Sentence examples for business samples from inspiring English sources

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.

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.

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.

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.

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

You will need to show businesses samples of your writing as well as taking a writing test to prove you have potential.

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.