Example sentences of "for [det] [noun] " in BNC.

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31 The glucose concentration at the time of onset of a significant change in each parameter was identified for each subject and data were compared by paired Student 's t test or Wilcoxon signed rank tests , as appropriate .
32 The distribution was used to determine the appropriate centile group for each subject .
33 That wou tha that bit would be erm different for each subject .
34 It 's come in in different ways , maths , English and science from Spring Gardens is separate separate sheets which we can actually take out the files and give to each department , there 's no problem there Saint John 's again , is separate sheets , Collingwood is n't , it 's actually on photocopiable sheets , we either cut them up and give them out separately in some form or whatever , and what I 've , what we hope to do over the next maybe this year is to ask them for a sheet each , for each subject that we can actually take out of the file and give to each department , so that is has arrived , it ha did arrive last year but it arrived in such hotch botch that we did n't actually give it out , but we certainly have it this year and Marian and I certainly , Marian anyway will get that together and give it out to departments .
35 A simple expression of the difference between left and right ears or visual fields for each subject can be misleading since the same difference in scores may be obtained by subjects who differ in their overall level of accuracy .
36 Rather there should be only one set of notes for each subject regardless of source .
37 For each subject , use one set of notes only , built up from many sources and giving facts , opinions , questions and controversies .
38 Further analysis by a paired t test with age matched controls ( five controls for each subject ) showed a significant difference in height between the men with microalbuminuria ( mean height 166.3 cm ) and those with normoalbuminuria ( mean height 172.1 cm ) ( p<0.00001 ) .
39 The object is to provide one place , and one place only , for each subject .
40 A relative index as originally proposed by Melville Dewey , contains at least one entry for each subject in the scheme .
41 A specific index can be devised if the classification scheme is such that there is only one location for each subject .
42 Thus one specific entry can be made for each subject in the index .
43 Optimal output can be calculated for each subject and for each period on each repetition , as can optimal sales which can most conveniently be expressed as a proportion ( always either 0 or 1 ) of total post-production stock .
44 So the error in output , , and the error in the sales proportion , , can be calculated for each subject for each period and for each repetition .
45 Details of individual associations between actual and optimal decisions are given in Table 3 ; this presents for each subject and for each repetition the proportion of the variance of actual output ( or actual sales proportion ) explained by optimal output ( or actual sales proportion ) .
46 First , for each subject on each repetition we start with a data matrix of eight columns : g , a dummy taking the value 0 or 1 depending upon whether the subject did the experiment in a group or individually ; a , a dummy indicating the attempt number ( 1 or 2 ) ; t , the period number ; X t , the output chosen by that subject on that attempt and in that period ; p t , the proportion of ( post-production ) stock sold by that subject on that attempt and in that period ; P t , the output price in that period ; σ , the relevant standard deviation of the price distribution for that subject in that attempt ; and k , the relevant storage cost for that subject on that attempt .
47 Correlations between pairs of measures across the 40 junctions were calculated for each subject individually , the 30 correlations obtained in each case were then averaged using Fisher 's z transformation ( Silver and Dunlap 1987 ) .
48 Correlations across junction variables are all calculated individually for each subject and then averaged using Fisher 's z transformation .
49 For each subject the free speed was calculated as a proportion of the prevailing speed limit at the site and where there was more than one site available the average value was taken .
50 In a simulated setting , however , it is possible to produce identical situations for all drivers , this means that much greater control is available over the precise testing circumstances for each subject .
51 On each tape the 30 stimuli were blocked into six groups of five films and the presentation order of these six groups was randomized for each subject with the constraint that no two exemplars of a single junction could appear consecutively .
52 There were two within subject factors , judgment task and junction ( the ratings from the three different exemplars of each junction were first averaged for each subject )
53 Using the method recommended by Dunlap , Jones and Bittner ( 1983 ) correlations were calculated for each subject individually across the 24 films used in this study , correlations were then averaged for the 48 subjects using Fisher 's z transformation ( Silver & Dunlap 1987 ) .
54 To see whether individual subjects performed differently on those junctions which they personally knew well a recognition measure for each subject on each junction was calculated .
55 For each subject the correlation between this score and their familiarity ratings for the 10 junctions was calculated .
56 On each tape the stimuli were blocked into groups of four films and the presentation order of these groups was randomized for each subject .
57 The films in both phases were divided into six blocks of four junctions each and the order of presentation of blocks was randomized for each subject .
58 The mean number of dots/subarea ( sweat spot test score ) was also recorded for each subject .
59 This was done by calculating mean deltas of UOS pressure for each subject and comparing group mean differences before and after the common cavity .
60 Dialysis was performed at the same time of day for each subject .
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