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alukav5142 [94]
3 years ago
14

Sharon is troubleshooting a computer and wants to test the hard drive in another computer. Sharon removes the hard drive and not

ices that it does not have a SATA power connection. The connector for power is white and has four pins instead.
Computers and Technology
1 answer:
andreyandreev [35.5K]3 years ago
4 0

Answer:

Sharon would need a 'Molex connector' to test the hard drive she is using.

Explanation:

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one business rule is that each project has one manager. Identify two (and no more than two) problems with the data structure or
Vinil7 [7]

Answer:

1. The data will not be tallying up - there will great variations and deviance.

2. There will be not enough data points

Explanation:

The management style, though it uses one manager, is not devoid of problems in the system. For example, there will be great difficulty in the collection of accurate data to properly define the system. This presents a great misinformation on the outcome of the data process. This is likely to be caused by the first factor that is the data having a lot of discrepancies. The discrepancy causes the data to be meaningless in terms of the trends displayed. In addition, the lack of enough points posses a challenge to the data collection and processing procedure. The data base management system can be used to concentrate data on a central point of reference.

3 0
3 years ago
Write a program that prompts the user to enter a series of numbers between 0 and 10 asintegers. The user will enter all numbers
Anna71 [15]

Answer:

The program in Python is as follows:

import collections

from collections import Counter

from itertools import groupby

import statistics

str_input = input("Enter a series of numbers separated by space: ")

num_input = str_input.split(" ")

numList = []

for num in num_input:

         if(num.lstrip('-').isdigit()):

                   if num[0] == "-" or int(num)>10:

                             print(num," is out of bound - rejecting")

                   else:

                             print(num," is valid - accepting")

                             numList.append(int(num))

         else:

                   print(num," is not a number")

print("Largest number: ",max(numList))

print("Smallest number: ",min(numList))

print("Range: ",(max(numList) - min(numList)))

print("Mode: ",end = " ")

freqs = groupby(Counter(numList).most_common(), lambda x:x[1])

print([val for val,count in next(freqs)[1]])

count_freq = {}

count_freq = collections.Counter(numList)

for item in count_freq:

         print(item, end = " ")

         lent= int(count_freq[item])

         for i in range(lent):

                   print("#",end=" ")

print()

Explanation:

See attachment for program source file where comments are used as explanation. (Lines that begin with # are comments)

The frequency polygon is printed using #'s to represent the frequency of each list element

7 0
2 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
3 years ago
Malcolm Movers charges a base rate of $200 per move plus $150 per hour and $2 per mile. Write a program named MoveEstimator that
jeka94

Answer:

import java.util.Scanner;

public class MoveEstimator

{

public static void main(String[] args) {

   

    Scanner input = new Scanner(System.in);

    final int BASE_RATE = 200, RATE_PER_HOUR = 150, RATE_PER_MILE = 2;

    int hours, miles;

    double totalFee = 0.0;

   

 System.out.print("Enter the number of hours for a job: ");

 hours = input.nextInt();

 System.out.print("Enter the number of miles: ");

 miles = input.nextInt();

 

 totalFee = BASE_RATE + (hours * RATE_PER_HOUR) + (miles * RATE_PER_MILE);

 System.out.printf("For a move taking %d hours and going %d miles the estimate is $%.2f", hours, miles, totalFee);

}

}

Explanation:

*The code is in Java.

Create the Scanner object to be able to get input

Initialize the constant values using final keyword, BASE_RATE, RATE_PER_HOUR, RATE_PER_MILE

Declare the variables, hours, miles, totalFee

Ask the user to enter the hours and miles

Calculate the totalFee, add BASE_RATE, multiplication of  hours and RATE_PER_HOUR, multiplication of  miles and RATE_PER_MILE

Print the output as in required format

6 0
2 years ago
Which blog had legal content and is written mostly by lawyers
Svetradugi [14.3K]
Is it asking for a web site like .edu? or something like that?
6 0
3 years ago
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