Welch Two Sample t-test

data:  treated and control
t = 2.2526, df = 5.1628, p-value = 0.07236
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -3.151517 51.484850
sample estimates:
mean of x mean of y 
 65.50000  41.33333 


	Welch Two Sample t-test

data:  treated[-6] and control
t = 5.4258, df = 7.009, p-value = 0.0009768
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
  7.712159 19.621174
sample estimates:
mean of x mean of y 
 55.00000  41.33333 


	Wilcoxon rank sum exact test

data:  treated and control
W = 36, p-value = 0.002165
alternative hypothesis: true location shift is not equal to 0

trimmed_diff            t           df            p 
15.250000000  4.973266791  4.740272008  0.004859575 

	Welch Two Sample t-test

data:  log(treated) and log(control)
t = 3.0463, df = 5.6191, p-value = 0.02458
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.07574598 0.75043370
sample estimates:
mean of x mean of y 
 4.132066  3.718977 

ratio of geometric means 1.511481 CI 1.078689 2.117918 

	Welch Two Sample t-test

data:  log(treated[-6]) and log(control)
t = 5.6232, df = 8.3579, p-value = 0.0004244
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.1692078 0.4015246
sample estimates:
mean of x mean of y 
 4.004343  3.718977 

ratio without T6 1.330249 CI 1.184366 1.494101 
z scores -0.518 -0.288 -0.633 -0.173 -0.403 2.014 
largest possible |z| for n = 6: 2.041241 
Grubbs G 2.014024 critical 1.887145 
MAD scores -0.674 0.225 -1.124 0.674 -0.225 9.218