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Vladimir [108]
3 years ago
13

Which of the following is an example of constructive criticism for a friend who speaks too softly?

Computers and Technology
2 answers:
Dmitry [639]3 years ago
8 0
C is correct..

Please vote my answer branliest! Thanks.
Kay [80]3 years ago
5 0

Answer:

C. Your voice is so nice. I would love for you to speak up, so I can hear you better.

Explanation:

It's the nicest way to tell someone to speak up. Its like talking to a child, you don't want the child crying or getting upset so you tell them nicely. Also I took the quiz and that is the answer.

Hope this Helps ;P

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Who invented computer ?​
liraira [26]

Answer:

Charles Babbage invented computer.

hope this helps!

8 0
3 years ago
Read 2 more answers
Find each of the following products using distributive property a) 735 × 16​
Alekssandra [29.7K]

Answer:

735 * 16 = 11760

Explanation:

Given

735 * 16

Required

The product using distributive property

Express 16 as 10 + 6

735 * 16 = 735 * (10 + 6)

Distributive property states that:

a * (b + c) = a * b + a * c

So, the expression becomes

735 * 16 = 735 * 10 + 735 *6

Evaluate each product

735 * 16 = 7350 + 4410

735 * 16 = 11760

8 0
3 years ago
Show that ALLDFA is in <img src="https://tex.z-dn.net/?f=%5Cmathrm%7BP%7D" id="TexFormula1" title="\mathrm{P}" alt="\mathrm{P}"
Alexandra [31]

Answer:

Hypothesis testing is a vital process in inferential statistics where the goal is to use sample data to draw conclusions about an entire population. In the testing process, you use significance levels and p-values to determine whether the test results are statistically significant.

Explanation:

yup it is write

3 0
1 year ago
What web 2.0 features allows users to subscribe to a data plan that charges for the amount of time spent on the internet?
galina1969 [7]

Answer:

The answer to this question is given in the explanation section. The correct option is long tail

Explanation:

a.Folksonomy

Folksonomy is a way of organizing data and digital content. With Web 2.0, users can collaboratively manage and tag photos, journals and other media. As more users do this, creates a system of classification for the media and information.  so this option is not correct

b. long tail (correct option)

Some sites are able to offer services as well in which users can subscribe monthly or pay a fee every so often. An example of this would be Netflix.

c.user participation

All users have the free will to contribute to the site which makes many Web 2.0 pages public. With sites such as Wikipedia, anyone is open to the editing of articles. Information is provided two-way instead of solely from the site owner.

d.application

Web 2.0 applications that allow anyone to create and share online information or material they have created. As you know that there are number of different types of web 2.0 applications including wikis, blogs, social networking, folksonomies, podcasting & content hosting services.

3 0
3 years ago
Modify the WordCount program so it outputs the wordcount for each distinct word in each file. So the output of this DocWordCount
stepladder [879]

Answer and Explanation:

package PackageDemo;

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.fs.Path;

import org.apache.hadoop.io.IntWritable;

import org.apache.hadoop.io.LongWritable;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Job;

import org.apache.hadoop.mapreduce.Mapper;

import org.apache.hadoop.mapreduce.Reducer;

import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import org.apache.hadoop.util.GenericOptionsParser;

public class WordCount {

public static void main(String [] args) throws Exception

{

Configuration c=new Configuration();

String[] files=new GenericOptionsParser(c,args).getRemainingArgs();

Path input=new Path(files[0]);

Path output=new Path(files[1]);

Job j=new Job(c,"wordcount");

j.setJarByClass(WordCount.class);

j.setMapperClass(MapForWordCount.class);

j.setReducerClass(ReduceForWordCount.class);

j.setOutputKeyClass(Text.class);

j.setOutputValueClass(IntWritable.class);

FileInputFormat.addInputPath(j, input);

FileOutputFormat.setOutputPath(j, output);

System.exit(j.waitForCompletion(true)?0:1);

}

public static class MapForWordCount extends Mapper<LongWritable, Text, Text, IntWritable>{

public void map(LongWritable key, Text value, Context con) throws IOException, InterruptedException

{

String line = value.toString();

String[] words=line.split(",");

for(String word: words )

{

Text outputKey = new Text(word.toUpperCase().trim());

IntWritable outputValue = new IntWritable(1);

con.write(outputKey, outputValue);

}

}

}

public static class ReduceForWordCount extends Reducer<Text, IntWritable, Text, IntWritable>

{

public void reduce(Text word, Iterable<IntWritable> values, Context con) throws IOException, InterruptedException

{

int sum = 0;

for(IntWritable value : values)

{

sum += value.get();

}

con.write(word, new IntWritable(sum));

}

}

}

8 0
3 years ago
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