CASE 1Registered Number of Deaths and Percent Change in thePhilippines 2009-2018Figure 1. Registered Number of Deaths and Percent Change in thePhilippines: 2009 to 20187004.46004.23.33.43.8500400H2.12.03001.5THE200100-0.50200920102011 2012 2013Number of Deaths2014 2015 2016 2017 2018Percent ChangeCASE 1 QUESTION 2Among the statements given below, which of them are truein connection to the graph shown above?Number of Deaths ('000)0.9In the year 2018, there is no increase number ofdeath in comparison to the year 2017.The year 2009 has higher number of deaths incomparison to year 2018 due to lack of medicineand health care provision to the country.It cannot be stated due to lack of data provided.In the year 2018, there is an increase of 2.0% incomparison to the previous year 2017.Answer

Introduction: It is required to identify the statement that is true in the given scenario.

Answered: CASE 1 Registered Number of Deaths and…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 25EQ

See similar textbooks

Similar questions

What is the total effect on the economy of a government tax rebate of $500 to each household in order to stimulate the economy if each household will spend of the rebate in goods and services?
kgiba05h_ch10.05 State cancer registry data for colorectal cancer: Total Males Females Population 1,570,000 780,000 790,000 Newly diagnosed cases 793 415 378 Residents with "history of" 12,548 6,983 5,665 Calculate: a. State prevalence of colorectal cancer in males (per 10,000) (compute to one decimal place) b. State incidence of colorectal cancer in females (per 10,000) (compute to two decimal places) Icon Key
Mazars is an integral player in auditing, accounting, tax and advisory services in South Africa. A seasonal analysis was done on their sales for the period between 2009 and 2014 and the Median Seasonal Index's and the Adjusted Seasonal index's was calculated for each quarter as reflected below. Median seasonal Index Adjusted seasonal index Quarter 1 79.5660 79.0886 Quarter 2 85.3333 84.8213 Quarter 3 135.9855 135.1696 Quarter 4 101.5385 100.9293 Total 400.00 Each adjusted seasonal index measures the magnitude of seasonal influence on the actual values of the time series for a given period within the year. Interpret the seasonal analysis results for Quarter 1
The forecast with out seasonality is modeled as: Sales = 6 * t + 236.00, where t= time in months, beginning in January 2015. Seasonality for the first three months are given in the table below. Determine a seasonalized forecast for Feb of 2016. Month Seasonal Factor January 1.9000 February 0.6262 March 0.1000 Submit Answer format: Number: Round to: 1 decimal places. What value with the season index that is created for the 12 months of the year add up to? Submit Answer format: Number: Round to: 0 decimal places.
Deaths from Motor Vehicle Crashes Listed below are the numbers of deaths in the United States resulting from motor vehicle crashes. Use the best model to find the projected number of such deaths for the year 2020.
Year Quarter Price 2010 1 263600 2010 2 264100 2010 3 259500 2010 4 248900 2011 1 251400 2011 2 259200 2011 3 251400 2011 4 252000 2012 1 272300 2012 2 258600 2012 3 265500 2012 4 291200 2013 1 290500 2013 2 302400 2013 3 322900 2013 4 331000 2014 1 324700 2014 2 344400 2014 3 327500 2014 4 355400 2015 1 347200 2015 2 341000 2015 3 330800 2015 4 370300 2016 1 350800 2016 2 380000 2016 3 368600 2016 4 371100 2017 1 372500 2017 2 386300 2017 3 385500 2017 4 409700 2018 1 408000 2018 2 423400 2018 3 404300 Predictive Analytics: Time-Series Forecasting: The above contains data on median home prices in the West Census region quarterly from 2010 to2018. Easter Realtor, Inc. is interested in houses in this region. They want to use this data toforecast home price in the fourth quarter of 2018. For cross-validation, use the training set fromthe first quarter of 2010 to the fourth quarter in 2016, and use a validation set…
The following table gives the millions of metric tons of carbon dioxide emissions in a certain country for selected years from 2010 and projected to 2032. 2010 2012 2014 2016 2018 2020 339.5 361.5 399.1 425.8 452.1 495.4 Year CO2 Emissions Year 2022 2024 2026 2028 2030 2032 CO2 Emissions 556.2 595.9 629.7 665.1 703.1 743.7 (a) Create a linear function that models these data, with x as the number of years past 2010 and y as the millions of metric tons of carbon dioxide emissions. (Round all numerical values to two decimal places.) y(x) = (b) Find the model's estimate for the 2022 data point. (Round your answer to two decimal places.) million metric tons (c) Find the slope of the linear model. (Round your answer to two decimal places.) Interpret the slope of the linear model. For each year since ---Select--- , carbon dioxide emissions in the U.S. are expected to change by million metric tons.
assume we have a cycle-servixe level of 90%, and we deliver 4 items on a customers order, what is the overall customer service level for the order? (show work)
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2009 Price ($/lb) 2000 2000 Seafood Qty. (Ib) Price ($/lb) Halibut 75,190 1.91 2.23 Lobster 83,180 3.72 3.09 Tuna 50,779 1.87 1.97 (a) Compute the index number (price relative) for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna (b) Compute a weighted aggregate price index for the seafood catch. (Round your answer to one decimal place.) I 2009 Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have -Select- by % over the 9-year period according to the index.
The Consumer Price Index provides a means of determining the purchasing power of the U.S. dollar from one year to the next. To use the Consumer Price Index to predict a price in a particular year, we can set up a proportion and compare it with a known price in another year as follows:(price in year A)/(index in year A)=(price in year B)/(index in year B)In 1986 the Consumer Price Index was 109.6 and in 2010 it was 218.1. Find the amount that would be charged in 2010 for the use of the same amount of electricity that cost $110 in 1986. Give your answer to the nearest dollar.
If three of the quarterly seasonal indices for a set of data are 0.7,0.7, and 0.7, then the fourth seasonal index is equal to 1.4 a) TRUE b) FALSE Submit Answer format: Text The forecast with out seasonality is modeled as: Sales = 6 *t + 236.00, where t= time in months, beginning in January 2015. Seasonality for the first three months are given in the table below. Determine a seasonalized forecast for Feb of 2016. Month Seasonal Factor January 1.9000 February 0.6262 March 0.1000 Submit Answer format: Number: Round to: 1 decimal places.
Annualized percentage return on investment (as compared to the Standard & Poor's 500 Index) for 10 randomly selected stock screeners are reproduced in the table. Complete parts a through c.

SEE MORE QUESTIONS

Recommended textbooks for you

Linear Algebra: A Modern Introduction

Algebra

ISBN:

9781285463247

Author:

David Poole

Publisher:

Cengage Learning

Intermediate Algebra

Algebra

ISBN:

9780998625720

Author:

Lynn Marecek

Publisher:

OpenStax College

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

Linear Algebra: A Modern Introduction

Algebra

ISBN:

9781285463247

Author:

David Poole

Publisher:

Cengage Learning

Intermediate Algebra

Algebra

ISBN:

9780998625720

Author:

Lynn Marecek

Publisher:

OpenStax College

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

SEE MORE TEXTBOOKS