P(A|B) = P(A) represents an example of
Select one:
a. Statistical independence (event A is statistically independent of event B)
b. Statistical correlation (event A is statistically correlated to event B)
c. Statistical ambivilance (event A is statistically ambivilant in regards event B)
d. Statistical dependence (event A is statistically dependent on event B)
when A is independent of B
P(A|B)= P(A)
option a. Statistical independence (event A is statistically independent of event B) is correct
P(A|B) = P(A) represents an example of Select one: a. Statistical independence (event A is statistically independent...
Statistical Independence / Probability Problem
Please show your work so I can try to understand :)
The following probabilities are known for events, A, B, and C: P(A) 0.30, P(B)0.60, P(C) 0.10 P(AC) 0.25, P(BU C)-0.64, P(ABIC)-0.20 In addition, events A and B are known to be statistically independent. a) Are events A and C statistically independent? How about events B and C? b) Determine P(ABC).
Q1)
Consider two events P and Q.
a. Write the general formula used to calculate the probability
that either event P occurs or Q occurs or both occur.
b. How does this formula change if:
i. Events P and Q are disjoint (i.e., mutually exclusive of each
other).
ii. Events P and Q are nondisjoint events that are statistically
independent of each other.
iii. Events P and Q are nondisjoint events that are
statistically dependent of each other.
Q2)
Rewrite...
(10) 3. A conditional probability P(BA) is equal to its marginal probability P(B) if A) it is a joint probability. B) statistical dependence exists. C) statistical independence exists. D) the events are mutually exclusive. E) P(A) = P(B).
Multicollinearity occurs when... Select one: independent variables are perfectly correlated dependent variables are perfectly correlated an independent variable is perfectly correlated with the dependent variable the error term is perfectly correlated with the intercept All/Any of the above. Which of the following statements is true regarding an F-Test? Select one: It is a joint hypothesis test. The null hypothesis states the all slope coefficients in the population regresion model are equal to zero. It tests whether or not one's regression...
3. If PA)-03, P(B) 0.2, P(A and B)-a06, what can be said about events A and B ? A) They are independent. B) They are mutually exclusive. C) They are posterior probabilities. D) None of the above E) All of the above 4. "The probability of event B, given that event A has occurred" is known as a probability A) continuous B) marginal C) simple D) joint E) conditional 5. The expected value of a probability distribution is A. the...
13.If two events A and B are statistically independent, then: a. A's occurrence makes it less likely that B will occur. b. A's occurrence makes it more likely that B will occur c. A's occurrence makes it impossible that B will occur d. A's occurrence has no effect on the probability of B occurring. e. B's occurrence has minimal effect on the probability of A occurring 14.If two events are independent, then: a. they must be mutually exclusive b. the...
What is a multiple regression equation? (Select all that apply) a. One that represents the mathematical effect that several independent variables have on the dependent variable b. One in which the x-values are multiplied by one another c. One that explains more of the variance in y than does a single linear regression equation d. An experimental model for determining best practices e. One that uses more than one predictor variable to predict the value of the outcome variable f....
7. If A and B are independent events, then P(A and B) equals a. b. c. P(A) + P(B/A). P(A) x P(B). P(A) +P(B). d. P(A/B) +P(B/A) 8.Which formula represents the probability of the complement of event A? b. 1-P(A) c. P(A d. P(A)-1 9. The simultaneous occurrence of two events is called a. prior probability b. subjective probability c. conditional probability d. joint probability 10. If the probability of an event is 0.3, that means the event has a...
"the following formula: P(A|B)= P(AnB) / P(A) represents " Addition Rule Conditional probability Multiplication Rule Independence
in a statistical test of hypothesis we say the redults are statistically signifficant at level a if: A. a=.05 B. a is small C. the p value is less than or equal to a D. the p value is larger than a E. Absolute value of the test statistic is very small