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9%)
3. The age range of 45-54 had the highest amount of women (54%) using the low-cholesterol diet followed by 55 and over (49%), then 35-44 age range (46%) least in the 1-24 age range (29%). It seems that preference for this diet peaks amongst females in the late middle years. With men, there is a slightly different shift with the majority (35%) actually preferring this diet in their older years and regressing as they decrease in age, with a major shift occurring between the 13% in the age interval 16-24 and the 25% of the age interval 25-34. Of the difference between the sexes, women by far (54% at its peak) are more interested in the diet than men. As comparison between the ages, the diet seems most popular from 45 years onwards (43%); somewhat popular between the ages 25-34 and 35-44 (34% and 37% respectively) and least popular in the youngest age interval (21%). Apparently, its popularity increases with age. In short, I would market that specific diet to the late middle-age / elderly individual, targeting preferentially females.
5. Nominal and ordinal scales are typically used in cross-tabulation analysis, although interval and ratio could be used too. (All would be interpreted as nominal).
6. I think that data analysis and interpretation, although heavily used in the managerial / business sciences are not exclusively business-oriented since they are employed across the board in all sciences from the social and behavioral fields to journalism for instance. Statistics...
156 participants responded that they had received valuable information in filing their tax forms. These positive respondents represented 29.5% of the total (528 individuals) surveyed (146/528). The adjusted frequency of the whole (the approximate percentage comparison of the whole) was 29.8%. On the other hand, far more participants (n= 368) found the suggestions unhelpful or trivial. This number represented 69.5% of the whole. As comparison, or adjusted frequency (as consider plotting this on a pie chart for illustration) it would approximate 70.2%. Of those who didn't know, 1% responded here with 2% of this segment missing (i.e., unreadable). Similarly, 1% responded with uncertainty regarding the helpfulness of the information, with 2% data missing (i.e. illegible). 2% of the data were returned blank, and 4% missing (which probably missing data was totally unreadable).
8. The majority (n=46) responded that they had learned about another deduction. This represented 8.7% of the total 528 participants; 31.3% adjusted frequency (when compared to the total amount). 44 participants were helped by miscellaneous information; 8.3% of the total 528 participants; 29.9% adjusted frequency. 40 participants reported that they received certain forms / pamphlets that they found helpful; 7.6% of the total 528 participants; 27.2% adjusted frequency. Only 9% reported that the information about which forms to use was helpful to them (this figure represented 1.7% of the total 528 participants; 6.1 when compared to the whole), whilst 8% (1.5% relative frequency and 5.4% adjusted frequency) responded that they had learned about energy credit.
2.4% reported "not sure" or illegible in their response. 373 (or 70.6%0 were returned missing or blank.
8. I don't see why it shouldn't be ethical. I'm not sure if this analyst is a machine or a professional, but, either way, the same applies. A regular data processing system such as popularly SPSS or commonly Excel simply takes the places of human calculation on a more sophisticated level. Data processing can actually be done by…
Competence is the foremost ethical principle for professionals. Their training should be appropriate to the services they render. The only possible exception to when a professional psychologist should offer services that are outside of the realm of his or her training is in emergencies when otherwise service of any type would be denied or unavailable (APA, 2010). Professionals should keep up with the prevailing research trends, by attending professional development
Because Justinian attempted to keep portions of the Mosaic law because of his own Christianity, Hammurabi's code, which influenced Mosaic law, continued to influence the legal system of cultures even into the Christian era. All three laws legislated both public and private life, including sexual life and family relations, and prescribed death as a punishment for a variety of crimes, including adultery (Norsoto). One major difference between the laws
Labeling Theory: Theories of Deviance In sociology and criminology, labeling theorists were among the first to suggest that crime was not produced by inherent defects within the individual’s biology or character, but rather was a social construction. Labeling theorists suggested that crime was the result of society’s need to label certain individuals as deviant. This labeling became a self-fulfilling prophesy, to the point that the labeled individuals made their deviant label
Labeling and Conflict Theory Conflict theory is largely based upon a Marxist conception of human relations. It suggests that the definition of crime is created by social elites to bolster their social position. For example, for many years within the criminal justice system, the crime of using crack cocaine was penalized significantly more than the use of powder cocaine. Not coincidentally, a Marxist theorist would note, people living in the inner
Further sub-categorization allows for greater comparison and contrasting of different categories and can make the data sets more meaningful. Not all of these codes will be decided beforehand -- in fact, it can be more enriching for the final analysis to break down the data afterwards, to ensure that the lived experience of the subjects affects the coding process. Coding is often thought of in terms of word-based strategies of
Tesco, the largest UK company, employs 260,000 people. This corporation has global aspirations and has come a long way in a relatively short period of time" (2003, p. 3). According to the company's promotional literature, the employment figure for 2003 has almost doubled today, as shown in Table 1 below. Table 1 Current Key Figures for Tesco Category Statistic Staff worldwide 472,000 Staff in the UK 287,669 Stores worldwide 5,008 Total stores in the UK 2,545 Extra 13 Homeplus Superstore Metro Express OneStop Number of markets 14 Which markets China, Czech Republic, Hungary,