Answer:
True
Explanation:
The analytical decision-making style most likely requires the most amount of data analysis.
Define data analysis.
Data analysis is the process of systematically inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making. Data analysis is used in a wide range of fields, including business, science, social sciences, and engineering, to extract insights from raw data and identify patterns, trends, and relationships. The process of data analysis typically involves using statistical and mathematical techniques, as well as visualization tools, to interpret and communicate the results of the analysis.
The analytical decision-making style is most likely to require the most amount of data analysis. Analytical decision-making involves a methodical and thorough approach to gathering and analyzing data before making a decision. This style of decision-making is often used in complex or high-stakes situations, where there are many variables to consider and the consequences of a poor decision could be significant. Analytical decision-making involves collecting data from multiple sources, analyzing the data using various methods, and making a decision based on the results of the analysis. This style of decision-making can be time-consuming and requires a significant amount of data analysis to ensure that all relevant information has been considered before making a decision.
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Answer:
#include <iostream>
#include <cstring>
#include <fstream>
using namespace std;
bool convertToUpper(const string &st);
int main()
{
string s;
cout << "Enter the string: " << endl;
getline(cin, s);
convertToUpper(s);
return 0;
}
bool convertToUpper(const string &st) {
if(st.length() == 0) {
return false;
} else {
ofstream myfile;
myfile.open ("Upper.txt");
for(int i=0;i<st.length();i++) {
if(st[i]>='a' && st[i]<='z') {
myfile << (char)toupper(st[i]);
} else {
myfile <<st[i];
}
}
myfile.close();
}
}
Column chart
Line graph
Pie chart
Answer:
The answer to this question is given below in the explanation section.
Explanation:
The correct answer to this question is the Bar graph.
Because we use this chart type to visually compare values across a few categories when the charts show duration or when the category text is long.
However, we can present information similarly in the bar graph and in column charts, but if you want to create a chart with the horizontal bar then you must use the Bar graph. In an Excel sheet, you can easily draw a bar graph and can format the bar graph into a 2-d bar and 3-d bar chart.
A column chart is used to compare values across a few categories. You can present values in columns and into vertical bars.
A line graph chart is used to show trends over months, years, and decades, etc.
Pie Chart is used to show a proportion of a whole. You can use the Pie chart when the total of your numbers is 100%.
Answer:
Bar graph option A
Explanation:
I did the test
Answer:
Following are the program in c++ language
#include<iostream> // header file
using namespace std; // namespace
int main()
{
int n1,i; // variable declaration
cout<<"Enter Number: ";
cin>>n1; // input number
for(i=n1;i>1;i=i-2) // check the condition
{
n1 = n1-2; // decrement the value of number by -2
}
if(n1==0) // check if it is 0
cout<<"number is EVEN"<<"\n"; // print even
else
cout<<"number is ODD"<<"\n"; // print odd
return 0;
}
Output:
Enter Number: 45
number is ODD
Again run the program
Enter Number:10
number is EVEN
Explanation:
In this program, we input the number by a user in variable n1. After that, we iterate the for loop and initialize the value of a variable" i" in for loop and check the condition.
In each iteration, the variable n1 is decrement by 2 and store it n1.
Finally, check if n1==0 then it print number is EVEN otherwise it print number is ODD.
Answer:
Centralized Processing
Explanation:
Centralized processing was developed to process all of the data in a single computer, and since the first computers were stand-alone with all input and output devices in the same room, only the largest organizations could afford to use centralized processing.