The city of Winston has two large department stores: Namen and Roscoe. Namen is known for its high-end designer fashions, while Roscoe is known for more affordable fashion options. Both Namen and Roscoe are each considering opening another store in the growing suburb of Salem, where the population has grown over 50% in the last three years and where the median income is $75,000. Namen’s executives argue that as population and median income increase, people are willing to spend more money on clothing. However, Roscoe’s executives believe that the suburbs are more family oriented, and therefore their store will be more profitable than their competitor Namen.
Write a response in which you discuss what questions would need to be answered in order to decide whether the recommendation is likely to have the predicted result. Be sure to explain how the answers to these questions would help to evaluate the recommendation.
Roscoe's executives suggest that Roscoe's stores will be a success as compared to their competitor Namen in suburb of Salem due to its population being more family oriented. Whereas, Namen's executives argue the opposite that Namen's stores will be a success due to more spending capacity of people in the region. Both Namen's and Roscoe's executives provide their predicted results on the basis of two seprate argumets based on the population of suburb of Salem. These predicted results depend of a number of questions that need to be answered before reaching to conclusion related to the decision of opening a store in the sujested area.
Firstly, data needs to be provided regarding what kindof clothes people in region of suburb of Salem are interested in buying. This data is extremely important as both the stores may be offering clothes that people in a particular region do not prefer. In that case opening both the stores in that region will be a bad idea.For instance, in New york people prefer buying more coats and leather jackets wheareas in California people prefer spending their money on shorts or casual tshirts. Hence, the clothes sold by one of Namen or Roscoe or both do not comply with the trend that is followed in terms of clothes in Salem then openinf stor eany this region will not profit them
Further, median family income can definitely be an important factor to consider while opening a store in a region for any designer store. But along with mediun family income we need to know what the median family expense is in that particula rregion. It is definatly possible that residents of regions with more family income may prefer buying designer clothes but for that they should be having money in their pockets to spend. For instance, in Vancuvor people have more earnings as comapred to any other states which may give out an impression that the speding capacity of population in that area may be on the higher side. But when we look at the skyrockting taxes in the area then it all makes sense why they have relatively more family median income. Hence, median family income should not be the only critirea for predicting wether people will be eager to spend more money. Rather a complete data of spending capacity of people in that area need to be presented for making any such predictions.
Furthermore, data of the age group of population in suburb of Salem needs to be presented so that it can be studied wether the stores comply with the requirement of shoppers in these areas. For instance, if population in this region is relatively young as compared to Winston, then they may not be interested in the same variety of clothing that people in Winston wear. Therefore, a carefull presentation of data of different age group and other attributes of people need to be presented in comparison with Winston for making a decision.
In conclusion, the arguments made by both Namen and Roscoe executives are both incomplete and no predictions should be made based on incomplete data. If in case such study need to be conducted then they need to present the answer to the above questions( preferably in form of statistical data) otherwise making decision solely on these two arguments by the executives can turn as a loss to the stores.
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Comments
e-rater score report
Attribute Value Ideal
Final score: 4.0 out of 6
Category: Good Excellent
No. of Grammatical Errors: 0 2
No. of Spelling Errors: 0 2
No. of Sentences: 19 15
No. of Words: 561 350
No. of Characters: 2665 1500
No. of Different Words: 223 200
Fourth Root of Number of Words: 4.867 4.7
Average Word Length: 4.75 4.6
Word Length SD: 2.504 2.4
No. of Words greater than 5 chars: 207 100
No. of Words greater than 6 chars: 130 80
No. of Words greater than 7 chars: 93 40
No. of Words greater than 8 chars: 54 20
Use of Passive Voice (%): 0 0
Avg. Sentence Length: 29.526 21.0
Sentence Length SD: 9.896 7.5
Use of Discourse Markers (%): 0.789 0.12
Sentence-Text Coherence: 0.347 0.35
Sentence-Para Coherence: 0.347 0.50
Sentence-Sentence Coherence: 0.138 0.07
Number of Paragraphs: 1 5
Transition Words or Phrases used:
but, first, firstly, furthermore, hence, if, look, may, regarding, so, then, therefore, whereas, while, as for, for instance, in conclusion
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 26.0 19.6327345309 132% => OK
Auxiliary verbs: 22.0 12.9520958084 170% => OK
Conjunction : 11.0 11.1786427146 98% => OK
Relative clauses : 17.0 13.6137724551 125% => OK
Pronoun: 36.0 28.8173652695 125% => Less pronouns wanted
Preposition: 93.0 55.5748502994 167% => OK
Nominalization: 10.0 16.3942115768 61% => OK
Performance on vocabulary words:
No of characters: 2667.0 2260.96107784 118% => OK
No of words: 560.0 441.139720559 127% => OK
Chars per words: 4.7625 5.12650576532 93% => OK
Fourth root words length: 4.8645985582 4.56307096286 107% => OK
Word Length SD: 2.49696180183 2.78398813304 90% => OK
Unique words: 215.0 204.123752495 105% => OK
Unique words percentage: 0.383928571429 0.468620217663 82% => More unique words wanted or less content wanted.
syllable_count: 882.0 705.55239521 125% => OK
avg_syllables_per_word: 1.6 1.59920159681 100% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 4.96107784431 0% => OK
Article: 0.0 8.76447105788 0% => OK
Subordination: 0.0 2.70958083832 0% => More adverbial clause wanted.
Conjunction: 0.0 1.67365269461 0% => OK
Preposition: 1.0 4.22255489022 24% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 1.0 19.7664670659 5% => 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: 560.0 22.8473053892 2451% => The Avg. Sentence Length is relatively long.
Sentence length SD: 0.0 57.8364921388 0% => The essay contains lots of sentences with the similar length. More sentence varieties wanted.
Chars per sentence: 2667.0 119.503703932 2232% => Less chars_per_sentence wanted.
Words per sentence: 560.0 23.324526521 2401% => Less words per sentence wanted.
Discourse Markers: 139.0 5.70786347227 2435% => Less transition words/phrases wanted.
Paragraphs: 5.0 5.15768463074 97% => OK
Language errors: 0.0 5.25449101796 0% => OK
Sentences with positive sentiment : 1.0 8.20758483034 12% => More positive sentences wanted.
Sentences with negative sentiment : 0.0 6.88822355289 0% => 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: 0.193286101615 0.218282227539 89% => OK
Sentence topic coherence: 0.193286101615 0.0743258471296 260% => Sentence topic similarity is high.
Sentence topic coherence SD: 0.0 0.0701772020484 0% => Sentences are similar to each other.
Paragraph topic coherence: 0.126239592481 0.128457276422 98% => OK
Paragraph topic coherence SD: 0.0639010195385 0.0628817314937 102% => OK
Essay readability:
automated_readability_index: 281.0 14.3799401198 1954% => Automated_readability_index is high.
flesch_reading_ease: -496.92 48.3550499002 -1028% => Flesch_reading_ease is low.
smog_index: 0.0 7.1628742515 0% => Smog_index is low.
flesch_kincaid_grade: 221.7 12.197005988 1818% => Flesch kincaid grade is high.
coleman_liau_index: 11.81 12.5979740519 94% => OK
dale_chall_readability_score: 34.34 8.32208582834 413% => Dale chall readability score is high.
difficult_words: 104.0 98.500998004 106% => OK
linsear_write_formula: 58.0 12.3882235529 468% => Linsear_write_formula is high.
gunning_fog: 226.0 11.1389221557 2029% => Gunning_fog is high.
text_standard: 222.0 11.9071856287 1864% => The average readability is very high. Good job!
What are above readability scores?
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Rates: 66.67 out of 100
Scores by essay e-grader: 4.0 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.