2019 Avida-ED Active LENS Exercise 2 Data Analysis

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S
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3	Name	JS1	JS2	JS3	Catherine	Jayme	Katcher	Nan	Brad	Wayne	Torrey	Michael	Emily	John	Eric	Pedro	Rattray	Shannon	Mike
4	Updates for NOT to occur when all resources absent (No reward for NOT)	379	358	319	599		243	693	181	182	641	294	319	319	561	476.0	599	490.0	471
5	Updates for NOT to occur when notose present (Reward for NOT)	359	511	671	717		276	491	614	285	255	498	495	632	345	375.0	328	472.0	578
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8	Did a mutation conferring the NOT phenotype occur quicker when the environment rewards NOT?	YES	NO	NO	NO		NO	YES	NO	NO	YES	NO	NO	NO	YES	YES	YES	YES	NO
9	Number of students reporting NOT occurred first when all resources absent	10
10	Number of students reporting NOT occurred first when notose present	7
11	Percentage of students reporting NOT occurred first when notose present	41%
12	p-value for the test using the binomial distribution if this is different from 50%	0.83
13	Probability at least this many students would report NOT occurring first given chance alone	83%
14	Is this significantly different from 50% (i.e. mutation equally likely in both environments)?	no
15	So, do these data support the hypothesis that the environment affects which mutations occur?	NO!
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17	Which scenario does the lab data support?
18	Which scenario does the lab data support?
19	Compare these lab data to the three sheets of example datasets:
20	Option 1) Mutations are random with respect to the environment
21	Option 2) Mutations are more likely if notose is absent
22	Option 3) Mutations are more likely if notose is present
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