Workers are more satisfied when they have many different types of tasks to do during the workday than when they do similar tasks all day long. Use specific reasons and examples to support your answer.
By and large, workers have had an important role in the societies. Many organizations are workers advocate and are struggling to hear their voices. Its importance leads to some controversy; some people want to know how workers would be satisfied by doing different tasks or just one. One statement in this case that is often brought up is that workers prefer to do just one task during the day, in contrast, I personally believe that they would be happy if let them do different tasks. In the lines to follow, I will investigate some reasons to shed light on my response.
One of the paramount reasons which deserves to be mentioned is that the new task looks like a breath of fresh air. Not only could a new task physically relax them, but also could relax them mentally. Indeed, workers how practice different tasks, wouldn't sense the passing of time rather than someone who just do and one arduous task. Take, for example, when I used to work at Pegah's company in Khorramabad, I accepted many responsibilities such as maintenance, cleaning my room, and typing. Although I did a plethora of work, I was very satisfied. Never did I look at my watch. In contrast, when I had done just one task, I always was anxious when I would be off. Therefore, doing just one task was mentally boring for me and instead of doing several works was appealing.
Another reason coming to mind is that these workers would be healthier. Should workers do one task, they would sit on a chair or take a position for a long time. Take, for example, when I used to type in Pegah's company, I sat on a chair for about 8 hours. When I got up, I got an excruciating backache. Indeed, I got sick and expended large expenses for healing. If not for that job, I would be healthier now.
In conclusion, to sum both reasons up, let use the Pareto rule which also known as 80/20 rule. In a nutshell, when come to making a decision based on the Pareto rule, vailing 20 percent of reasons could fulfil 80 percent of the solution. Consequently, both discussed reasons outweigh other potential reasons and are sufficient to substantiate the contention that workers which do several duties are happier than some workers which just do one task.
- Workers are more satisfied when they have many different types of tasks to do during the workday than when they do similar tasks all day long. Use specific reasons and examples to support your answer. 70
- Workers are more satisfied when they have many different types of tasks to do during the workday than when they do similar tasks all day long. Use specific reasons and examples to support your answer. 66
- Workers are more satisfied when they have many different types of tasks to do during the workday than when they do similar tasks all day long. Use specific reasons and examples to support your answer. 73
- Imagine that you are in a classroom or a meeting. The teacher or the meeting leader says something incorrect In your opinion, which of the following is the best thing to do?•Interrupt and correct the mistake right away.•Wait until the class or meeting 70
- People who live in large cities can better take care of their family than those who live in small towns or villages. 71
Grammar and spelling errors:
Line 2, column 247, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: wouldn't
..., workers how practice different tasks, wouldnt sense the passing of time rather than s...
^^^^^^^
Line 2, column 625, Rule ID: ADVERB_WORD_ORDER[5]
Message: The adverb 'always' is usually put after the verb 'was'.
Suggestion: was always
...trast, when I had done just one task, I always was anxious when I would be off. Therefore,...
^^^^^^^^^^
Line 2, column 773, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...d of doing several works was appealing. Another reason coming to mind is that th...
^^^
Transition Words or Phrases used:
also, but, consequently, if, look, so, therefore, for example, in conclusion, in contrast, such as, by and large
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 18.0 15.1003584229 119% => OK
Auxiliary verbs: 11.0 9.8082437276 112% => OK
Conjunction : 10.0 13.8261648746 72% => OK
Relative clauses : 18.0 11.0286738351 163% => OK
Pronoun: 36.0 43.0788530466 84% => OK
Preposition: 44.0 52.1666666667 84% => OK
Nominalization: 6.0 8.0752688172 74% => OK
Performance on vocabulary words:
No of characters: 1817.0 1977.66487455 92% => OK
No of words: 394.0 407.700716846 97% => OK
Chars per words: 4.6116751269 4.8611393121 95% => OK
Fourth root words length: 4.45527027702 4.48103885553 99% => OK
Word Length SD: 2.63576083464 2.67179642975 99% => OK
Unique words: 210.0 212.727598566 99% => OK
Unique words percentage: 0.532994923858 0.524837075471 102% => OK
syllable_count: 558.9 618.680645161 90% => OK
avg_syllables_per_word: 1.4 1.51630824373 92% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 11.0 9.59856630824 115% => OK
Article: 0.0 3.08781362007 0% => OK
Subordination: 7.0 3.51792114695 199% => OK
Conjunction: 2.0 1.86738351254 107% => OK
Preposition: 7.0 4.94265232975 142% => OK
Performance on sentences:
How many sentences: 22.0 20.6003584229 107% => OK
Sentence length: 17.0 20.1344086022 84% => The Avg. Sentence Length is relatively short.
Sentence length SD: 46.4868460912 48.9658058833 95% => OK
Chars per sentence: 82.5909090909 100.406767564 82% => OK
Words per sentence: 17.9090909091 20.6045352989 87% => OK
Discourse Markers: 5.09090909091 5.45110844103 93% => OK
Paragraphs: 4.0 4.53405017921 88% => OK
Language errors: 3.0 5.5376344086 54% => OK
Sentences with positive sentiment : 9.0 11.8709677419 76% => OK
Sentences with negative sentiment : 5.0 3.85842293907 130% => OK
Sentences with neutral sentiment: 8.0 4.88709677419 164% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.320576687806 0.236089414692 136% => OK
Sentence topic coherence: 0.0849687742178 0.076458572812 111% => OK
Sentence topic coherence SD: 0.0676794830539 0.0737576698707 92% => OK
Paragraph topic coherence: 0.193438295628 0.150856017488 128% => OK
Paragraph topic coherence SD: 0.0316615452122 0.0645574589148 49% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 9.2 11.7677419355 78% => Automated_readability_index is low.
flesch_reading_ease: 71.14 58.1214874552 122% => OK
smog_index: 3.1 6.10430107527 51% => Smog_index is low.
flesch_kincaid_grade: 7.6 10.1575268817 75% => OK
coleman_liau_index: 9.16 10.9000537634 84% => OK
dale_chall_readability_score: 7.57 8.01818996416 94% => OK
difficult_words: 77.0 86.8835125448 89% => OK
linsear_write_formula: 11.0 10.002688172 110% => OK
gunning_fog: 8.8 10.0537634409 88% => OK
text_standard: 9.0 10.247311828 88% => OK
What are above readability scores?
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Better to have 5 paragraphs with 3 arguments. And try always support/against one side but compare two sides, like this:
para 1: introduction
para 2: reason 1. address both of the views presented for reason 1
para 3: reason 2. address both of the views presented for reason 2
para 4: reason 3. address both of the views presented for reason 3
para 5: conclusion.
So how to find out those reasons. There is a formula:
reasons == advantages or
reasons == disadvantages
for example, we can always apply 'save time', 'save/make money', 'find a job', 'make friends', 'get more information' as reasons to all essay/speaking topics.
or we can apply 'waste time', 'waste money', 'no job', 'make bad friends', 'get bad information' as reasons to all essay/speaking topics.
Rates: 70.0 out of 100
Scores by essay e-grader: 21.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.