Define the following: a. Direct Method b. Indirect Method c. Registration Method d. Observation Method e. Experimental Method
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- please answer the following question with complete solutionTable 1: Cross Tabulation - Frequency Table Geneva Location 0 1 2 3 Total Geneva Location 0 1 2 3 Total FREQUENCY - DAILY SALES BY LOCATION Saratoga Location 0 O 0.0800 O 0.2300 O 0.1200 O 0.0300 O 0.1500 21 21 54 9 3 0 1 30 36 42 9 117 1 2 24 33 9 6 72 3 2 42 9 18 12 3 4 RELATIVE FREQUENCY - DAILY SALES BY LOCATION Saratoga Location 3 12 2 2 3 5 5 4 5 0.0700 0.1000 0.0800 0.0700 0.1200 0.1100 0.0300 0.0067 0.0000 0.0067 0.0600 0.0033 0.0100 0.0067 0.0300 0.1400 0.0300 0.0400 0.0100 0.0300 0.0200 0.0100 0.0167 0.0000 0.1800 0.3900 0.2400 0.1400 0.0400 0.0100 3 0 1 2 0 Total 86 111 77 26 300 Total 0.2867 0.3700 0.2567 0.0867 1.0000 According to Table 1 above, the probability that both locations will only sell two cars is.3. Washington.csv: dataset below Solution Day Result 1 1 13 1 2 22 1 3 18 1 4 39 2 1 16 2 2 24 2 3 17 2 4 44 3 1 5 3 2 4 3 3 1 3 4 22 Use the datafile washing.csv, which represents the study data discussed in Question 5. Save the data file in your local folder that you use as your R working directory. Keep in mind that when you download the datafile by clicking on the link "washing.csv" above BB Learn may change its name such as "washing(1).csv". Once you download it make sure to change the file name manually to "washing.csv" so that the code below runs without problems. Analyze the data from this study (use a significance level α = 0.05) using the R code below and using the modeling approach you selected in Question 5. Based on the R output, which statement is correct? # read the data file and make sure the factors are recognized as factors by filling out the blank part in the code belowwash <- read.csv("washing.csv", as.is =T)wash$…
- The data below lists states poverty rate, gun deaths per 100,000 people, high school graduation rate and the unemployment rate. STATE New Jersey Vermont Minnesota Hawaii Delaware Utah Virginia Nebraska Connecticut Maryland Idaho Alaska Massachusetts Washington Wisconsin Nevada Wyoming Florida North Dakota Pennsylvania lowa Colorado Illinois Missouri South Dakota Michigan New Hampshire Rhode Island Ohio Kansas POVERTY% 6.80% 7.60% 8.10% 8.60% 9.20% 9.20% 9.20% 9.50% 9.70% 9.70% 9.90% 10.00% 10.10% 10.20% 10.20% 10.60% 10.60% 11.10% 11.20% 11.20% 11.30% 11.40% 11.50% 11.60% 11.80% 12.00% 12.00% 12.10% 12.30% 12.50% GUN DEATHS 5.7 9.2 12 2.6 10.3 12.6 10.2 9 4.4 9.7 14.1 17.6 3.1 8.7 9.7 13.8 16.7 11.9 11.8 11.2 8 11.5 8.6 12 10 12 6.4 5.3 11 11.4 H.S. GRAD's 91.8 91 91.5 90.4 87.4 90.4 86.6 89.8 88.6 88.2 88.4 91.4 89 89.7 89.8 83.9 87.4 85.3 90.1 87.9 91.4 89.3 86.4 86.8 89.9 87.9 91.3 84.7 87.6 89.7 UNEMPLOYMENT 5.7 3.6 4 3.5 4.9 3.7 4.5 2.8 5.3 5.1 4.2 6.6 4.7 5.3 4.5 6.8 4 5.3 2.9…e.com/student/stude m :&s Online Tools G. W N G nnologies Inc. O 2021 Edugence4. Define the following terms and give example each: Population Sample Survey 1. 11. 11. Iv. Census V. Parameter VI Statistic
- UNIVERSITY OF TOMORROW UNIVERSITY OF PETROLEUM & ENERGY STUDIES, DEHRADUN Department of Applied Sciences-Mathematics Assignment 2 (CO5) Program: B.Sc. F & T, B.Sc. Clinical Research and B.Sc. Microbiology Integrated B.Sc. F & T, Integrated B.Sc. Clinical Research, and Integrated B.Sc. Microbiology Semester: II Course: Biostatistics and Epidemiology Course Code: HSCC2006 1. With the following data in 6 cities, calculate the coefficient of correlation by Pearson's method between the density of population and death rate: Cities Area in sq. kilometre| 150 Population in '000' E. 120 B F A. D. 180 100 09 42 08 24 06 1440 72 30 40 No. of Deaths 840 1224 312 2. Obtain the regression lines of y on x and x on y from the following data and estimate the blood pressure when the age is 50. Also find the coefficient of correlation. Age (x) 42 72 63 47 147 125 160 118 149 128 150 55 38 42 63 09 pool Pressure (y) | 145 115 140 152 155The population and deaths of two towns according to age groups are giyen below: Town A Town B Age group Population Population 2000 3500 1000 Deaths Deaths 0-10 10-55 55 and over 2500 6500 1500 60 75 30 25 20 30 Calculate Crude death rates for Town A and Town BTable 1:Age specific population and number of deaths of country A, Country B and Country C Age Country A Country B Population (in Number Population (in of Death Thousand) Number of Death Country C Population (in Thousand) Number of Death group Thousand) 0-9 1050 8287 2684 209598 1857 8179 10-19 2565 6525 4267 9793 3372 4800 20-39 3248 6356 3561 7457 3123 12702 40-59 2884 18295 2981 10451 3724 15221 60+ 1124 39878 2820 24321 1576 26034
- 1. Differentiate the following: A. Descriptive versus Inferential Statistics B. Parameter versus Statistics C. Qualitative versus quantitative data D. Raw Data versus array data 2. Define the following and give and example: a. Nominal Scale b. Original Scale c. Interval Scale d. Ratio Scale 3. Define the following: a. Direct Method b. Indirect Method c. Registration Method d. Observation Method e. Experimental Methodch 15 end. 3: A wholesaler has recently developed a computerized sales invoicing system. Prior to implementing this system, a manual system was used. The distribution of the number of errors per invoice for the manual system is as follows:Table 1: Vehicles Engine size Number Vehicle City MPG Hwy MPG Model Model Cylinders Transmission Fuel of gears Class Year ACURA small 3.5 Automatic 6 Gasoline 19 28 2010 RDX SUV HYUNDAI 1.6 4 Manual 7 Gasoline | large car 28 38 2015 Sonata Small Ford Fiesta 1.6 4 Manual Gasoline 28 36 2006 car DODGE midsize 6.4 8 Automatic 8 Gasoline 14 25 2010 Challenger car BMW X5 standard 3 6 Automatic 8 Gasoline 18 24 2013 xDrive35i SUV HONDA midsize 3.5 6 Automatic 6. Gasoline 21 32 2014 Accord car LAND ROVER standard 3 6. Automatic 8 Diesel 22 29 2008 Range SUV Rover BENTLEY midsize 6.8 8 Automatic 8 Gasoline 11 18 2012 Mulsanne car MAZDA small 2.5 Automatic 6 Gasoline 24 30 2013 CX-5 SUV PORSCHE small Cayman 3.4 6. Manual 6. Gasoline 19 26 2015 car GTS la) How many variables are listed in table 1? Classify the variables according to their types (Qualitative / Quantitative). i. ii.
