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Just as for simple linear regression, we may construct a 100(1 )% con dence interval for a particular coef cient, i , as follows. We can be 100(1 )% con dent that the true value of a particular coef cient i lies within the following interval: bi (tn m 1 )(sbi ) where tn m 1 is based on n m 1 degrees of freedom, and sbi represents the standard error of the ith coef cient estimate. For example, let us construct a 95% con dence interval for the true value of the coef cient 1 for x1 , sugar content. From Table 3.1, the point estimate is given as b1 = 2.2090. The t-critical value for 95% con dence and n m 1 = 74 degrees of freedom is tn m 1 = 2.0. The standard

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Many of the signals that are transmitted by animals are afferential they communicate some information about the sender itself. Referential signals, by contrast, communicate information about an entity that is external to the communicating individual. They enable animals to communicate with one another about the things around them.

Unfortunately, except for Petrie s (1993a), none of the preceding studies employed designs that permitted testing whether their personality variables interacted with history of stressors or with other personality and coping variables in influencing injury risk Such limited designs will not elucidate the potential complexity of the relationship of personality factors to injury vulnerability and resiliency This limitation, and the equivocal findings, indicates the need for more research into the relationship of locus of control and competitive trait anxiety to injury vulnerability It also appears that sport-based instruments might yield more fruitful findings than general instruments In addition, when examining competitive trait anxiety, researchers may want to consider using a tool such as the Sport Anxiety Scale (SAS; Smith, Smoll, & Schutz, 1990) rather than the Sport Competition Anxiety Test (SCAT) used by previous researchers.

Bingman, V.P. (1998) Spatial representations in homing pigeons. In Spatial Representations in Animals, ed. by Healy, S., pp. 65 85. Oxford: Oxford University Press.

The advantages of mincing meat and fat, mixing with salt, using the intestines of game or domesticated animals, and drying evidently came later. Some think that dry sausage making has been known for two to four thousand years, and that Roman legions had a supply of dried sausages that did not spoil for a long time (Bacus 1984). Raw sausage ripening and drying used meat, fat, salt, and spice, with no substances added to reduce ripening time because nothing was known about microorganisms and their role in this process. Still, early sausage makers must most likely have had positive experiences with the addition of a small amount of successfully produced sausage to the new sausage raw material (back slopping), similar to the leavening given to bread. Thanks also to the pioneering works of Pasteur in fermentation and to the excellent scientists Niinivaara and Niven, a determinant change came through in this technology: with their contribution, we learned about the important role of microorganisms, and we are able to exploit their abilities in manufacturing raw sausages, thus ensuring consistency in quality and food safety, along with reduced ripening-drying time. Interestingly enough, the conquest of useful microbes, starter cultures as they are called, was overwhelmingly successful in sausage technology, while it was not so successful in the production of traditional raw ham (Iberian and Parma ham). Some dry sausage technologies also insist on traditional

The SCAT employs a unidimensional measure of anxiety, whereas SAS distinguishes between cognitive and somatic trait anxiety Different levels of these subtypes of anxiety may differentially influence cognitive appraisals and attentional and physiological disruptions when in stressful practice or competitive situations Contemporary anxiety researchers (eg, Jones, 1995) also recommend assessing not merely the intensity of anxiety symptoms (eg, using SCAT and SAS), but whether athletes interpret their anxiety symptoms as having a facilitative or debilitative effect on performance (referred to as direction of anxiety) The greatest vulnerability to injury may occur with athletes who have high anxiety and who interpret it as having a detrimental effect on performance See Jones (1995) for a more thorough discussion of the conceptual distinctions between intensity and direction of anxiety, and for suggestions to modify current anxiety tools.

Numerical range of a matrix: For all (m x 111) matrix A, the set {xllA-.r : .r (m x I),xllx I} is sometimes called the numerical