N.B. for the start of the chapter on mixing, please see the final part of the separations video (from 1:02:20 onwards) 

Video timings:

0:03 Mixing - Motivation

09:45 Mixer design (examples, dimensional analysis and worked example)

26:30 Mixing physics

29:00 Mixing result analysis - introduction

34:38 2 component mixtures and sample analysis

43:45 Empirical variance - at this point you are encouraged to look at the supporting document I have provided on StudON to explain why the factor 1/(k-1) is needed

45:40 Binomial distribution - if you are unfamiliar with calculating with the binomial distribution at this point you should watch the video I have provided a link to on StudON

49:00 Normal distribution - if you are unfamiliar with calculating with the normal distribution (or reading the tables like those in section 13 of the script) you should watch the videos I have provided links to on StudON

55:30 Assessing a mixture by sampling

1:00:45 Video about the Student t distribution

1:03:40 Worked example of assessing a mixture by sampling (gummy bears)

1:05:00 Case 1: Population variance is known (normal distribution must be used)

1:22:40 Case 2: Population variance is not known (student t distribution must be used). If you are unfamiliar with reading the student t tables in section 13 of the script you should watch the video I have provided a link to on StudON.

1:38:15 Assessing the mixing process itself - how to determine the amount of sample needed to determine the population concentration

1:42:59 Monitoring a mixing process - defining an optimal mixing time

Mixing results