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Radda [10]
3 years ago
7

Which is a common problem caused by the widespread use of computers?

Computers and Technology
1 answer:
Andru [333]3 years ago
8 0
Hacking would be a widespread problem.
You might be interested in
After data is collected, how is it analyzed?
professor190 [17]

Answer:

It’s input into a computer and saved for future use

Explanation:

Step 1: Identify issues and/or opportunities for collecting data

The first step is to identify issues and/or opportunities for collecting data and to decide what next steps to take. To do this, it may be helpful to conduct an internal and external assessment to understand what is happening inside and outside of your organization.

-----------------------------------------------------------------------------------------------------------------

Step 2: Select issues and/or opportunities and set goals

The focus of Step 2 is choosing a priority issues and/or opportunities for collecting data, and then setting goals and objectives.

The organization reviews the issues and/or opportunities identified from the internal and external assessment done in Step 1, and picks one or more specific issues and/or opportunities for starting a data collection project from among the list of priorities. Some of the questions an organization can consider when deciding to prioritize an issue and/or opportunity for gathering data

-----------------------------------------------------------------------------------------------------------------

Step 3: Plan an approach and methods

In Step 3, organizations will make decisions about who will be surveyed, how data will be collected, the sources of data that will be used, and the duration of the data collection project, among other questions. These decisions may be made in consultation with an expert. The methods and approaches will flow from the goals set in Step 2, and will vary significantly depending on a number of factors, including the organization’s context, size, resources, and the purpose and complexity of the issue(s) or opportunity(ies) selected.

-----------------------------------------------------------------------------------------------------------------

Step 4: Collect data

When planning on how best to collect data in Step 4, it is important to be aware of the practical considerations and best practices for addressing logistical challenges organizations often face at this stage of the process. Implementing a data collection plan requires attention to matters such as:

  • Getting buy-in from senior leadership and key stakeholders, in or outside of the organization. This group could include boards of directors, management committees, union representatives, employees, community groups, tenants, customers and service users.
  • Establishing a steering committee or selecting a person(s) to be consulted and held accountable for all major decisions about the data collection process, such as design, logistics, communication management, coordination and finances.
  • Determining who will collect the data (e.g., experts or trained employees).
  • Identifying the logistics, resources, technology and people needed to develop and implement a data collection initiative.
  • Anticipating and addressing key stakeholder concerns and questions about the project.
  • Designing a communication and consultation strategy that will explain the data collection initiative and encourage the highest possible participation rate.
  • Protecting privacy and personal information by using carefully controlled procedures for collecting, storing and accessing data that comply with privacy, human rights and other legislation. Dignity and confidentiality must be respected.
  • Minimizing the impact and inconvenience for the people affected in the workplace or service environment, which includes choosing the best time to collect the data.
  • Aiming for flexibility to allow for changes without great expense or inconvenience.
  • Considering a test period or a pilot phase to allow you to improve and modify data collection methods, as may be needed.

-----------------------------------------------------------------------------------------------------------------

Step 5: Analyze and interpret data

Step 5 involves analyzing and interpreting the data collected. Whether quantitative and/or qualitative methods of gathering data are used, the analysis can be complex, or less so, depending on the methods used and the amount of data collected.

-----------------------------------------------------------------------------------------------------------------

Explaining the technical steps involved in analyzing and interpreting data is beyond the scope of this guide. An organization will have to determine whether it has the internal capacity and expertise to analyze and interpret data itself, or whether it will need the help of an external consultant.

-----------------------------------------------------------------------------------------------------------------

Step 6: Act on results

Once an organization has analyzed and interpreted the results of the data collected, it may decide to act on the data, collect more of the same type of data or modify its approach.

8 0
2 years ago
Why is the ipad not considered to be an enterprise-worthy device
emmainna [20.7K]
Because Apple products offer limited stuff while for example, Samsung offers you a lot of stuff. With Apple products you have to pay for your music, movies etc, while with an Android phone or tablet you can download apps that allow you to download music, movies for free
6 0
3 years ago
Describe a strategy for avoiding nested conditionals. Give your own example of a nested conditional that can be modified to beco
Alex787 [66]

Answer:

One of the strategies to avoid nested conditional is to use logical expressions such as the use of AND & operator.

One strategy is to use an  interface class with a method. That method can be created to be used for a common functionality or purpose. This is also called strategy design pattern. You can move the chunk of conditional statement to that method. Then each class can implement that interface class and use that shared method according to their own required task by creating objects of sub classes and call that common method for any such object. This is called polymorphism.

Explanation:

Nested conditionals refers to the use of if or else if statement inside another if or else if statement or you can simply say a condition inside another condition. For example:

if( condition1) {  

//executes when condition1 evaluates to true

  if(condition2) {

//executes when condition1  and condition2 evaluate to true

  }  else if(condition3) {

 //when condition1 is true and condition3 is true

} else {

 //condition1  is true but neither condition2 nor conditions3 are true

}  }

The deeply nested conditionals make the program difficult to understand or read if the nested conditionals are not indented properly. Also the debugging gets difficult when the program has a lot of nested conditionals.

So in order to avoid nested conditionals some strategies are used such as using a switch statement.

Here i will give an example of the strategies i have mentioned in the answer.

Using Logical Expressions:

A strategy to avoid nested conditionals is to use logical expressions with logical operators such as AND operator. The above described example of nested conditionals can be written as:

if(condition1 && condition2){  //this executes only when both condition1 and condition2 are true

} else if(condition1 && condition3) {

this executes only when both condition1 and condition3 are true

} else if(condition1 ){

//condition1  is true but neither condtion2 nor condtion3 are true  }

This can further be modified to one conditional as:

if(!condition3){

// when  condition1 and condition2 are true

}

else

// condition3 is true

Now lets take a simple example of deciding to go to school or not based on some conditions.

if (temperature< 40)

{

   if (busArrived=="yes")

   {

       if (!sick)

       {

           if (homework=="done")

           {

               printf("Go to school.");

           }

       }                    

   }

}

This uses nested conditionals. This can be changed to a single conditional using AND logical operator.

if ((temperature <40) && (busArrived=="yes") &&

(!sick) && (homework=="done"))

{    cout<<"Eligible for promotion."; }

The second strategy is to use an interface. For example you can

abstract class Shape{

//declare a method common to all sub classes

  abstract public int area();

// same method that varies by formula of area for different shapes

}

class Triangle extends Shape{

  public int area() {

     // version of area code for Triangle

return (width * height / 2);

  }

}

class Rectangle extends Shape{

  public int area() {

     // version of area code for Rectangle

    return (width * height)

  }

}

// Now simply create Rectangle or Triangle objects and call area() for any such object and the relevant version will be executed.

4 0
3 years ago
2- There are many different design parameters that are important to a cache’s overall performance. Below are listed parameters f
katen-ka-za [31]

Answer:

1. 2588672 bits

2. 4308992 bits

3. The larger the data size of the cache, the larger the area of ​​memory you will need to "search" making the access time and performance slower than the a cache with a smaller data size.

Explanation:

1. Number of bits in the first cache

Using the formula: (2^index bits) * (valid bits + tag bits + (data bits * 2^offset bits))

total bits = 2^15 (1+14+(32*2^1)) = 2588672 bits

2. Number of bits in the Cache with 16 word blocks

Using the formula: (2^index bits) * (valid bits + tag bits + (data bits * 2^offset bits))

total bits = 2^13(1 +13+(32*2^4)) = 4308992 bits

3. Caches are used to help achieve good performance with slow main memories. However, due to architectural limitations of cache, larger data size of cache are not as effective than the smaller data size. A larger cache will have a lower miss rate and a higher delay. The larger the data size of the cache, the larger the area of ​​memory you will need to "search" making the access time and performance slower than the a cache with a smaller data size.

5 0
3 years ago
What is the main purpose of a graphic organizer?
timama [110]
B. To organize information using shapes.
8 0
3 years ago
Read 2 more answers
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