Help pl Mr. Hayes studied his students' history test scores and TV habits. He found that students who watched less TV tended to earn higher scores on the test. What conclusion should he make?

There is no correlation between test score and amount of TV watched.

There is a correlation between test score and amount of TV watched. There is probably also causation. This is because there is an increase in a
student's test score with a decrease in the amount of TV watched.

There is a correlation between test score and amount of TV watched. There may or may not be causation. Further studies would have to be done to
determine this.

a framing bias

step-by-step explanation:

rodrigo is subject to a framing bias i believe.

whats the question?

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

hit or miss i guess they never miss huh

step-by-step explanation:

you got a boyfriend i bet he doesnt kiss ya