Wednesday, January 8, 2020

Story image for fashion industry from

Lily Collins Calls Out The Fashion Industry On Unhealthy ... 20, 2017
Lily Collins has spoken out about runway sizing, and the ongoing need for the fashion industry to discuss its impact on models' mental and physical health.
'To the Bone' Star Lily Collins on Why the Fashion Industry ...
Highly Cited-Hollywood Reporter-Jul. 20, 2017
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Social shift in style. Dior and Gucci officially dropping ultra ... 8, 2017
The laws, put into effect in May, aim to protect the wellbeing of men and women working in the fashion industry, and they're exacting. Before being hired for ...
Story image for fashion industry from Huffington Post Canada

Make A Choice To Change The Fast-Fashion Industry

Huffington Post Canada-Aug. 11, 2017
As stated by Lucy Siegle, "Fast fashion isn't free. Someone, somewhere is paying." In my last blog on the 8th Sustainable Development Goal, I talked about the ...
Story image for fashion industry from Forbes

Inside The Met Gala: The Money Behind Fashion's Biggest Night

Forbes-Apr. 28, 2017
“They create demand for the more affordable, mass-market lines of the brand. It's a powerful halo strategy.” Brands that are firmly outside the fashion industry can ...

1 comment:

Pearl Necklace said...

But what this means? When computing the responses of the respondents percentage distribution for each alternative is of the total number of respondents to the question, regardless of the substantive values of the alternatives. So, the question on the nature of employment distribution of answers to alternatives depends on the total number of respondents to this question, i.e. those who have temporary or permanent job, and those who do not have work. Because the total number of respondents increases because of the latter, so far data on the nature of employment we obtain a not group of people having work, and for all respondents. It is clear that these data are not entirely correct (they are understated), and the distortion will be greater, the more these groups differ in number.
Here is another example. "How often do You read fiction?" (often, seldom, rarely, never read). As in the previous example, the question is built on two bases: whether the intensity of reading fiction including among those who do not read literature at all. Calculate what happens if you build a set of alternatives not one, but two reasons. Let's say that half of the respondents read the literature, and the other half reads. Then the distribution of responses for alternatives in the first and second cases will be as follows: