Reference no: EM132923907

Another concern is the use (or abuse) of the term 'statistically significant' in correlational analysis. This concern is not new. The abuse of significance testing was noted in a 1987 review published in the New England Journal of Medicine. That article found that a number of components in clinical trials, such as having several measures of the outcome (i.e., multiple tests of function, health, or pain), repeated measures over time, including subgroup analyses, or multiple treatments in the same trial, can lead to a bias in reporting which exaggerates the size or importance of observed differences.20 It is natural for researchers to want to thoroughly evaluate the potential difference between treatments conditions. This has been sometimes referred to as the kitchen sink approach and it presents a problem for using significance tests. Significance as a statistical procedure addresses the question of the probability of the hypothesized occurrence.
1. Why is the utilization of the wood for fire and cooking contributed significantly to particulate pollution?
2.relate the 0.1 - 10 microns size to the atmospheric particulate matter?
3. Which aerosols have the best absorbing properties? Elaborate
4. Interconnect the role ofSulphate ions behind the yellow colour of smog
5. How are the PAN the reason behind photochemical smog causes in the bronzing of plants?
6.state the characteristic of composition of photochemical smog?
7. Which type of particulate is condensed form of vapours?
8.how is moulds a viable particulate?
9.justify; Air-borne particulates are classified as group 1 carcinogens.