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pashok25 [27]
3 years ago
15

Bill Schultz works at a high power investment firm in Los Angeles. Bill is responsible for promoting the firm's vision and creat

ing the company-wide goals and strategies. He also monitors the overall strategic performance of the company and its direction for future business strategies. At what level of the organizational pyramid would you categorize Bill?
A) Strategic
B) Owner
C) Operational
D) Managerial
Computers and Technology
1 answer:
Anna35 [415]3 years ago
4 0

Answer:a

Explanation:

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Ask the user to enter 3 scores each representing an assignment score. Ask the user for their midterm and final exam. Store all a
GarryVolchara [31]

Answer:

#include <stdio.h>

int main()

{

   float assignmentScore, averageScore, midTerm, finalTerm, totalScore;

   

   printf("Enter first assignment score: ");

   scanf("%f",&assignmentScore);

   averageScore += assignmentScore;

   printf("Enter second assignment score: ");

   scanf("%f",&assignmentScore);

   averageScore += assignmentScore;

   printf("Enter third assignment score: ");

   scanf("%f",&assignmentScore);

   averageScore += assignmentScore;

   averageScore = averageScore / 3;

   

   printf("Enter mid term score: ");

   scanf("%f",&midTerm);

   

   printf("Enter final term score: ");

   scanf("%f",&finalTerm);

   

   totalScore = (averageScore*0.40)+(midTerm*0.30)+(finalTerm*0.30);

   

   printf("Your total score is equal to %f\n",totalScore);

   

  return 0;

}

Explanation:

  • Declare and get the assignments score, average score, mid term, final term from the user an input.
  • Calculate the average score by calculating all the scores and dividing by the total no. of assignments.
  • Calculate the total score by using the following formula:

Total Score = (average assignments)*40% + (midterm)*30% + (final exam)*30%

  • Lastly, display the total score on the console.
5 0
3 years ago
ossless compression tools generally use either Huffman coding or Lempel-Ziv-Welch (LZW) coding. Discuss the advantages and disad
anygoal [31]

Answer:

It we were asked to develop a new data compression tool, it is recommended to use Huffman coding since it is easy to implement and it is widely used.

Explanation:

The pros and the cons of Huffman coding

Huffman coding is one of the most simple compressing encoding schemes and can be implemented easily and efficiently. It also has the advantage of not being patented like other methods (e.g. arithmetic codingfor example) which however are superior to Huffman coding in terms of resulting code length.

One thing not mentioned so far shall not be kept secret however: to decode our 96 bit of “brief wit” the potential receiver of the bit sequence does need the codes for all letters! In fact he doesn’t even know which letters are encoded at all! Adding this information, which is also called the “Huffman table” might use up more space than the original uncompressed sentence!

However: for longer texts the savings outweigh the added Huffman table length. One can also agree on a Huffman table to use that isn’t optimized for the exact text to be transmitted but is good in general. In the English language for example the letters “e” and “t” occur most often while “q” and “z” make up the least part of an average text and one can agree on one Huffman table to use that on average produces a good (=short) result. Once agreed upon it doesn’t have to be transmitted with every encoded text again.

One last thing to remember is that Huffman coding is not restricted to letters and text: it can be used for just any symbols, numbers or “abstract things” that can be assigned a bit sequence to. As such Huffman coding plays an important role in other compression algorithms like JPG compression for photos and MP3 for audio files.

The pros and the cons of Lempel-Ziv-Welch

The size of files usually increases to a great extent when it includes lots of repetitive data or monochrome images. LZW compression is the best technique for reducing the size of files containing more repetitive data. LZW compression is fast and simple to apply. Since this is a lossless compression technique, none of the contents in the file are lost during or after compression. The decompression algorithm always follows the compression algorithm. LZW algorithm is efficient because it does not need to pass the string table to the decompression code. The table can be recreated as it was during compression, using the input stream as data. This avoids insertion of large string translation table with the compression data.

3 0
4 years ago
How do computers read zeroes and ones?
Sladkaya [172]
Computers use binary code to read zeros and ones.
4 0
3 years ago
What are the missing words in the program?<br> divide(numA,numB):<br> numA/numB
Alex787 [66]

If you just want to get the quotient of numA and numB from the function, it would look like this:

def divide(numA, numB):

   return numA/numB

If you want to get the quotient of numA and numB from the function and then print that value to the screen, it would look like this:

def divide(numA, numB):

   return numA/numB

print(divide(1,1))

You can replace those 1's with any number you want.

7 0
3 years ago
Read 2 more answers
Help pls. Computer basics.
telo118 [61]
Text boxes and related tools
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3 years ago
Read 2 more answers
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