In a laboratory study of two different industrial cleansers, CleanAll was found to remove 40% more dirt and kill 30% more bacteria than the next best cleanser. Furthermore, a study showed that employees working at buildings cleaned with CleanAll used far fewer sick days than employees working in buildings cleaned with other cleansers. Therefore, to prevent employee illness, all companies should use CleanAll as their industrial cleanser.
Write a response in which you examine the stated and/or unstated assumptions of the argument. Be sure to explain how the argument depends on these assumptions and what the implications are for the argument if the assumptions prove unwarranted.
The Argument states that a study of two different industrail cleansers was conducted,where it is found that CleanAll removed 40% more dirt and killed 30% more bacteria than the other cleanser.We could not surely say this is valid information as we need more data like conditions where they were used,number of clenaers considerd for the other cleanser etc.The Argument also states that employees working at buildings cleaned with CleanAll used fewer sick days than employees working at buildings cleaned with other cleansers.Now we dont know what types of buildings are this,if employees used sick days only when they were sick.
Firstly the argument assumes that CleanAll removes more dirt and kills more bacteria than the next best cleanser.Now we dont know from how many different cleansers,the second cleanser was selected and also there could exist another better cleanser than the second cleanser which may have not been considered.We also dont know on what conditions the cleaners were used.Consider if CleanAll was used in city office buidlings where there is less dirt and bacteria and the second cleanser was used in some rural office where we would have more dirt then obviously CleanAll will show better results.The Quantities of these cleansers used is also unknown,so if more amount of CleanAll is used,it will show better results.
Secondly,the argument assumes that employees working at buildings cleaned with CleanAll used fewer sick days than employees working at buildings cleaned with other cleansers.These employees taking a hoilday by using sick days could not be sick also.The Validity of their medical certificate should be checked.So if false sick days were used then the employees were not sick and this weakens the assumption.Also we need to know if the buidlings are similar,consider if the buidlings cleaned by CleanAll are in city centre and the buildings cleaned by other cleanser is near a mining or construction site then the probability of employees falling will be high in these buildings as it is near a mine not because of the cleansers used.There could be also chances of employees who are sick reporting to office as they may get a cut in their salary.Now this will also prove the assumption wrong as sick days taken are counted but they do not check if the employee reporting is in good health.
All these instances can weaken this argument.The argument does not stand true as enough data is not provided to validate it.Thus we cannot say that CleanAll should be used in all industrial buildings to prevent employee illness.
- In a laboratory study of two different industrial cleansers, CleanAll was found to remove 40% more dirt and kill 30% more bacteria than the next best cleanser. Furthermore, a study showed that employees working at buildings cleaned with CleanAll used far 50
- To understand most important characteristics of a society,one must study its major cities. 50
- Over past two years, the number of shoppers in Central Plaza have steadily decreased while the populairty of skateboarding has increased dramatically.Central Plaza owners believe that the decrease in their business is due to the number of skateboard users 50
- People who make decisions based on emotion and justify those decisions with logic afterwards are poor decision makers.Write a response in which you discuss the extent to which you agree or disagree with the statement and explain your reasoning for the pos 50
- An international development organization, in response to a vitamin A deficiency among people in the impoverished nation of Tagus, has engineered a new breed of millet high in vitamin A. While seeds for this new type of millet cost more, farmers will be p 50
Grammar and spelling errors:
Line 1, column 85, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , where
...erent industrail cleansers was conducted,where it is found that CleanAll removed 40% m...
^^^^^^
Line 1, column 193, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: We
...% more bacteria than the other cleanser.We could not surely say this is valid info...
^^
Line 1, column 300, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , number
...ata like conditions where they were used,number of clenaers considerd for the other cle...
^^^^^^^
Line 1, column 357, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: The
...rs considerd for the other cleanser etc.The Argument also states that employees wor...
^^^
Line 1, column 526, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Now
... buildings cleaned with other cleansers.Now we dont know what types of buildings ar...
^^^
Line 1, column 533, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: don't
...ngs cleaned with other cleansers.Now we dont know what types of buildings are this,i...
^^^^
Line 1, column 575, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , if
...nt know what types of buildings are this,if employees used sick days only when they...
^^^
Line 2, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...ed sick days only when they were sick. Firstly the argument assumes that CleanA...
^^^^^^^^^^^^^^^^^^^^^
Line 3, column 114, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Now
...re bacteria than the next best cleanser.Now we dont know from how many different cl...
^^^
Line 3, column 121, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: don't
...eria than the next best cleanser.Now we dont know from how many different cleansers,...
^^^^
Line 3, column 140, Rule ID: NUMEROUS_DIFFERENT[1]
Message: Use simply 'many'.
Suggestion: many
...best cleanser.Now we dont know from how many different cleansers,the second cleanser was selec...
^^^^^^^^^^^^^^
Line 3, column 164, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , the
...t know from how many different cleansers,the second cleanser was selected and also t...
^^^^
Line 3, column 309, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: We
...nser which may have not been considered.We also dont know on what conditions the c...
^^
Line 3, column 317, Rule ID: EN_CONTRACTION_SPELLING
Message: Possible spelling mistake found
Suggestion: don't
...ch may have not been considered.We also dont know on what conditions the cleaners we...
^^^^
Line 3, column 369, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Consider
... what conditions the cleaners were used.Consider if CleanAll was used in city office bui...
^^^^^^^^
Line 3, column 546, Rule ID: LESS_MORE_THEN[1]
Message: Did you mean 'than'?
Suggestion: than
...al office where we would have more dirt then obviously CleanAll will show better res...
^^^^
Line 3, column 595, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: The
...ously CleanAll will show better results.The Quantities of these cleansers used is a...
^^^
Line 3, column 649, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , so
... of these cleansers used is also unknown,so if more amount of CleanAll is used,it w...
^^^
Line 3, column 687, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , it
...wn,so if more amount of CleanAll is used,it will show better results. ...
^^^
Line 4, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...l is used,it will show better results. Secondly,the argument assumes that emplo...
^^^^^^^^^^^^^^^^^^^^^^
Line 5, column 9, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , the
...results. Secondly,the argument assumes that employees working...
^^^^
Line 5, column 175, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: These
... buildings cleaned with other cleansers.These employees taking a hoilday by using sic...
^^^^^
Line 5, column 245, Rule ID: ALSO_SENT_END[1]
Message: 'Also' is not used at the end of the sentence. Use 'as well' instead.
Suggestion: as well
...ay by using sick days could not be sick also.The Validity of their medical certifica...
^^^^
Line 5, column 250, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: The
... using sick days could not be sick also.The Validity of their medical certificate s...
^^^
Line 5, column 310, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: So
...r medical certificate should be checked.So if false sick days were used then the e...
^^
Line 5, column 407, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Also
...ot sick and this weakens the assumption.Also we need to know if the buidlings are si...
^^^^
Line 5, column 407, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Also,
...ot sick and this weakens the assumption.Also we need to know if the buidlings are si...
^^^^
Line 5, column 456, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , consider
...eed to know if the buidlings are similar,consider if the buidlings cleaned by CleanAll ar...
^^^^^^^^^
Line 5, column 733, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: There
... mine not because of the cleansers used.There could be also chances of employees who ...
^^^^^
Line 5, column 845, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Now
...e as they may get a cut in their salary.Now this will also prove the assumption wro...
^^^
Line 6, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... employee reporting is in good health. All these instances can weaken this argu...
^^^^^^^^^^^^^^^^^^^^^^
Line 7, column 46, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: The
...hese instances can weaken this argument.The argument does not stand true as enough ...
^^^
Line 7, column 125, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: Thus
...ugh data is not provided to validate it.Thus we cannot say that CleanAll should be u...
^^^^
Line 7, column 125, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Thus,
...ugh data is not provided to validate it.Thus we cannot say that CleanAll should be u...
^^^^
Transition Words or Phrases used:
also, but, first, firstly, if, may, second, secondly, so, then, thus
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 29.0 19.6327345309 148% => OK
Auxiliary verbs: 17.0 12.9520958084 131% => OK
Conjunction : 9.0 11.1786427146 81% => OK
Relative clauses : 13.0 13.6137724551 95% => OK
Pronoun: 34.0 28.8173652695 118% => OK
Preposition: 36.0 55.5748502994 65% => OK
Nominalization: 10.0 16.3942115768 61% => OK
Performance on vocabulary words:
No of characters: 2156.0 2260.96107784 95% => OK
No of words: 418.0 441.139720559 95% => More content wanted.
Chars per words: 5.15789473684 5.12650576532 101% => OK
Fourth root words length: 4.52162009685 4.56307096286 99% => OK
Word Length SD: 2.78539592138 2.78398813304 100% => OK
Unique words: 180.0 204.123752495 88% => More unique words wanted.
Unique words percentage: 0.430622009569 0.468620217663 92% => More unique words wanted or less content wanted.
syllable_count: 636.3 705.55239521 90% => OK
avg_syllables_per_word: 1.5 1.59920159681 94% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 4.0 4.96107784431 81% => OK
Article: 7.0 8.76447105788 80% => OK
Subordination: 1.0 2.70958083832 37% => OK
Conjunction: 0.0 1.67365269461 0% => OK
Preposition: 0.0 4.22255489022 0% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 4.0 19.7664670659 20% => Need more sentences. Double check the format of sentences, make sure there is a space between two sentences, or have enough periods. And also check the lengths of sentences, maybe they are too long.
Sentence length: 104.0 22.8473053892 455% => The Avg. Sentence Length is relatively long.
Sentence length SD: 271.99310653 57.8364921388 470% => The lengths of sentences changed so frequently.
Chars per sentence: 539.0 119.503703932 451% => Less chars_per_sentence wanted.
Words per sentence: 104.5 23.324526521 448% => Less words per sentence wanted.
Discourse Markers: 17.0 5.70786347227 298% => Less transition words/phrases wanted.
Paragraphs: 4.0 5.15768463074 78% => More paragraphs wanted.
Language errors: 34.0 5.25449101796 647% => Less language errors wanted.
Sentences with positive sentiment : 0.0 8.20758483034 0% => More positive sentences wanted.
Sentences with negative sentiment : 4.0 6.88822355289 58% => More negative sentences wanted.
Sentences with neutral sentiment: 0.0 4.67664670659 0% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.414640340017 0.218282227539 190% => OK
Sentence topic coherence: 0.256205945417 0.0743258471296 345% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.131411693692 0.0701772020484 187% => OK
Paragraph topic coherence: 0.256205945417 0.128457276422 199% => OK
Paragraph topic coherence SD: 0.131411693692 0.0628817314937 209% => More connections among paragraphs wanted.
Essay readability:
automated_readability_index: 55.1 14.3799401198 383% => Automated_readability_index is high.
flesch_reading_ease: -25.62 48.3550499002 -53% => Flesch_reading_ease is low.
smog_index: 11.2 7.1628742515 156% => OK
flesch_kincaid_grade: 42.7 12.197005988 350% => Flesch kincaid grade is high.
coleman_liau_index: 13.83 12.5979740519 110% => OK
dale_chall_readability_score: 11.59 8.32208582834 139% => OK
difficult_words: 74.0 98.500998004 75% => More difficult words wanted.
linsear_write_formula: 54.0 12.3882235529 436% => Linsear_write_formula is high.
gunning_fog: 43.6 11.1389221557 391% => Gunning_fog is high.
text_standard: 12.0 11.9071856287 101% => OK
What are above readability scores?
---------------------
Rates: 50.0 out of 100
Scores by essay e-grader: 3.0 Out of 6
---------------------
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.