The following figure illustrates the effect of increasing the signal

The following figure illustrates the effect of increasing the signal

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The following figure illustrates the effect of increasing the signal (bear) to  noise (wind) ratio by increasing the magnitude of the signal (bear) by  stringing cans around your camp, for example. If a bear is around, the  quietist noise it can make is the sound of tin cans. If a bear makes a noise  at all it tends to be very loud (amplify or multiple all scores in bear noise  distribution by ten). Where you were only able to detect signals of size  “thirty” or greater initially, you can detect signals of size three with the  same number of false alarms, because every sound is multiplied by ten.  What this does geometrically is to spread out the bear noises. Each point  on the “bear curve” is moved to the right (or left) by a factor of ten. A noise  that had been above the 3 on the 
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Unformatted text preview: x axis is moved to the right to 30. This gives the appearance of shifting the bear curve down. Increase Signal to Noise Ratio Choose a subject which is especially insensitive to the most likely confounds. Use an apparatus which shields against the major confounds. Exert tighter technological control to reduce noise levels. In the camping story, flatten the woods and pave it over. You will then be able to easily hear a bear roar. Run pigeons in sealed unchanging chambers with few distractions. The variations in the behavior caused by chance or irrelevant factors would then drop to a very low level and the effects of very small treatment effects (signals) would be made obvious. If you wish to hear a quiet door bell at a party tell people making noise to be quieter....
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The following figure illustrates the effect of increasing the signal

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