Find the confidence interval (95%) on the average of the integrated EMG during each clench (25%, 50%,75%, and 100%) for all the subjects in your data set. Create a bar (horizontal) chart to represent this data with 25%, 50%, 75%, 100% groups as the dependent variable and average EMG as the independent variable. Include error bars that represent the 95% range on the EMG estimates. (This is an example of unnormalized data.)

first one is a: renaming a fraction. second one is c: de-c

step-by-step explanation:

my explanation is that these were the answers on edg : )

the answer is c just got it on ed

step-by-step explanation:

85.560%

step-by-step explanation:

conditional probability is defined as:

p(a|b) = p(a∩b) / p(b)

in other words, the probability that a occurs, given that b has occurred = the probability that both a and b occur / the probability that b occurs.

in this example:

p(turns 64 | turns 44) = p(turns 64 & turns 44) / p(turns 44).

if someone turns 64, they must have already turned 44, so:

p(turns 64 | turns 44) = p(turns 64) / p(turns 44)

on page 42, we see that of the original 100,000, 94944 turn 44, and 81234 turn 64.   therefore:

p(turns 64 | turns 44) = 81234 / 94944

p(turns 64 | turns 44) = 0.85560