1. For a given binomial distribution with n fixed trials and p, which is the probability of success of each trial, the binomial distribution is skewed left if p=0.50
Select one:
True or False
2. Consider a graph of a normal distribution with the mean μμ and standard deviation σσ. The graph will never cross the horizontal axis. This happens because the normal distribution is an exponential function.
Select one:
True or False
3. Suppose you flip a fair a coin 20 times. You flip the coin the same way for each flip. The fair coin can land as a head or a tail. In other words, there are only two outcomes for each coin flip. You wish to find the probability that you will get twelve heads out of the 20 flips. This is an example of a binomial experiment
Select one:
True or False
4. Let P(A)=0.5P(A)=0.5 and P(B)=0.3P(B)=0.3. If P(A|B)=0.2P(A|B)=0.2, calculate P(AandB)P(AandB).
Select one:
a. 0.80
b. 0.60
c. 0.10
d. 0.06
5. Given P(A)=0.6P(A)=0.6 and P(B)=0.5P(B)=0.5, and P(A|B)=0.3P(A|B)=0.3. Calculate P(AorB)P(AorB).
Select one:
a. 0.80
b. 0.40
c. 0.50
d. 0.95
1. Answer: False
If p = 0.50 then binomial distribution is symmetric.
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2. Answer: False
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3. Answer : True
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4. P(A)=0.5, P(B)=0.3, P(A|B)=0.2
P(A and B) = P(A|B)*P(B) = 0.2*0.3 = 0.06
Answer: d. 0.06
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5. P(A)=0.6, P(B)=0.5, P(A|B)=0.3
P(A and B) = P(A|B)*P(B) = 0.3*0.5 = 0.15
P(A or B) = P(A) +P(B) -P(A and B) = 0.6 + 0.5 - 0.15 = 0.95
Answer: d. 0.95
1. For a given binomial distribution with n fixed trials and p, which is the probability...
1. Which of the following is a probability mass function for some probability distribution p with domain {1,2,3,4}? P(1)=0.1,P(2)=0.2,P(3)=0.3,P(4)=0.4 P(1)=0.1,P(2)=0.1,P(3)=0.3,P(4)=0.4 P(1)=0.2,P(2)=0.4,P(3)=0.3,P(4)=0.4 P(1)=-0.5,P(2)=0.8,P(3)=0.5,P(4)=0.2 2. Let X be the random variable where X is the number of heads after flipping a fair coin 50 times. What is the mean of X? 3. Suppose that one flips a fair coin 6 times. What is the probability of getting at most 2 heads? 4. Which of the following is a discrete probability distribution and...
Binomial probability distributions depend on the number of trials n of a binomial experiment and the probability of success p on each trial. Under what conditions is it appropriate to use a normal approximation to the binomial? (Select all that apply.) nq > 5np > 10np > 5nq > 10p < 0.5p > 0.5
In a Binomial Distribution, if ‘n=6’ is the number of trials and ‘p=1/4’ is the probability of success, then the mean µ value is given by (a) 1.5 (b) 0.80 (c) 1.345 (d) 0.265
Use simulations to prove that the binomial distribution is correct. The binomial distribution has two parameters n and p. There are n trials and each has two possible outcomes, with probability p for “success” and 1-p for “failure”. The binomial gives the probability distribution for the number of successes in n trials. You will conduct simulations with r replicates, where each simulation replicates does n simulated “coin flips”. You will add up the number of successes in each coin flip,...
If I sum a binomial random variable with n=5 and p =0.3 and a binomial random variable with m=10 and p =0.5, I get Select one: a. Something unfamiliar to us as yet b. A normal distribution c. A binomial random variable with number of Bernoulli trials =15 and p =0.4 d. A Binomial with number of Bernoulli trials =15 and p=0.4
You may need to use the appropriate appendix table or technology to answer this question.Assume a binomial probability distribution has p = 0.70and n = 400.(a)What are the mean and standard deviation? (Round your answers to two decimal places.)
mean
standard deviation
(b)Is...
Assume that the given procedure yields a binomial distribution with n trials and the probability of success for one trial is p. Use the given values of n and p to find the mean y and standard deviation o. Also, use the range rule of thumb to find the minimum usual value -20 and the maximum usual value u +20. In an analysis of preliminary test results from a gender-selection method, 33 babies are born and it is assumed that...
Question 2 Suppose you have a fair coin (a coin is considered fair if there is an equal probability of being heads or tails after a flip). In other words, each coin flip i follows an independent Bernoulli distribution X Ber(1/2). Define the random variable X, as: i if coin flip i results in heads 10 if coin flip i results in tails a. Suppose you flip the coin n = 10 times. Define the number of heads you observe...
1. Multiple choice. Circle all the correct answers a) You flip a coin 100,000 times and record the outcome in a Xi 1 if the toss is "Heads" and 0 if its "Tails. The Law of Large Numbers says that: i. ii. It is impossible for the first n flips to all be "Heads" if n is large. With high probability, the share of coin flips that are "Heads" will approximate 50%. The sample mean of X is always 0.5...
Consider a binomial distribution with n = 10 trials and the probability of success on a single trial p = 0.75. (a) Is the distribution skewed left, skewed right, or symmetric? (b) Compute the expected number of successes in 10 trials. (c) Given the high probability of success p on a single trial, would you expect P(r ≤ 2) to be very high or very low? Explain. (d) Given the high probability of success p on a single trial, would...