Fashion Design

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For some people the term ‘fashion’ conjures up the idea of slavishly following the trends. But great fashion design has always gone at least a little against the grain – sometimes a lot. Comme des Garcons, became famous for putting the seams on the outside of garments. Turkish-British designer, Hussein Chalayan, was catapulted to fame with his final year fashion show at Saint Martins College, London. Chalayan had buried his entire collection, along with iron fillings, digging it up a little later on, after the iron had rusted all over the garments, transforming them completely. The next year Chalayan made garments from a washable, wearable type of paper. One of the more controversial creations of Alexander McQueen was his ultra low-cut pants or “bumsters,” as he liked to call them

But new technology can also be important in taking fashion into new areas, especially when it comes to fabric. It’s hard to believe now, but the invention of synthetic fabrics, such as nylon and polyester, revolutionized clothing. Today you can find synthetic suede (sometimes with patterns cut into it by the use of lasers), and fabric that is billed as ‘self ironing.’ And, let’s not forget all of the treatments and embellishments that we see on jeans these days. If you want to keep up to date with fabric technology, as well as fashion design, go to startingaclothingline.com, because innovation in the fashion industry is a constant theme.

At the moment you can find a lot of extravagantly embellished garments, such as tops covered in sequins, as well as dresses that are entirely pleated. One interesting new theme for Vera Wang is her mixing of different fabrics. Large fabric panels give her garments an edgy, almost futuristic uniform-look. And she is also cutting garments in an unexpected way, such as one organza dress, that appears almost ‘puffball’ because of its countless large folds, running the length of the dress, and held in by a plain corset.

This season London design company, Meadham Kirchhoff, has taken lots of these elements to a whole new dimension, combining modern fabrics with intentionally frayed seams and darts, visible on the outside, and accented white on an otherwise black dress. The company is also using appliqué – which, if done wrong, can look contrived and twee. But with white and gold, irregular-cut patches of overlapping fabric, climbing up a pair of pants, for example, Meadham Kirchhoff’s creations hint at camouflage. Fabric appears organic. One shirt, for example, cut in a white, see-through fabric, has seams running across it at diagonals, with the fabric appearing almost to drip onto the body. A tight fitting, knitted sweater, is created so that it appears to have two layers. The top is entirely black, and knitted irregularly, giving the impression of being ripped. This exposes the bottom layer of the sweater – robust, perfectly knotted black and white stripes.

Perhaps the most striking statement of Meadham Kirchhoff’s 2010 collection, though, is their new take on pants. Tight, with a slit across the knees, and a zipper running vertically below, these are meant to resemble knee-length boots. Another pair, cut in leather, comes with diamond cut knee patches (still with a horizontal slit exposing the skin), and with a zipper right above. For more information on the fashion industry visit www.startingaclothingline.com.

 

Jay Arrington is Co-owner of Harper Arrington Media Group, the parent company of www.StartingaClothingLine.com, and www.DigitalFashionPro.com. He along with his business partner Michael J. Harper has authored several books on fashion designing and on how to start a clothing line, with The Official Step by Step Guide to Starting a Clothing Line being one of their titles. They have also introduced the world to Digital Fashion Pro a fantastic fashion designing software, that allows the user to create lifelike fashion design sketches! In addition, the two are also the proud owners of Harper-Arrington Publishing www.HApub.com home of The Little Entrepreneur book series for kids and young adults, www.thelittleE.com. As entrepreneurs and educators it is very important to Jay and Michael that they provide fellow future and present business owners with the very best information possible!

Designer Anand Kabra is a free thinker, unconfined to any conventional style statement. His designs are born from a deeply personal space. His collections always reflect his own inner being while his philosophy is the belief of self expression. A product of international education blended perfectly with core Indian sensibility, this designer knows how to make an individual more glamorous without over powering them with the clothes.

Let’s get to know more about this designer who is termed as ‘the designer for the quintessential global woman’- How designing came into being… I wanted to be a doctor but things just fell into place one after the other for designing. I was sitting in the cafeteria in the London College of Fashion where I learned about form and design. There I discovered that there is no fixed form and definite design for making a collection. Splats of tomato sauce and coffee stains on a chequered table cloth proved the ultimate inspiration!

Your design philosophy… It’s the single thought you unearth after delving into sea of thoughts. It’s the thread I choose to weave into each creation. Latest buzz of one fashion week in Delhi… I have no clue what’s happening, my main concern was to concentrate on my work and how to improve it. Fashion trend getting repetitive… Fashion is always cyclic; you will see the same trend coming up after every 10-12 years. Staging of shows at fashion weeks needs to make business sense. It is not about established or new designers — the objective of showing a collection differs from designer to designer. Some people use it for visibility and some for sales — but whatever the case, it needs to translate into business returns, whether immediate or long-term.

The coming of fashion hub… so you see the plan coming out of paper… I do not know seriously, there is so much happening everywhere that this news has been lost somewhere… at least I can not comment on this. Has recession affected the fashion industry… There are slight changes in the buying pattern and it’s all boiled down to need-based buying as opposed to impulsive buying; everyone is looking to get ‘value for money’ and multiple buys have been reduced to single purchases. The consumer is still willing to spend money provided it is justified.

The designers that you admire… I like the style of French designers, crafts technique of Japan and Indians of course which is the mix of everything. Western silhouettes is as much as part of our Indian ness as is the Indian ethos in international style. Your future projects…I am busy promoting some of my stores then will come up with a new couture range for the next season. I might do Kolkata Fashion Week also.

For more information for Fashion Tips and beauty related product, fashion tips for Celebrity Fashion and fashion deals online you can visit stylekandy.com

Fashion has become a statement these days, style culture, tradition, likes, ethnicity are factors which combines when, can be seen in the outlook a person. Personality grooming constitutes a major portion of fashion, clothing or the attire of a person. The persona of a person is said to be reflected in the way he dresses himself. Every human being has his own style statement which corresponds to the clothing sense and the way he carries himself. These clothes and the accessories we wear forms the part of fashion designing. Not only clothes, shoes, accessories, bags, all forms a part of fashion designing, and the professionals designing them are called fashion designers.

Fashion Designer Jobs has grown manifold due to the awareness of the common masses about different products in this line and their increasing consciousness about their looks and appearance. As it is said, first impression is the last impression and the first impression of any person we see is formed by the clothing style he carries and fashion designers play an important role in the forming that impression. The professionals in fashion designing always seek some new ideas to implement in their productions, which are then practised by the common masses in the form of wearing their clothes and other designed forms.

Candidates aiming for Fashion Designer Jobs must be very much aware of the types of cloth and should posses’ familiarity with the quality and life of the cloth and material concerned. A fresher from college, applying for job in the fashion industry is generally advised to first in large fashion houses as a trainee. Because, it is being a trainee that one gets to know all the intricacies of the industry and gets familiar with the working culture. Following are the sectors, working under which, one can be a part of fashion industry:

1.) Textile Industry
2.) Retail Sector
3.) Accessory Designing
4.) Shoe Designing
5.) Jewellery designing
6.) Leather
7.) Technical textile
8.) Chemicals and dyes

Delhi and Mumbai are known as the fashion hubs of the country due to the demand of fashion products in these cities. They have many famous fashion houses and stores or show rooms of the respective brands. Indian fashion industry has grown a lot, also due to its traditional factor. The traditional and cultural attires of India are highly demanded in the foreign lands. Also, many Indian designers have adopted their area as western dressing, and have been equally successful all over the world. Though a person in the starting has to work as a trainer or intern, but with time and as he earns expertise in the field, he can also start his own brand. Creativity and innovation are the success drivers in the fashion industry.

Other than creativity and originality, one also need to have good communication skills and the ability to socialise. Such talents and professions, come into highlight with the word of mouth, therefore one needs to talk about his products and talent more often to let the people know about his work and interests. These days, internet plays a major role in socialising; one can easily market your brand in the market through the net. Social networking sites, blogs, are the ways through which one can write about his views and can showcase his work to the entire world. It’s a very interactive and useful media to track the target audience and best thing is that one can know the feedback of his work from his clients on the spot. Other than working as a designer one can work as a business developer, analyst, store manager or technical designer in the fashion industry, which enlarges the arena and the scope of work for the candidates in the industry.

Gurleen writes on behalf of Naukri.com, the no.1 job portal in India.She writes on topics like Fashion Designer Jobs, Media Jobs and increasing work concentration. Naukri.com is a recruitment platform & provides products and services like resume writing services, Salary Tool, Resume Database Access & Response Management tools to corporate world, placement agencies and job seekers in India and overseas.

Want to change the way you look? Want some trendy clothes for the season? Never seem to know what to buy and what will look good on you? Hire the services of a fashion stylist.

Fashion stylist – a word unheard of till recently – is one of the emerging professions in the fashion world globally. Who is a fashion stylist? A ‘fashion stylist’, as the name suggests, works with fashion trends to create a distinct style for a particular individual. The individual can be anyone from a model or a celebrity to a pressed-for-time business person or just anyone who wishes to create a distinct image of himself or herself.

Tasks such as keeping track of the latest trends in fashion, maintaining a network of contacts, deciding what would look good on people, finding suitable dresses and accessories and either hiring or purchasing them, helping people build a wardrobe as well as dressing up people fall under the purview of a fashion stylist.

The services of fashion stylists are generally employed by newspapers, magazines and advertising agencies. In this case, they are required to dress up the models for shoots. A major part of the job involves planning what would look good on each model, deciding from where to buy or hire these dresses and accessories depending on the budget, bringing them to the shoot and actually dressing up the models. They are in charge of generating the kind of image that the newspaper, magazine or advertising agency wishes to portray.

Fashion stylists are also used by celebrities like actors, singers and television hosts. Such stylists are typically referred to as ‘celebrity stylists’. Their job is to create a distinct image for the celebrity. This may be related to just a particular movie or show or an image change in general. The Oscar-winning Bollywood actresses Meryl Streep and Halle Berry owe their glamorous look to stylist Wayne Scot Lucas. In Hollywood too, fashion designer Manish Malhotra turned fashion stylist for Bollywood actresses Karisma Kapoor and Rani Mukherjee to give them a new look. He worked with both of them and transformed them from just talented actresses to trend-setting starlets.

There is another class of fashion stylists, who are referred to as ‘personal stylists’ or ‘image consultants’. They work with individuals who need a makeover, a complete change of image. Many businesspersons are going in for the services of personal stylists today to build up a different image. Personal stylists work in close proximity with their clients to determine which style would suit them the most.

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Fashion designers:

Introduction:

This paper analysis the income levels of employees in the fashion designers industry, this industry according to the bureau of labour in the United States it is estimated that this industry employs over 20,000 individuals according to the year 2006 statistics. This industry mainly focuses on dress making, clothing, shoes of different styles and making.

Data on the income levels of employees in the fashion industry was retrieved from the bureau of statistics in the US

The data:

Data was retrieved the data contains employment levels in these states, hourly wage rate and the mean annual income in terms of wage, the data below shows the data:

Area name

Employment

Hourly mean wage

Annual mean wage(2)

Los Angeles-Long Beach-Glendale, CA Metropolitan Division

2500

34.34

71430

Los Angeles-Long Beach-Santa Ana, CA

2920

33.66

70010

Riverside-San Bernardino-Ontario, CA

30

27.19

56560

San Francisco-Oakland-Fremont, CA

240

36.25

75400

San Francisco-San Mateo-Redwood City, CA Metropolitan Division

150

33.8

70310

Santa Ana-Anaheim-Irvine, CA Metropolitan Division

410

29.49

61350

Washington-Arlington-Alexandria, DC-VA-MD-WV

30

27.07

56300

Boston-Cambridge-Quincy, MA-NH

680

29.8

61990

Boston-Cambridge-Quincy, MA NECTA Division

450

29.61

61600

Brockton-Bridgewater-Easton, MA NECTA Division

60

27.33

56850

Providence-Fall River-Warwick, RI-MA

50

24.5

50970

Minneapolis-St. Paul-Bloomington, MN-WI

90

27.64

57490

Allentown-Bethlehem-Easton, PA-NJ

30

30.87

64200

Edison, NJ Metropolitan Division

50

31.12

64720

New York-White Plains-Wayne, NY-NJ Metropolitan Division

6920

37.7

78410

Nassau-Suffolk, NY Metropolitan Division

380

37.28

77540

New York-Northern New Jersey-Long Island, NY-NJ-PA

7390

37.71

78450

New York-White Plains-Wayne, NY-NJ Metropolitan Division

6920

37.7

78410

Portland-Vancouver-Beaverton, OR-WA

200

32.01

66590

Allentown-Bethlehem-Easton, PA-NJ

30

30.87

64200

Philadelphia, PA Metropolitan Division

120

25.47

52970

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD

270

31

64480

Reading, PA

270

20.22

42050

Dallas-Plano-Irving, TX Metropolitan Division

550

37.22

77420

Fort Worth-Arlington, TX Metropolitan Division

40

14.42

29980

Portland-Vancouver-Beaverton, OR-WA

200

32.01

66590

Seattle-Bellevue-Everett, WA Metropolitan Division

160

27.03

56210

Seattle-Tacoma-Bellevue, WA

160

27.03

56210

Minneapolis-St. Paul-Bloomington, MN-WI

90

27.64

57490

Bridgeport-Stamford-Norwalk, CT

110

25.68

53410

Mean, standard deviation and median:

When we use ungrouped data to analyse the mean and the median of the data our results are as follows:

total

31500

903.66

1879590

mean

1050

30.122

62653

standard deviation

2147.812038

5.384997295

11203.3099

MIN

30

14.42

29980

MAX

7390

37.71

78450

RANGE

7360

23.29

48470

The mean hourly wage is 30.12 dollars, the range is 23.29 and our standard deviation is equal to 5.38, these are measures of central tendencies of data, the mean gives us an estimate of the hourly wage rate in the fashion industry and the standard deviation give us the measure of deviations from the mean of the different wages paid by different states.

Grouped data:

When we group the data into 6 classes and considering the class interval to be two then we will be in a position to obtain our frequency and therefore construct a histogram, after grouping our data the results are as follows:

class

frequency

cummulative frequency

percentage

10.50 TO 15.50

1

1

3%

15.51 TO 20.50

2

3

7%

20.51 TO 25.50

4

7

13%

25.51 TO 30.50

8

15

27%

30.51 TO 35.50

9

24

30%

35.51 TO 40.50

6

30

20%

30

100%

Our histogram will be as follows:

This histogram shows that there is a high possibility that the wage rate will be between 30.51 to 35.50, to be precise the probability that the wage rage will be at this level is 0.5 or 50% probability.

Also our or give will be as follows:

The orgive represents the cumulative frequency data and shows the trend of the cumulative frequency to the 100% level.

The stem and leaf:

A stem and leaf diagram displays the trends in data and also gives us an overview of the nature of the data, whether skewed or normal distribution. Below is the stem and leaf diagram:

Stem and leaf

14

42

20

22

24

50

25

47

68

27

19

07

33

64

03

03

29

49

80

61

30

87

88

31

12

0

32

01

07

33

66

80

34

34

36

25

37

70

28

71

70

22

The above is the stem and leaf representation of the data, it is clear that most of the observation are in the wage rate 27, this data therefore is skewed to the left and does not assume a normal distribution.

Binomial probability distribution:

The binomial probability distribution is applied to find the probability that an outcome will occur in a given number of trials. The variable in this case however must be a discrete dichotomous random variable, in this distribution we consider n identical trials, each trial has two possible outcomes where we refer to a success and the other as a failure, a success in our case will be denoted as P and a failure will be denoted as Q. finally the outcome of one trial does not affect the outcome of the other trial,

In our case we will construct the binomial probability distribution using the statement that the employment level in the fashion and design industry is expected to grow by 5%, assuming that our level of employment in our selected states is 12,000 then we expect that in 2016 the employment level will be 70,000.

According to this statistics the employment level is based on a 2006 report and therefore the time period is 10 years, which also means 120 months, so employment level is expected to increase by 5 individual each month. This statistics were retrieved . if now we assume that the probability of this happening is 70% then our binomial probability distribution will be as follows:

The binomial probability function is given by:

P (x) =    n        ∏ x ( 1-∏ ) n-x

X

Where in our case n = 5 which is the number of employment per month, x = 0,1,2,3,4,5) which are the number of outcomes per month, ∏ = 0.7 which is the probability that the employment level will increase by 5% from 2006 to 2016.

Our binomial distribution is as follows after calculations:

x

P(x)

0

0.00243

1

0.02835

2

0.1323

3

0.3087

4

0.36015

5

0.16807

If we are to draw a chart regarding the binomial probability distribution then our chart will be as follows:

The binomial probability distribution helps us estimate the probability of an outcome, in this case we can be in a position to estimate the probability for example what is the probability that the persons who are likely to be employed will be greater than 2 individuals, more than 3 individuals or even less than one individuals, for this reason therefore the probabilities can be calculated by adding the probabilities of each outcome to come up with the desired answer in question.

Hypothesis testing:

We still consider our data from the fashion design industry to analyse the data, in hypothesis testing we will consider hypothesis test for the data and stating the null and alternative hypothesis, in this case therefore it is clear that we will have to use the T table, Z table or even the F table on the nature of the test and deepening on the hypothesis in question

Confidence interval:

90% confidence interval:

When we are constructing the confidence interval we consider the standard deviation, the mean and the value from the T tables at 90% level of measure: we lookup 10% at two tail from the T table and the figure is 2.015048:

Our confidence interval will take the following form:

P(x – st) ≤ (x + st) = 90%

Where X is the mean, S is the standard deviation and T is the value from the tables:

P(32.54 –(3.07 X 2.015) ≤ X ≤ (32.54 + (3.07 X 2.015) = 90%

P(26.35395) ≤ X ≤ (38.72605) = 90%

This confidence interval states that at 90% confidence interval the mean will range from 26.35 to 38.72 where they are the lower and upper bound respectively. This also means that we are 90% confident that the mean ranges from 26.35 to 38.72

95% confidence interval:

When we lookup 5% at two tail t test then the value is 0.726687, therefore our confidence interval will be as follows:

P(32.54 –(3.07 X 0.726687) ≤ (32.54 + (3.07 X 0.726687) = 95%

P(30.30907091) ≤ X ≤ (34.77093) = 95%

This confidence interval states that at 95% confidence interval the mean will range from 30.30 to 34.77 where they are the lower and upper bound respectively. This also means that we are 95% confident that the mean ranges from 30.30 to 34.77.

From the measure of confidence interval it is clear that when we consider a larger confidence interval then it is clear that the lower is the range of the interval as compared to when we use a lower confidence interval.

Linear regression:

We will perform the regression model on the employment level and the hourly wage rate, we will assume that the higher the level of employment then the higher is the wage rate, therefore we will assume that the wage rate dependent on the rate of employment, in this case therefore our dependent variable will be wage rate and the independent variable will be employment level:

After estimation our:

B = 0.0005673

α = 31.391809

Therefore our estimated model will take the following form below:

Y = 31.39 + 0.0005673 X

We can define this model as follows, if we hold all other factors constant and the level of employment is zero then the level of wage rate will be 31.39. if we hold all other factors constant and increase the level of employment by one unit then the wage rate level per hour will increase by 0.0005673 units.

For this reason therefore it is clear that our earlier stated objective has been achieved, this is in reference to the objective that an increase in employment will raise the wage rate level.

Correlation:

When we undertake the calculation of the Pearson correlation coefficient then our correlation after calculation is equal to 0.8366, from the figure of the coefficient it is clear that we have positive correlation between the two data, we also have a moderately strong relation and this is obtained by the fact that the correlation coefficient is close to 1, we therefore can conclude that there is a strong positive correlation between employment and wage rate per hour.

Summary:

From our statistical analysis that we have performed on the fashion and design industry it is clear that the industry provides employment to a large number of individuals in the United States, in our selected states which are 6 in number the industry employs over 12,000 individuals according to the 2006 statistics.

According to the bureau of labour in the United States the growth rate of this industry is expected to grow by 2016 where its employment rate will increase by 5%, when calculating using the percentage given then it is clear that by 2016 the employment level of the industry in our selected state will increase from 19,000.

When we perform a linear regression estimation of the data and consider that the wage rate is dependent on the employment level then it is clear that the employment level positively affect the wage rate, this is to say that the higher the employment level then the higher is the wage rate. Further we found a strong correlation coefficient between wage rate and employment.

Finally we conclude by saying that there is a need to use a larger sample size in order to get a clearer picture of the fashion and design industry, a large data sample will allow us to overcome biasness in statistical analysis, samples are expected to be a representative of the entire population, for this reason therefore there is need to select a larger sample size and compare the results.

References:

Burbidge (1993) Statistics: An Introduction to Quantitative Research,

McGraw Hill, New York

Kroenke (1997) Data Processing: Fundamental, Design and Implementation, Prentice Hall publishers, New York

United States bureau of statistics (2008) the fashion design industry, retrieved on 9th January

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