Which of the following is NOT an example of a binomial distribution?a.)The probability of flipping a coin four times and never landing on tails.b.)The probability of rolling a die eight times and getting an odd number or a prime number four times.c.)The probability of a basketball player making a free throw seven times in ten attempts.d.)The probability of a dart player missing the bullseye seven times in eight attempts.
Question
Which of the following is NOT an example of a binomial distribution?a.)The probability of flipping a coin four times and never landing on tails.b.)The probability of rolling a die eight times and getting an odd number or a prime number four times.c.)The probability of a basketball player making a free throw seven times in ten attempts.d.)The probability of a dart player missing the bullseye seven times in eight attempts.
Solution
The option that is NOT an example of a binomial distribution is:
b.) The probability of rolling a die eight times and getting an odd number or a prime number four times.
This is because a binomial distribution has only two possible outcomes (success or failure) in each trial. In this case, there are more than two outcomes - getting an odd number (1, 3, 5) or getting a prime number (2, 3, 5).
Similar Questions
Which of the following is not a property of a binomial experiment?a.The experiment is repeated a fixed number of times say n.b.There are three or more possible outcomes for each trail.c.The probability of success denoted by p, remains constant for all trails.d.The successive trails are all independent.
Can you give examples of situations where you would expect the binomial distribution to be useful in finding probability? Why do you expect the binomial distribution to be applicable in those situations?
Which of the following is a property of binomial distributions?There are exactly four possible outcomes for each trial.The variable of interest is the total number of successes or failures for a given number of observations.The expected value is equal to the number of successes in the experiment.All of the observations made are dependent on each other
A coin is tossed 50 times, and the number of times heads comes up is counted.Which of the following statements about the distributions of counts and proportions is FALSE?The distribution of the count of getting heads can be approximated with a normal distribution.The distribution of the count of getting tails can be approximated with a normal distribution.The count of getting heads from a sample proportion of size 20 can be approximated with a normal distribution.The count of getting heads is a binomial distribution.
Which one of the following is likely to be well described by a Binomial model?Group of answer choicesThe number of accidents in a large factory during one 8-hour shiftThe number of spades in a bridge hand (ie a random selection of 13 cards from a pack of 52 cards)The number of tosses of a fair coin until the 10th head is obtainedThe number of years between floods at a certain locationThe number of apples that are 'infected' in a sample of 40 apples randomly selected from a large consignment of apples.
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.