Question

In: Math

We have:                     P(A) = 0.75                     P(

We have:

                    P(A) = 0.75

                    P(B|A) = 0.9

                    P(B|A′) = 0.8

                    P(C|A ∩ B) = 0.8

                    P(C|A ∩ B′) = 0.6

                    P(C|A′ ∩ B) = 0.7

                    P(C|A′ ∩ B′) = 0.3     

Compute:

              a) ?(?′| ?′)

              b) P (?′ ∪ ?′)

              c) ?(? ∩ ? ∩ ?)

              d) P(C)

              e) ?(? ∩ ? ∩ ?)’

              f) P(B)

              g) P(AUBUC)

Solutions

Expert Solution

a)

b)

By the complement rule,

So,

By the law of total probability

By the Demorgan's law

c)

So,

(d)

-------------------

So,

-------------------

------------


Related Solutions

Consider the following hypothesis test: H0: p ≥ 0.75 Ha: p < 0.75 A sample of...
Consider the following hypothesis test: H0: p ≥ 0.75 Ha: p < 0.75 A sample of 300 items was selected. Compute the p-value and state your conclusion for each of the following sample results. Use α = .05. Round your answers to four decimal places. a. p = 0.67   p-value _____? b. p = 0.75 p-value _____? c. p = 0.7 p-value _____? d. p = 0.77 p-value _____?
Consider the following hypothesis test: H0: p ≥ 0.75 Ha: p < 0.75 A sample of...
Consider the following hypothesis test: H0: p ≥ 0.75 Ha: p < 0.75 A sample of 300 items was selected. Compute the p-value and state your conclusion for each of the following sample results. Use  = .05. Round your answers to four decimal places. b. = 0.74 p-value is c. = 0.78 p-value is
P(A) = 0.78, P(B) = 0.75, P(C) = 0.18, P(A∩B) = 0.67, P(A∩C) = 0.15, P(B∩C)...
P(A) = 0.78, P(B) = 0.75, P(C) = 0.18, P(A∩B) = 0.67, P(A∩C) = 0.15, P(B∩C) = 0.12, P(A∩B∩C) = 0.11. Find: 1. Find P(A∪B∪C) 2. Find P((A∩B)∪C) 3. Find P(A∩(B∪C))
Below there is information for a 1 sample proportion hypothesis test: H0:P= 0.75 HA:P> 0.75 α=0.01...
Below there is information for a 1 sample proportion hypothesis test: H0:P= 0.75 HA:P> 0.75 α=0.01 What is the smallest value of the test statistic that would provide enough evidence to reject the null hypothesis? [3] If the sample size is 50, what is the value of σp? [3] If the test statistic is 2 (sample size is still 50), what is the value of p? [3]
Below there is information for a 1 sample proportion hypothesis test: H0:P= 0.75 HA:P> 0.75 α=0.01...
Below there is information for a 1 sample proportion hypothesis test: H0:P= 0.75 HA:P> 0.75 α=0.01 What is the smallest value of the test statistic that would provide enough evidence to reject the null hypothesis? If the sample size is 50, what is the value of σp? If the test statistic is 2 (sample size is still 50), what is the value of p?
We have 30 cross-validation results as below: 0.81, 0.20, 0.92, 0.99, 0.75, 0.88, 0.98, 0.42, 0.92,...
We have 30 cross-validation results as below: 0.81, 0.20, 0.92, 0.99, 0.75, 0.88, 0.98, 0.42, 0.92, 0.90, 0.88, 0.72, 0.94, 0.93, 0.77, 0.78, 0.79, 0.69, 0.91, 0.92, 0.91, 0.62, 0.82, 0.93, 0.85, 0.83, 0.95, 0.70, 0.80, 0.90 Calculate the 95% confidence interval of the mean.
A) To test whether a coin is biased, we have these hypotheses: H0: p = 0.5,...
A) To test whether a coin is biased, we have these hypotheses: H0: p = 0.5, H1: p is not 0.5, where p is the population proportion of "heads" when the coin is tossed. A random sample of 50 tosses resulted in 30 heads. What is the value of the test statistic (Zstat) for this sample? (Provide two decimal places) B) A sample data set consists of these values: 5, 2, 1, 5. Find the z-score of 5. (Provide two...
Find the following probabilities for the standard normal random variable z: (a) P(−0.76<z<0.75)= (b) P(−0.98<z<1.36)= (c)...
Find the following probabilities for the standard normal random variable z: (a) P(−0.76<z<0.75)= (b) P(−0.98<z<1.36)= (c) P(z<1.94)= (d) P(z>−1.2)= 2. Suppose the scores of students on an exam are Normally distributed with a mean of 480 and a standard deviation of 59. Then approximately 99.7% of the exam scores lie between the numbers ---- and -----. ?? Hint: You do not need to use table E for this problem.
We have a binomial experiment with n = 18 trials, each with probability p = 0.15...
We have a binomial experiment with n = 18 trials, each with probability p = 0.15 of a success. A success occurs if a student withdraws from a class, so the number of successes, x, will take on the values 0, 1, and 2. The probability of each x value, denoted f(x), can be found using a table like the one below. Note that these values are rounded to four decimal places. n x p 0.10 0.15 0.20 0.25 18...
Suppose that for ABC Company we have the following functions:     Inverse Demand Function:   P =...
Suppose that for ABC Company we have the following functions:     Inverse Demand Function:   P = 360 - 0.8Q     Cost Function: 120 + 200Q     Marginal Revenue Function (MR) = 360 – 1.6Q     Marginal Cost (MC) = 200 Determine quantity (Q) and price (P) that maximizes profit for ABC Company. Show your calculations.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT