describe real-life events that are:
For each of the examples, you provide briefly explain how you know they are that type of event.
a) Complementary event:
Consider the workers in a factory.
Let A = { male workers}
Therefore Ac = { not male workers } = { female workers }
b) Mutually exclusive events:
Let A = Population of a particular city
Bx = { Number of peoples in a age group x to x + 1 } x =0, 1, 2, ....,n
Therefore Bx are mutually exclusive events for each value of x.
c) Not mutually exclusive events :
Consider, A = All the students who gives the exam in a class .
Let B = { Number of students passed in mathematics}
C = { Number of students who passed in statistics}
D = { Number of students who passed in both mathematics and statistics }.
Here assume that D include at least one sample element.
Therefore , D = A and B .
So that A and B are not mutually exclusive events.
d) Let X = Number of hours of study by the students in a particular class .
Y= Height of the students.
Then X and Y are independent events, because height is not affected to the number of hours study by the students.
e) Let X = Height of a person
Y = Weight of a person.
Here X and Y are dependent events.
Because, in general tallest peoples have more weight.
describe real-life events that are: Complementary Mutually exclusive. Not mutually exclusive. Independent. Dependent. For each of...
Discuss the concepts of mutually exclusive events and independent events. List two examples of each type of event from everyday life.
Assume that we have two events, A and B, that are mutually exclusive. Assume further that we know P(A) = 0.30 and P(B) =0.40. What is P(A B)? What is P(A | B)? Is P(A | B) equal to P(A)? Are events A and B dependent or independent? A student in statistics argues that the concepts of mutually exclusive events and independent events are really the same, and that if events are mutually exclusive they must be independent. Is this...
Assume that we have two events, A and B, that are mutually exclusive. Assume further that we know P(A)= 0.30 and P(B)= 0.40. Assume that we have two events, A and Br that are mutually exclusive. Assume further that we know P(A) 0.30 and PCB 0.40 If an amount is zero, enter "0". a. What is P(An B)? b. what is p(AIB? C. Is AIB) equal to A)? Are events A and B dependent or independent? d. A student in...
Explain when will two events be independent and when will two events be mutually exclusive. Can two mutually exclusive events be independent also? Can two independent events be mutually exclusive? Suppose the experiment is roll two dice. Consider events E= both numbers are even. F = both numbers are odd, Are E and F mutually exclusive? Are they independent? Consider events U and V. U= the first number is even, V= the second number is even. Are U and V mutually...
In parts (a) and (b), identify whether the events are mutually exclusive, independent, or neither (events cannot be both mutually exclusive and independent). a) You and a randomly selected student from your class both earn A's in this course. neither independent mutually exclusive b) You and your class partner both earn A's in this course. neither mutually exclusive independent c) If two events can occur at the same time, they must be independent. false true
Suppose that A and B are mutually exclusive and complementary events, such that P(A)=0.7 and P(B)=0.3. Consider another event C such that P(C/A)-0.2 and P(C/B)=0.3. What is P(C)?
Discuss the concepts of mutually exclusively events and independent events. List two examples of each type of events from everyday life.
Suppose the events B and B2 are mutually exclusive and complementary events, such that P(B) = 0.12 and P(B2) = (1 – 0.12). Consider another event A such that P(AB) = 0.49 and P(A|B2) = 0.46 Complete parts (a) through (d) below. • Find P(Bin A). • Find P(B2n A) • Find P(A) using the results in parts (a) and (b). • Find P(B1A). (Round the result to 4 decimal places.) a. P(Bin A) b. P(B2N A) c. P(A) DID...
“If two events are mutually exclusive, they must not be independent events.” Is this statement true or false? Explain your choice.
Chapter 3 3.2 Independent and Mutually Exclusive Events 40. E and Fare mutually exclusive events. P(E)-0.4; P(F) 0.5. Find P(E1F) 41.J and Kare independent events. PUlK) 0.3. Find PC) 42. Uand V are mutually exclusive events. P(U) 0.26; P(V)-0.37. Find: a. P(U AND V)= 43.Q and R are independent events. PQ) 0.4 and P(Q AND R) 0.1. Find P 3.3 Two Basic Rules of Probability Use the following information to answer the next ten exercises Forty-eight perc Californians registered voters...