But the wave is showing as exactly the same on the right and left.. Surely they should be different because the tones are different.
If you zoom-in (in time), you should see a difference. But, I'm not sure if that will help you or not...
It's very hard to analyze sounds by looking at the (time domain) waveform. It can he hard to tell the difference between music and spoken word, and you can't look at the waveform of a song and identify it there is singing or not. (Spoken word is generally less "dense" and there are gaps between sentences.)
I think there's just far too much data... The range of human hearing can go up to ~20kHz, and with CD audio (just for example) there are 44,100 samples (data points) per second. In a "normal' view, where you are looking at several seconds of audio, there are not enough pixels to show all of the data-points. You can zoom-in to see the individual samples, but then you are only looking at a tiny-fraction of a second of the sound. GoldWave has a tool for saving all of the sample-values in a text file, but again there is just too much data to know what you are "looking at".
I don't understand what you are doing, and I don't know what a "binaural beat" is, but the solution
might involve creating a
Spectrogram, which shows the frequency content over time. Or if you are artificially generating these sounds/beats, you should already know everything about the waveform, and there is little need to analyze or visualize it...
Hi, as titled, I'm new to Audacity and I'm currently doing my third year dissertation...
...discover what the frequency of my mp3 stimuli ...
If your degree is in science, you might look into
FFT (Fast Fourier Transform), which is a conversion from the time-domain to the frequency domain, and
Matlab (or one of the free Matlab clones). I believe Matlab pretty-much is the standard tool for the scientific analysis of sounds. But, if you are not a hard-science major (or math, or engineering major) you might need some help with it.
P.S.
...what the frequency of my mp3 stimuli is.
For anything "seroius", you should probably avoid MP3. MP3 is lossy compression, and the file has to be decompressed to by analyzed or played anyway. (When you open an MP3 file in Audacity, it gets decompressed first.) A "regular" WAV file essentially just holds a series of numbers that directly represent the sample-values. (Again, it doesn't do you much good to "look at" the bytes in the file, but it's more-straightforward if you are using an analysis tool.)