Which statement best explains conditional probability and independence? When two separate events, A and B, are independent,
P(A and B) P(A).P(B)
P(BA)
P(B). This means that the
P(A)
P(A)
occurrence of event B first did not affect the probability of event A occurring next.
When two separate events, A and B, are independent,
P(A and B) P(A).P(B)
P(BA)
- P(B) This means that the
P(A)
P(A)
occurrence of event B first affected the probability of event A occurring next.
When two separate events, A and B, are independent,
P(A and B) P(A. P(B)
P(BA)
P(B)
P(A)
This means that the
PA
occurrence of event A first did not affect the probability of event B occurring next.
When two separate events, A and B are independent,
P(A and B) P(A).P(B)
P(BA)
P(B)
P(A)
P(A)
This means that the

whatever you can spend with $11.53 or under.

step-by-step explanation:

20 - 8.47 = 11.53. take away the money he used for lunch from the starting amount of 20.

introduction, methodology, results, discussion

step-by-step explanation:

an observational study is one which consists of actual observation to record data and then analyse the data.

there are a number of factors that should be analyzed before starting an observational study.

the main four factors are:

i) introduction:   this should be analysed to check whether the purpose of the study is correctly established and the data recorded are appropriate for the study

methodology:   the method of collecting the data, such as whether randomly selected, and whether sample size matches with the population to be studied, whether questions asked are easy to answer by common men, etc.

results: then results such as summary of data with comments should be studied thoroughly

discussion:   the last is the discussion, this can be either by management people or persons who are all interested , etc.

i think the answer is b