Chapter 13, Problem 19MC

Please original work What are two DSS models (e.g., optimization and forecasting). What are each model’s purpose, advantages, and limitations in the context of business analytics. Talk about some examples of how each model can be applied in real-world business scenarios, particularly in operations, marketing, or finance. Please cite in text references and add weblinks

Please original work What is Online Analytical Processing (OLAP) and describe its role in DSS. Talk about how OLAP supports multidimensional analysis and decision-making in businesses. Compare how OLAP differs from traditional DSS models in terms of data processing and output. Please cite in text references and weblinks

Please original work Describe the key steps involved in the modeling process: problem definition, data collection, model formulation, validation, implementation, and refinement. Talk about why each step is critical to ensuring the accuracy and reliability of the model. What are some real-world business example of a problem, and describe how the modeling process could be applied to address it using DSS. Please cite in text references and add weblinks

You will be using the "usdata" package's "county" data #  for this assignment. # You will need to run:#  install.packages("usdata")# once to install this library - do not include the#  install.packages command in your submission#  as it can cause gradescope to fail ## ## ## ## ## DO NOT MODIFY BELOW ## ## ## ## ## library(usdata)county<-as.data.frame(county)county<-county[,1:14]county<-county[rowSums(is.na(county))==0,]# The set.seed command will ensure your results are consistent#  each time you run the "source" commandset.seed(311)## ## ## ## ## DO NOT MODIFY ABOVE ## ## ## ## ##  # Treating the "county" dataset as the population of US counties#  create the dataframe "my.SRS" that represents a simple#  random sample of n=250 individual counties from all counties in the US. my.SRS <- NA   # Treating the "county" dataset as the population of US counties#  create the dataframe "my.Stratified" that represents a stratified#  sample of individual counties from all counties in…

Please answer two JAVA OOP problems.

Please answer this JAVA OOP problem.

Answer two JAVA OOP problems.

= 3. [40 pts] In the following C program ex2_2.c, we first declare and initialize an array int arr[3] {1,3,5}. Please convert the C code in main function into Assembly language. We provide the array initialization code in ex2_2_assembly.s for reference. Please complete and submit your code. ex2_2.c: #include int main() { } int arr[3] ={1,3,5}; //declare and initialize the array arr int x11 = arr[0]; int x12 = arr[1]; int x13 =x11x12; int x14 = x13 << x11; // "<<" is left shift operator arr[1] arr [2] = x13; = x14; return 0; //no need to convert this line into assembly language

Please answer JAVA OOP problem.