Question

10. What does a z-score tell you? 11. In a continuous probability distribution, what does the...



10. What does a z-score tell you?



11. In a continuous probability distribution, what does the area under the curve represent?


12. Mark is deciding which route to take to class. His choices are I = the Interstate and F = Fifth Street. P(I) = 0.44 and P(F) = 0.56 P(I AND F) = 0 because Mark will take only one route to work. What is the probability of P(I OR F)?



13. Assume you have a binomial distribution. In an experiment with 100 trials and a probability of a success equal to one half, what is the mean and standard deviation?




14. State whether the following meet the criteria for a Binomial Distribution. Provide an explanation for your answer.
• There are 60 or 70 trials.
• Each trial has two possible outcomes.
• Trials are independent of each other.
• The probabilities for each trial vary.




15. State whether the following meet the criteria for a Binomial Distribution. Provide an explanation for your answer.

• There are 100 trials.
• Each trial has three possible outcomes.
• Outcomes two and four depend on each other.
• Each trial has constant probabilities.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
True or False: 10. The probability of an event is a value which must be greater...
True or False: 10. The probability of an event is a value which must be greater than 0 and less than 1. 11. If events A and B are mutually exclusive, then P(A|B) is always equal to zero. 12. Mutually exclusive events cannot be independent. 13. A classical probability measure is a probability assessment that is based on relative frequency. 14. The probability of an event is the product of the probabilities of the sample space outcomes that correspond to...
Bonus Group Project 1: Negative Binomial Distribution Negative Binomial experiment is based on sequences of Bernoulli...
Bonus Group Project 1: Negative Binomial Distribution Negative Binomial experiment is based on sequences of Bernoulli trials with probability of success p. Let x+m be the number of trials to achieve m successes, and then x has a negative binomial distribution. In summary, negative binomial distribution has the following properties Each trial can result in just two possible outcomes. One is called a success and the other is called a failure. The trials are independent The probability of success, denoted...
A) Suppose we are considering a binomial random variable X with n trials and probability of...
A) Suppose we are considering a binomial random variable X with n trials and probability of success p. Identify each of the following statements as either TRUE or FALSE. a) False or True - The variance is greater than n. b)    False or True - P(X=n)=pn. c)    False or True - Each individual trial can have one of two possible outcomes. d)    False or True - The largest value a binomial random variable can take is n + 1. e)...
A biased coin (one that is not evenly balanced) is tossed 6 times. The probability of...
A biased coin (one that is not evenly balanced) is tossed 6 times. The probability of Heads on any toss is 0.3. Let X denote the number of Heads that come up. 1. Does this experiment meet the requirements to be considered a Bernoulli Trial? Explain why or why not. 2. If we call Heads a success, what would be the parameters of the binomial distribution of X? (Translation: find the values of n and p) 3. What is the...
Often times there are so many variables involved in a study that it is difficult to...
Often times there are so many variables involved in a study that it is difficult to distinguish "causes". For example, there is the belief that "smoking causes lung cancer". I tend to believe this myself but my own mother was a chain smoker and never developed lung cancer. There are many other variables that might affect the outcome of lung cancer such as working conditions, heredity, diet, etc. It is too hard to account for every "factor" in these circumstances...
Topic Often times there are so many variables involved in a study that it is difficult...
Topic Often times there are so many variables involved in a study that it is difficult to distinguish "causes". For example, there is the belief that "smoking causes lung cancer". I tend to believe this myself but my own mother was a chain smoker and never developed lung cancer. There are many other variables that might affect the outcome of lung cancer such as working conditions, heredity, diet, etc. It is too hard to account for every "factor" in these...
Problem 1: Relations among Useful Discrete Probability Distributions. A Bernoulli experiment consists of only one trial...
Problem 1: Relations among Useful Discrete Probability Distributions. A Bernoulli experiment consists of only one trial with two outcomes (success/failure) with probability of success p. The Bernoulli distribution is P (X = k) = pkq1-k, k=0,1 The sum of n independent Bernoulli trials forms a binomial experiment with parameters n and p. The binomial probability distribution provides a simple, easy-to-compute approximation with reasonable accuracy to hypergeometric distribution with parameters N, M and n when n/N is less than or equal...
Consider the probability distribution shown below. x 0 1 2 P(x) 0.05 0.50 0.45 Compute the...
Consider the probability distribution shown below. x 0 1 2 P(x) 0.05 0.50 0.45 Compute the expected value of the distribution. Consider a binomial experiment with n = 7 trials where the probability of success on a single trial is p = 0.10. (Round your answers to three decimal places.) (a) Find P(r = 0). (b) Find P(r ≥ 1) by using the complement rule. Compute the standard deviation of the distribution. (Round your answer to four decimal places.) A...
1 A fair coin is flipped 15 times. Each flip is independent. What is the probability...
1 A fair coin is flipped 15 times. Each flip is independent. What is the probability of getting more than ten heads? Let X = the number of heads in 15 flips of the fair coin. X takes on the values 0, 1, 2, 3, ..., 15. Since the coin is fair, p = 0.5 and q = 0.5. The number of trials is n = 15. State the probability question mathematically. 2 Approximately 70% of statistics students do their...
A game is played in which you spin a 10-segment spinner as shown above. All segments...
A game is played in which you spin a 10-segment spinner as shown above. All segments are the same size. Find the probabilities below. (a) Find the probability that you spin 4: P(spin 4) = (round to one decimal place) (b) Find the probability that you spin either 9 or 10: P(spin 9 or 10) = (round to one decimal place) (c) X is a binomial random variable. Suppose we define spinning 9 or 10 as "success", and we decide...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT