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1950
STATISTICAL ASPECTS
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simple statistical methods can be used to present data and interpret experimental results in color sensitometry. It should be emphasized that no method of summarizing and presenting experimental data should ever lead the reader to draw different inferences than he would have drawn (more laboriously) by references to the original test results.
Frequency Diagrams
Frequency diagrams30 (histograms) can be recommended for studying the results of large experiments when the order in which the ex
Fig. 13. Frequency diagram (histogram) for the red densities of 462 images obtained during an arbitrarytest run.
DENSITY THROUGH RED FILTER
Table III. Densities Through Red Filters During an Arbitrary
Test Run
Number of Percentage Densities strips of strips
Number of Percentage Densities strips of strips
1.12
to
1.14
2
0
.4
1
.30 to 1
.32
104
22
.5
1.15
to
1.17
5
1
.1
1
.33tol
.35
55
11
.9
1.18
to
1.20
18
3
.9
1
. 36 to 1
.38
28
6
.1
1.21
to
1.23
41
8
.9
1
.39 to 1
.41
9
1
.9
1.24
to
1.26
81
17
.5
1,
42 to 1
.44
3
0
.6
1.27
to
1.29
116
25
.1
Total
462
99
.9
perimental work was done is not of great importance. They are usually preferable to tables because they immediately convey a graphic picture. Figure 13 shows a frequency diagram for the sensitometric tests made on samples of film made during an arbitrary test run. The information shown in this graph is equivalent to that contained in Table III. The shape of such histograms gives important information about how well the process was controlled during the period under study. Well controlled systems usually produce single