Below in each question are given two statements A and B. These statements may be either independent causes or may be the effects of independent causes. One of the statements may be the effect of the other statement. Read both the statements and decide which of the following answer choices correctly depict the relationship between these two statements. Event (A): Mr. Ayaram, a politician, resigned from party X and joined party Y.Event (B): Mr. Gayaram, a politician, resigned from party Y and joined party X.if statement (A) is the cause and statement (B) is its effect.if statement (B) is the cause and statement (A) is its effect.if both the statements (A) and (B) are independent causes.if both the statements (A) and (B) are effects of independent causes.if both the statements are effects of some common causes.

Use the graph to answer the questions.1. Which variable is considered the cause in the cause-and-effect relationship? Blank 1 Question 52. Which variable will be the effect in the cause-and-effect relationship? Blank 2 Question 53. Which variable is the independent variable? Blank 3 Question 54. Which variable is the dependent variable? Blank 4 Question 5

Statements:                                I.            The car manufacturing companies have recently increased the prices.                               II.            The government has recently increased the duty on the cars. 1 pointa. Statement I is the cause and statement II is its effect.b. Statement II is the cause and statement I is its effect.c. Both the statements I and II are independent causes.d. Both the statements I and II are effects of independent causes.

Which is true of dependent events?

A) Define independent event. If A and B are independent event then show that thefollowing pair is also independent:i.A andBii.A andB

Which of the following statements are true? Mark all that apply.If A and B are independent events, then the probability of Event B occurring is the same whether or not Event A occurs.If events A and B are independent, then P(A and B) = P(A) + P(B)If P(A) is the probability that event A will occur, then the probability event A will NOT occur is 1 - P(A).Two events are independent if they cannot occur at the same time.If events A and B are overlapping, then P(A or B) = P(A) + P(B) - P(A and B)