Standardised MEC (fish example)

	A	B	C	D	E	F	G	H	I	J	K	M	N
1	Dividing by standard deviation (basically getting z-scores, I think)
2			Credence assigned	Non-standardised choice-worthiness	Expected CW of option	Mean of theory's (T's) CW function	SD of T's CW function	Overall mean	Overall SD	Standardised CW	Expected CW of option	Variance of T's standardised CW functions (just to check I did my calculations right)	Ranges of standardised CW
3	Fish curry	T1	0.25	-90	-15	-28.33333333	53.46338311	-10.33333333	39.17482185	-1.15343742	0.4070201325	1	1.776917106
4	Fish curry	T2	0.75	10		7.666666667	2.516611478			0.9271726499		1	1.986798536
5	Tofu curry	T1	0.25	5	5					0.6234796864	-0.6388494926
6	Tofu curry	T2	0.75	5						-1.059625886
7	Egg curry	T1	0.25	0	6					0.5299577334	0.2318293601
8	Egg curry	T2	0.75	8						0.1324532357
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16	Dividing by variance - THIS IS JUST TO SHOW THAT _THIS_ METHOD DOES _NOT_ WORK IN THE WAY WE WANT
17			Credence assigned	Non-standardised choice-worthiness	Expected CW of option	Mean of theory's (T's) CW function	Variance of T's CW function	Overall mean	Overall variance	Standardised CW	Expected CW of option	Variance of T's standardised CW functions (just to check I did my calculations right)	Ranges of standardised CW
18	Fish curry	T1	0.25	-90	-15	-28.33333333	2858.333333	-10.33333333	1534.666667	-0.02157434402	0.2709222035	0.0003498542274	0.0332361516
19	Fish curry	T2	0.75	10		7.666666667	6.333333333			0.3684210526		0.1578947368	0.7894736842
20	Tofu curry	T1	0.25	5	5					0.01166180758	-0.3128740218
21	Tofu curry	T2	0.75	5						-0.4210526316
22	Egg curry	T1	0.25	0	6					0.009912536443	0.04195181832
23	Egg curry	T2	0.75	8						0.05263157895
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