This topic raises the controversial issue whether we need to study major cities in which represent the variety of people. Indisputably major cities not presenting the community behalf of all types of characteristics. Nevertheless, we have some boundries in statiscits engineering about size of our samples and it is proven. So we need to choose small groupe with possible variety. From where I stand, I concur that major cities can offer diversity with better distribution in contrast to small cities and rural areas.
First of all, to study characteristics of a community u need to gather information first. I would like to point out reaching this point we need results corresponding to reality. In this regard, we have to focus to gather larger group with the variety of characteristics and it is not possible without using the data in which main cities can present. To illustrate this, let us look at the example of many social pieces of research that have been done in last decades. Consequently, we will realize most of them conducted in major cities and just a few of them because some special topics implemented in towns with low population. In this circumstance, obviously offered results by these research were realistic and used for creating new laws or bring more welfare to the society.
Furthermore, it is true that people in small towns may show different characteristics contrary to major towns. In this regard, the statistics engineering proved that whether or not you need to pick small size group as your main sample for research and it is not possible to make an investigation of the whole population.
Another important reason for picking major cities to understand characteristics of people is that more records are available in these towns. In the light of that, we can gather more trustable information about the history of changes in community and behavior of people. Henceforth, with the variety of data and records in major cities contrast to small towns we will find a better pattern for studying and understandings.
Along all these advantages, some may assert that major towns have many areas like china town. In this regard, people in these areas have the same tradition and show same charactersitics. Nevertheless, we can pick our samples from all of these areas. It is hard but not impossible if we want to propose a good answer and finding our favorite pattern.
Based on all points mentioned above, I strongly recommend major cities as the main sample for research on behavior and characteristics. By the same token, we will offer more realistic patterns of our status quo.
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Grammar and spelling errors:
Line 1, column 280, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...some boundries in statiscits engineering about size of our samples and it is prov...
^^
Line 3, column 166, Rule ID: WHETHER[7]
Message: Perhaps you can shorten this phrase to just 'whether'. It is correct though if you mean 'regardless of whether'.
Suggestion: whether
... the statistics engineering proved that whether or not you need to pick small size group as yo...
^^^^^^^^^^^^^^
Line 4, column 286, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...and behavior of people. Henceforth, with the variety of data and records in major...
^^
Transition Words or Phrases used:
but, consequently, first, furthermore, hence, if, look, may, nevertheless, so, in contrast, first of all, in contrast to, it is true, by the same token
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 9.0 19.5258426966 46% => More to be verbs wanted.
Auxiliary verbs: 15.0 12.4196629213 121% => OK
Conjunction : 15.0 14.8657303371 101% => OK
Relative clauses : 10.0 11.3162921348 88% => OK
Pronoun: 48.0 33.0505617978 145% => Less pronouns wanted
Preposition: 73.0 58.6224719101 125% => OK
Nominalization: 8.0 12.9106741573 62% => OK
Performance on vocabulary words:
No of characters: 2178.0 2235.4752809 97% => OK
No of words: 435.0 442.535393258 98% => OK
Chars per words: 5.00689655172 5.05705443957 99% => OK
Fourth root words length: 4.56690854021 4.55969084622 100% => OK
Word Length SD: 2.96914684767 2.79657885939 106% => OK
Unique words: 203.0 215.323595506 94% => More unique words wanted.
Unique words percentage: 0.466666666667 0.4932671777 95% => More unique words wanted or less content wanted.
syllable_count: 677.7 704.065955056 96% => OK
avg_syllables_per_word: 1.6 1.59117977528 101% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 12.0 6.24550561798 192% => OK
Article: 1.0 4.99550561798 20% => OK
Subordination: 0.0 3.10617977528 0% => More adverbial clause wanted.
Conjunction: 0.0 1.77640449438 0% => OK
Preposition: 11.0 4.38483146067 251% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 22.0 20.2370786517 109% => OK
Sentence length: 19.0 23.0359550562 82% => The Avg. Sentence Length is relatively short.
Sentence length SD: 36.499886788 60.3974514979 60% => OK
Chars per sentence: 99.0 118.986275619 83% => OK
Words per sentence: 19.7727272727 23.4991977007 84% => OK
Discourse Markers: 6.86363636364 5.21951772744 131% => OK
Paragraphs: 6.0 4.97078651685 121% => OK
Language errors: 3.0 7.80617977528 38% => OK
Sentences with positive sentiment : 11.0 10.2758426966 107% => OK
Sentences with negative sentiment : 1.0 5.13820224719 19% => More negative sentences wanted.
Sentences with neutral sentiment: 10.0 4.83258426966 207% => Less facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.125159652679 0.243740707755 51% => OK
Sentence topic coherence: 0.0384779890473 0.0831039109588 46% => OK
Sentence topic coherence SD: 0.0393194495022 0.0758088955206 52% => OK
Paragraph topic coherence: 0.0707959929966 0.150359130593 47% => OK
Paragraph topic coherence SD: 0.0383137645983 0.0667264976115 57% => OK
Essay readability:
automated_readability_index: 12.1 14.1392134831 86% => Automated_readability_index is low.
flesch_reading_ease: 52.19 48.8420337079 107% => OK
smog_index: 8.8 7.92365168539 111% => OK
flesch_kincaid_grade: 10.7 12.1743820225 88% => OK
coleman_liau_index: 11.78 12.1639044944 97% => OK
dale_chall_readability_score: 7.95 8.38706741573 95% => OK
difficult_words: 93.0 100.480337079 93% => OK
linsear_write_formula: 9.0 11.8971910112 76% => OK
gunning_fog: 9.6 11.2143820225 86% => OK
text_standard: 9.0 11.7820224719 76% => OK
What are above readability scores?
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Rates: 50.0 out of 100
Scores by essay e-grader: 3.0 Out of 6
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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.