1.7,5.3,7.5,8.2,4.6,1.3,4.7,9.4,7.6,3.9,3.2,8.1,4.9,5.7,2.6,3.2,6.5,4.8,3.5,4.8,9.2,4.9,1.1,2,6.4,7.1}{3.5,2.7,1.6,2.9,1.7,5.3,7.5,8.2,4.6,1.3,4.7,9.4,7.6,3.9,3.2,8.1,4.9,5.7,2.6,3.2,6.5,4.8,3.5,4.8,9.2,4.9,1.1,2,6.4,7.1} The gap between the first and second class is 0.1. What number should you subtract from each lower limit and add to each upper limit to find the class boundaries? 0.12=0.12=Answer Class Lower Class Boundary  Upper Class Boundary 1.1−2.71.1−2.7 1.1−0.05=1.051.1−0.05=1.05 2.7+0.05=2.752.7+0.05=2.75 2.8−4.42.8−4.4 2.8−0.05=2.8−0.05= Answer 4.4+0.05=4.454.4+0.05=4.45 4.5−6.14.5−6.1 Answer −0.05=4.45−0.05=4.45 6.1+0.05=6.156.1+0.05=6.15 6.2−7.86.2−7.8 6.2−6.2− Answer =6.15=6.15 7.8+0.05=7.8+0.05= Answer 7.9−9.57.9−9.5 Answer Answer Answer =7.85=7.85 Answer +0.05=9.55+0.05=9.55

Building Year of sale 1 2005 1 2005 2 2007 2007 2004 2007 2007 2008 2008 2008 ID Property # Area (ft.) Price 1030 11 Apartment 30 743.09 $ 246,172.68 1029 10 Apartment 29 756.21 $ 246,331.90 2002 7 Apartment 2 587.28 $ 209,280.91 2031 12 Apartment 31 1604.75 $ 452,667.01 1049 11 Apartment 49 1375.45 $ 467,083.31 3011 9 Apartment 11 675.19 $ 203,491.85 3026 9 Apartment 670.89 $ 212,520.83 3023 1 Apartment 720.81 $ 198,591.85 1031 6 Apartment $ 265,467.68 782.25 794.52 4023 3 Apartment $ 235,633.26 Customer Entity Name Surname Interval Gender Country State ID C0028 Individual Madalyn Mercer 19 18-25 F USA California Home C0027 Individual Lara Carrillo 22 18-25 F USA California Home C0112 Individual Donavan Flowers 22 18-25 M USA California Home C0160 Individual Darien Dorsey 22 18-25 M USA California Investment C0014 Individual Alessandra Perry 25 18-25 F USA California Home C0125 Individual Kaitlin Owen 26 26-35 F USA Virginia Investment C0125 Individual Kaitlin Owen 26 26-35 F USA…

9th Grade            10th grade           11th grade                  12th grade     6                            10                         17                                15     9                            12                         8                                  16     6                            11                         11                                12     7                            11                         14                                12     7                            14                         15                                12   Calculate mean square between groups

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The Centers for Disease Control and Prevention Office on Smoking and Health (OSH) is the lead federal agency responsible for comprehensive tobacco prevention and control. OSH was established in 1965 to reduce the death and disease caused by tobacco use and exposure to secondhand smoke. One of the many responsibilities of the OSH is to collect data on tobacco use. The following data show the percentage of U.S. adults who were users of tobacco for a recent 11-year period (http://www.cdc.gov/tobacco/data_statistics/tables/trends/cig_smoking/index.htm).   Year Percentage of Adults Who Smoke 1 22.7 2 21.2 3 21.1 4 20.5 5 20.5 6 20.1 7 19.4 8 20.7 9 20.7 10 19.3 11 18.6

The Centers for Disease Control and Prevention Office on Smoking and Health (OSH) is the lead federal agency responsible for comprehensive tobacco prevention and control. OSH was established in 1965 to reduce the death and disease caused by tobacco use and exposure to secondhand smoke. One of the many responsibilities of the OSH is to collect data on tobacco use. The following data show the percentage of U.S. adults who were users of tobacco for a recent 11-year period (http://www.cdc.gov/tobacco/data_statistics/tables/trends/cig_smoking/index.htm). Year Percentage of Adults Who Smoke 1 23 2 21.6 3 20.9 4 20.2 5 20.2 6 19 7 19.3 8 20.4 9 20.4 10 19.5 11 18.9 Based on the above information: Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. Do not round your interim computations and round your final answers to three decimal places. For subtractive…

2) The projected number of navigation systems (in millions) installed in vehicles in North America, Europe and Japan from 2012 to 2016 are shown in the following table Year 2012 2013 2014 2015 2016 Systems Installed 3.9 4.7 5.8 6.8 7.8 a) Draw a scatter diagram for this data. Use “Years since 2012” on the x-axis. Make sure the scatter diagram includes all required elements (axes labels, title, and appropriate scale)b) Use the points for 2013 and 2015 to find an equation of a line modeling this situationc) Use linear regression to find an equation of a line modeling this situationd) Use the equation in b to predict number of systems sold in 2018 and do this again for the equation in part c. What is the absolute and percentage difference between the two equations (use the equation in c as the base equation in the % calculation)e) Now use extrapolation using the last two data points to make a prediction for 2018f) Which method, in your opinion, is optimal to use in this case

2.30 Gross domestic product. The Economy is an annual publication by the Government of Newfoundland and Labrador (https://www.gov.nl.ca/) on the region's eco- nomic performance. From data provided by Statistics Canada Department of Finance, The Economy 2020 reported the estimated Gross Domestic Product (GDP) (in $ millions) in 2018 for the following 12 indus- tries: the services producing sector, wholesale trade, retail trade, transportation and warehousing, finance, insurance, real estate & business support services, pro- fessional, scientific, & technical services, educational services, health care & social assistance, information, culture & recreation, accommodation & food services, public administration, and other services. The data is listed in the accompanying table. In this data, GDP is expressed at basic prices, measuring payments made to the owners of factor inputs in production. This differs from GDP at market prices. The difference is attribut- able to taxes less subsidies…

AS1. NO1 DATA ANALYSIS

(Feb 21—27) Projected Actual Difference Food Cost $6,971 $7,842 +$871 (over) Beverage Cost $3,954 $4, 156 +$202 (over) Labor Cost $8,423 $9,541 +$1,118 (over) Other Costs $7,645 $7,645 $0 (even) Total Costs $26,993 $29, 184 +$2191 (over) Food Sales $18,565 $14,326 -$4,239 (under) Beverage Sales $12,872 $10,852 -$2,020 (under) Total Sales (Revenue) $31,437 $25,178 -$6,259 (under) Total Profit $4,444 -$4,006 -$8,450 (under) Based on the actual results, what adjustments need to be made to Food and Beverage sales projections for next week? a. Projections for next week should be set the same as this week, so we can strive to reach our goals. b. Projections for next week should be increased because we exceeded our projections this week c. Because this week's actual profit (-$4006) came in below our projected profit ($4444), we should reduce next week's Food and Beverage sales…

The table below contains real data for the first two decades of AIDS reporting. Year # AIDS cases diagnosed # AIDS deaths Pre-1981 91 29 1981 319 121 1982 1,170 453 1983 3,076 1,482 1984 6,240 3,466 1985 11,776 6,878 1986 19,032 11,987 1987 28,564 16,162 1988 35,447 20,868 1989 42,674 27,591 1990 48,634 31,335 1991 59,660 36,560 1992 78,530 41,055 1993 78,834 44,730 1994 71,874 49,095 1995 68,505 49,456 1996 59,347 38,510 1997 47,149 20,736 1998 38,393 19,005 1999 25,174 18,454 2000 25,522 17,347 2001 25,643 17,402 2002 26,464 16,371 Total 802,118 489,093 Graph "year" versus "# AIDS cases diagnosed" (plot the scatter plot). Do not include pre-1981 data. Perform linear regression. Write the equations. (Round your answers to the nearest whole number. Round r to four decimal places.) (a) Linear Equation: 9 - (b) a = (c) b= (d) (e) n-

Background: To prevent crashes caused by running red lights, many states are installing cameras at dangerous intersections. These cameras are used to take photographs of the license plates of vehicles that run a red light. The Virginia Department of Transportation (VDOT) obtained data on the number of crashes per year caused by running a red light at 13 intersections in Fairfax County, Virginia. RED LIGHT PHOTO ENFORCED Source: Virginia Transportation Research Council, "Research Report: The Impact of Red Light Cameras (Photo-Red Enforcement) on Crashes in Virginia", June 2007 Directions: Perform an appropriate significance test to determine whether or not the reduction in the number of crashes was statistically significant. 1. Click on the Data button below to display the data. Copy the data into a statistical software package and click the Data button a second time to hide it. Data Before After 3.7 1.26 0.37 0.1 0.39 0 4.55 1.69 2.4 1.94 2.09 3.24 2.5 2.72 0.83 0.24 3.05 1.67 3.21…

Provide a Descriptive interpretation based on the given data; use an APA format as much as possible.

Provide a Descriptive interpretation based on the given data; use an APA format as much as possible.

Falls are one source of preventable hospital injury. The data in the table represent the number of patient falls per month over a 28-month period in a 19-bed AIDS unit at a major metropolitan hospital. Complete parts (a) and (b). Full data set O Month 3 4 5 6 7 8 9 10 11 12 13 14 Falls 3 4 3 4 3 4 4 10 6 6 Month 15 16 17 18 19 20 21 22 23 24 25 26 27 28 Falls 6 8 5 11 4 7 6 6 7 7 10 a. Construct a c chart for the number of patient falls per month. Do you think that the process is in a state of statistical control? Choose the correct chart below. OA. OB. Oc. 16- 16- 167 14 14 14 Time Time Time Do you think that the process is in a state of statistical control? O A. Yes. There do not appear to be special causes of variation. O B. No. There is at least one point outside the control limits. O C. No. There is a discernable pattern. O D. No. There are eight consecutive points all above or below the center line. b. What effect would it have on your conclusions if you knew that the AIDS unit…

The quality manager believes there may be a relationship between the experience level of an inspector and whether a product passes or fails inspection. Inspection records were reviewed for 628 units of a particular product, and the number of units which passed and failed inspection was determined based on three inspector experience levels. The results are shown in the following table. Experience Level Medium (2-8 years) 285 High (> 8 years) 102 26 Low (< 2 years) 153 16 Decision Pass Fail 46 a. Select the competing hypotheses to determine whether the inspector pass/fail decision depends on experience level. Ho: Inspector pass/fail decision and experience level are independent; HA: Inspector pass/fail decision and experience level are dependent. O Ho Inspector pass/fail decision and experience level are dependent; HA Inspector pass/fail decision and experience level are independent. b. Calculate the value of the test statistic. (Round the intermediate calculations to at least 4 decimal…

Based on the data of air pollution in Los Angeles in 2019, the Environmental Protection Agency (EPA) decided to publish a new stricter regulation effective in January 2020 to reduce hydrocarbon pollution. EPA wants to evaluate whether the new regulation makes significant differences in reducing pollution. EPA collects data of monthly hydrocarbon pollution level as follows: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2019 7.3 6.0 5.4 5.9 3.9 5.7 6.9 7.6 6.3 5.8 5.1 5.9 2020 5.3 6.1 5.6 5.7 3.7 4.7 6.1 7.2 6.4 5.7 4.9 5.8

Subject: Engineering Data Analysis For group data:  Mean  Median  Mode

Paint lifetime: A paint company collected data on the lifetime (in years) of its paint in eleven United States cities. The data are in the following table. Average annual Precipitation (inches) 48.6 43.8 29.3 26.4 City Atlanta, GA Boston, MA Kansas City, KS Minneapolis, MN Dallas, TX Denver, CO Miami, FL Phoenix, AZ San Francisco, CA Seattle, WA Send data to Excel Paint Lifetime Part 1 of 2 11.5 11.7 12.3 10.5 11.2 15.2 8.7 11.1 16.7 Average January Temperature 41.9 29.6 28.4 11.2 45.0 29.5 67.1 52.3 48.5 40.6 Average July Temperature 78.6 73.5 80.9 73.1 86,3 73.3 82.4 92.3 62.2 65.3 34.2 15.3 57.5 7.1 19.7 38.9 In Cheyenne, Wyoming, the average January temperature is 26.1, the average July temperature is 68.9, and the average annual precipitation is 13.3. Construct a 95% confidence interval for the paint lifetime. Round your answers to at least two decimal places.

Consider the following examples of populations,together with the variable/characteristic measured on each population unit. a. Population: Accountability reports by State Universities and Colleges and Government Owned and Controlled Corporations submitted to the Commission on Audit.Variable: Total Disbursements   REQUIRED: i.      classify the variable ofinterest as either qualitative or quantitative,ii.     determine the correspondinglevel of measurement of the variable.iii.    Name another variable that canbe measured or observed from the population.

A survey of recent e-commerce start-up firms was undertaken at an industry convention. Representatives of the firm were asked for the geographic location of the firm as well as the firm's outlook for growth in the coming year. The results are provided below. Region 2nd 1st 3rd 4th 0.19 Exp. Growth Low 0.04 0.12 0.14 Medium 0.05 0.08 0.06 0.12 High 0.03 0.05 0.08 0.04 Are the events "firm from the 2nd region" and "expects high growth" statistically independent? O a. Unable to tell from the data O b. No O c. Yes O d. Maybe

I have monthly level data. I want to convert it into weekly data using interpolate. Here is what data looks like: Year_Month Period Observation Value 1-Month Net Change 1 1986-01-01 M01 6.7 -0.3 2 1986-02-01 M02 7.2 0.5 3 1986-03-01 M03 7.2 0.0