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Thus, the existing relationship with the businesses sampled is likely to explain the higher response rate in WA, why a higher proportion of owners were interviewed, and provide a sample which may be less biased in terms of either having a specific interest in pandemic influenza or time or resource pressures than the NSW sample.
You will need to show businesses samples of your writing as well as taking a writing test to prove you have potential.
Not only can she shop in stores specializing in cosmetics, but she can also buy cosmetics at stores with other main businesses -- sampling a lip gloss called Dirty Girl, for example, at Anthropologie, a clothing and home furnishings store, or trying a "lip enhancer" called Pleasingly Plump at Victoria's Secret.
Also the business sample had a higher proportion of those in the 46 55 age range (n = 51) than the non-business sample (n = 29).
The business sample represented the full range of sectors, business types and levels.
Details of demographic differences between the non-business and business sample are presented later in the demographic interactions section.
There were significant differences in the age make-up of the business and non-business samples, in particular the non-business sample had a greater proportion of those in the 18 25 age range (n = 100) than the business sample (n = 36) presumably due to the high proportion of students in that sample.
The difference test on average score between these two business samples, taking into account the variable "financial capital at start-up", and significant at the 1% threshold.
Similar issues arise with a lower age profile in the non-business sample, and again it can be argued that business respondents who are high enough up in the organisation to speak from a business perceptive are more likely to be older on average than respondents from the non-business sample.
A further issue is that the non-business sample had a greater proportion of female respondents, which may account for some of the differences between business and non-business respondents.
The business sample had a significantly greater number of male respondents (n = 116) than female respondents (n = 54) while the public sample had more female respondents (n = 122) than male respondents (n = 103): chi-square = 19.775, df = 1, p < .001.001
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