Computer Shopper 125/Computer Shopper CD-ROM Issue 125 (1998-07)(Dennis Publishing).iso/EuroMath/MathDemo/DataBase/learning/ID201.txt

Text File | 1997-04-17 | 6.4 KB | 435 lines

u'({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{
'({|})}|{
'({|})}|{    TALLY TABLES - LP h010101
'({|})}|{
'({|})}|{::::::::::::::::::::::::::::::::::::::::::::::::::::::::
'({|})}|{
'({|})}|{    AMENDMENT LOG:
'({|})}|{        1/10  D.B.
'({|})}|{
'({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{({|})}|{




@seeAlso 4grouped distributions
@seeAlso 4questionnaires
@seeAlso 4bias
@seeAlso 4fairness



@atGraphic 8,5
@Picture datahand\h0101int.bmp

@animate PasGetCup


@PlaySoundFile h1010101.wav

@at 0,5
#<tally tables#
@definition
@at 57,23
You can organise #braw data# by using
a #btally table#.
@at 10,+1
Raw data is information which is not organised
in any way.






@Wait 5
@animate PasPoint,PasSmile




@prompt
@at 10,75
@keyPoint 9999,drawing the tally table (part 1)

@animate PasWave,PasPoint



@atGraphic 1,75
@Picture datahand\h0101dat.bmp
@atGraphic 139,75
@Picture datahand\h0101tly.bmp
@at 147,88
45
@at 147,98
50
@at 147,108
55
@at 147,118
60
@at 147,128
65
@at 147,138
70
@at 147,148
75
@at 147,158
80
@at 147,168
85
@at 147,178
90
@at 147,188
95



@PlaySoundFile h1010102.wav

@at 10,115
#bdrawing the tally table#
@at ,+5
@Wait 0.5
The first column in the
tally table shows the
values of the data you
are recording. In this
example, the values
listed are examination
scores.
@at ,+4



@prompt

@keyPoint 9999,drawing the tally table (part 2)

@animate PasWave,PasPoint

@atGraphic 1,75
@Picture datahand\h0101dat.bmp
@atGraphic 139,75
@Picture datahand\h0101tly.bmp

@at 147,88
45
@at 147,98
50
@at 147,108
55
@at 147,118
60
@at 147,128
65
@at 147,138
70
@at 147,148
75
@at 147,158
80
@at 147,168
85
@at 147,178
90
@at 147,188
95


@at 10,115
#bdrawing the tally table#
@at ,+5
@Wait 0.5
For each score in the list
of raw data, find that
score in the tally table and
make one tally mark in the
tally column next to it.


'Cross out 16   (45)  1
'add 14 on X
@atGraphic 91,91
@Picture datahand\h0101x16.bmp
@atGraphic 172,90
@Picture datahand\h0101ty1.bmp
@wait 0.25

'Cross out 17   (50)  1
'add 14 on X
@atGraphic 105,91
@Picture datahand\h0101x17.bmp

@atGraphic 172,100
@Picture datahand\h0101ty1.bmp
@wait 0.25


'Cross out 2 (55) 1
'add 14 on X
@atGraphic 21,79
@Picture datahand\h0101x2.bmp

@atGraphic 172,110
@Picture datahand\h0101ty1.bmp
@wait 0.25


'Cross out 5 (55) 2
'add 14 on X
@atGraphic 63,79
@Picture datahand\h0101x5.bmp
@atGraphic 172,110
@Picture datahand\h0101ty2.bmp
@wait 0.25

'Cross out 7 (55) 3
'add 14 on X
@atGraphic 91,79
@Picture datahand\h0101x7.bmp
@atGraphic 172,110
@Picture datahand\h0101ty3.bmp
@wait 0.25


'Cross out 9 (55) 4
'add 14 on X
@atGraphic 119,79
@Picture datahand\h0101x9.bmp
@atGraphic 172,110
@Picture datahand\h0101ty4.bmp
@wait 0.25


'Cross out 13 (55) 5
'add 14 on X
@atGraphic 49,91
@Picture datahand\h0101x13.bmp
@atGraphic 172,110
@Picture datahand\h0101ty5.bmp
@wait 0.25


'Cross out 4   (60)  1
'add 14 on X
@atGraphic 49,79
@Picture datahand\h0101x4.bmp
@atGraphic 172,120
@Picture datahand\h0101ty1.bmp
@wait 0.25


'Cross out 6   (60)  2
'add 14 on X
@atGraphic 77,79
@Picture datahand\h0101x6.bmp
@atGraphic 172,120
@Picture datahand\h0101ty2.bmp
@wait 0.25



'Cross out 18   (60)  3
'add 14 on X
@atGraphic 119,91
@Picture datahand\h0101x18.bmp
@atGraphic 172,120
@Picture datahand\h0101ty3.bmp
@wait 0.25

'Cross out 8   (65)  1
'add 14 on X
@atGraphic 105,79
@Picture datahand\h0101x8.bmp

@atGraphic 172,130
@Picture datahand\h0101ty1.bmp
@wait 0.25


'Cross out 12   (65)  2
'add 14 on X
@atGraphic 35,91
@Picture datahand\h0101x12.bmp
@atGraphic 172,130
@Picture datahand\h0101ty2.bmp
@wait 0.25


'Cross out 11   (70)  1
'add 14 on X
@atGraphic 21,91
@Picture datahand\h0101x11.bmp
@atGraphic 172,140
@Picture datahand\h0101ty1.bmp
@wait 0.25



'Cross out 14   (70)  2
'add 14 on X
@atGraphic 63,91
@Picture datahand\h0101x14.bmp
@atGraphic 172,140
@Picture datahand\h0101ty2.bmp
@wait 0.25




'Cross out 1 (75)

@atGraphic 7,79
@Picture datahand\h0101x1.bmp
@atGraphic 172,150
@Picture datahand\h0101ty1.bmp
@wait 0.25


'Cross out 3   (80) 1
'add 14 on X
@atGraphic 35,79
@Picture datahand\h0101x3.bmp

@atGraphic 172,160
@Picture datahand\h0101ty1.bmp
@wait 0.25

'Cross out 15   (85)  1
'add 14 on X
@atGraphic 77,91
@Picture datahand\h0101x15.bmp

@atGraphic 172,170
@Picture datahand\h0101ty1.bmp
@wait 0.25


'Cross out 10   (95)  1
'add 14 on X
@atGraphic 7,91
@Picture datahand\h0101x10.bmp

@atGraphic 172,190
@Picture datahand\h0101ty1.bmp


@PlaySoundFile h1010103.wav

@at 10,+12
(Remember that when you get to 5 tally marks,
you should use a five bar gate.)








@prompt

@keyPoint 9999,finding the frequency

@animate PasGetCup


@atGraphic 1,75
@Picture datahand\h0101dat.bmp
@atgraphic +6,+4
@picture datahand\h0101fa.bmp
@atGraphic 139,75
@Picture datahand\h0101tly.bmp
@atGraphic ,+13
@picture datahand\h0101fb.bmp

@at 147,88
45
@at 147,98
50
@at 147,108
55
@at 147,118
60
@at 147,128
65
@at 147,138
70
@at 147,148
75
@at 147,158
80
@at 147,168
85
@at 147,178
90
@at 147,188
95





@PlaySoundFile h1010104.wav

@at 10,115
#bfinding the frequency#
@at  ,+1
Adding up all the tally
marks for each score
gives the #bfrequency#
of that score. For
example, the score 55
has a frequency of 5.


@wait 2
@at 212,88
@loop 11
@loopprint 1|1|5|3|2|2|1|1|1| |1
@at ,-2
@wait .4
@endLoop

@Wait 0.5

@animate PasPoint

@At 10,+5
We say that the frequency column shows the
#bfrequency distribution# for a set of data.





@prompt

@keyPoint 9999,summary

'@animate PasGetCup

#bSummary#
@at ,+5
@Wait 0.75
   *   #^A tally table usually has three columns
@at ,+5
@Wait 0.75
   *   #TThe first column shows the values of the
#Tdata you are recording
@at ,+5
@Wait 0.75
   *   #TThe second column shows the tally
@at ,+5
@Wait 0.75
   *   #TThe third column shows the frequency
@at ,+5
@Wait 0.75
   *   #TYou work out the frequency by adding up
#Tall the tally marks for each value
@at ,+5
@Wait 0.75
   *   #TThe frequency column gives the
#T#bfrequency# #bdistribution# for the data.