The graph shows the percentage of male and female academic staff members across the faculties of a major university in 2012.
Summarise the information by selecting and reporting the main features, and make comparisons where relevant.
The bar chart presents the ratio of academic staff across seven majors by gender in a certain university in 2012. Overall, most male professors and lecturers taught in faculties such as engineering, business, or science, while female academic staffs mostly work in majors like education, arts, and medicine.
First of all, there was a significant difference between the amount of male to female professors in the engineering sector. Eight out of ten teachers were male, and female professors only made up 20% of the staff. However, in the education faculty, the number of female educators is roughly three times as much as male educators, showing the domination of women in this area.
In addition to engineering, there were three other sectors where the male academic staff made up a higher portion. In both business and science majors, the number of male professors was twice as much as females, and in the law sector, the ratio was 3:2.
The rest of the majors were dominated by women; however, the difference in ratio between the two genders was not as significant. In the medical faculty, there was roughly a difference of 5% between the ratio, while in the art major the percentage was 10%.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2020-10-28 | thatfrostbyte | 73 | view |
| 2020-04-13 | Maryielts | 67 | view |
| 2020-03-14 | Hector Padilla | 78 | view |
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- The graph shows the percentage of male and female academic staff members across the faculties of a major university in 2012 Summarise the information by selecting and reporting the main features and make comparisons where relevant 73
- Studies suggest that many teenagers these days prefer socialising online to meeting one another in person Why do you think this is the case What measures could be taken to encourage teenagers to spend more time meeting one another in person Give reasons f 73
Transition Words or Phrases used:
first, however, if, so, while, in addition, such as, first of all
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 10.0 7.0 143% => OK
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 6.0 6.8 88% => OK
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 33.0 33.7804878049 98% => OK
Nominalization: 10.0 3.97073170732 252% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1004.0 965.302439024 104% => OK
No of words: 202.0 196.424390244 103% => OK
Chars per words: 4.9702970297 4.92477711251 101% => OK
Fourth root words length: 3.76996954942 3.73543355544 101% => OK
Word Length SD: 2.65545957277 2.65546596893 100% => OK
Unique words: 108.0 106.607317073 101% => OK
Unique words percentage: 0.534653465347 0.547539520022 98% => OK
syllable_count: 320.4 283.868780488 113% => OK
avg_syllables_per_word: 1.6 1.45097560976 110% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 6.0 4.33902439024 138% => OK
Subordination: 2.0 1.07073170732 187% => OK
Conjunction: 4.0 0.482926829268 828% => Less conjunction wanted as sentence beginning.
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 9.0 8.94146341463 101% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 28.4097010036 43.030603864 66% => OK
Chars per sentence: 111.555555556 112.824112599 99% => OK
Words per sentence: 22.4444444444 22.9334400587 98% => OK
Discourse Markers: 7.22222222222 5.23603664747 138% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 5.0 3.70975609756 135% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 3.0 4.09268292683 73% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.211675660975 0.215688989381 98% => OK
Sentence topic coherence: 0.0936978721632 0.103423049105 91% => OK
Sentence topic coherence SD: 0.0572924345076 0.0843802449381 68% => OK
Paragraph topic coherence: 0.129976315274 0.15604864568 83% => OK
Paragraph topic coherence SD: 0.0696229364013 0.0819641961636 85% => OK
Essay readability:
automated_readability_index: 13.2 13.2329268293 100% => OK
flesch_reading_ease: 49.15 61.2550243902 80% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.9 10.3012195122 116% => OK
coleman_liau_index: 11.84 11.4140731707 104% => OK
dale_chall_readability_score: 8.25 8.06136585366 102% => OK
difficult_words: 45.0 40.7170731707 111% => OK
linsear_write_formula: 12.0 11.4329268293 105% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 12.0 11.0658536585 108% => OK
What are above readability scores?
---------------------
Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 Out of 9
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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.