Sentence examples for business sample from inspiring English sources

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 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

This article examines the evolution of sample survey data, often called microdata, in economics; discusses household as well as business sample surveys; examines the distinction between cross-sectional and longitudinal microcdatabases; and summarizes the main features of a selection of the most important microeconomic databases in the USA and otehr countries.

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.

Just over a third of the non-business sample comprised of students, and the rest were a mix of housewives, unemployed/retired, and those employed in the public sector such as health and education, and a variety of occupations.

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.