Suppose that 1 out of 4 eggs contain the Salmonella virus, andeggs are independent of each other with regard to havingSalmonella. If Sue uses 3 eggs to bake a cake, the distributiondescribing the probability of getting eggs with the virus is
| | binomial, with n = 4 and p=1/3 |
| | binomial, with n = 3 and p = 1/3 |
| | binomial, with n = 3 and p= 1/4 |
| | not binomial |
Which of the following is a characteristic of the binomialdistribution?
| | The probability changes from trial to trial |
| | The outcome of each trial depends on the outcome of the previoustrial |
| | Each trial typically has 3 outcomes |
| | The probability of success is constant, trial to trial |
A coin is weighted so that it turns up heads 60% of the time. Ifthe coin is flipped 10 times, and the flips are independent of eachother, the distribution is
| | binomial, with n = 60 and p = 1/10, or 0.1 |
| | binomial, with n = 10 and p = 0.6 |
| | binomial, with n = 10 and p = 1/2, or 0.5 |
| | not binomial |
Which of the following is not a characteristic of a binomialdistrIbution?
| | 2 and only 2 outcomes per trial |
| | At least 3 outcomes per trial |
| | The probability of success does not change from trial totrial |
| | The outcome of a trial does not affect the outcome of the nexttrial |
As the number of trials gets large, a binomial distributionstarts to resemble a
| | Right-skewed distribution |
| | uniform distribution |
| | normal distribution |
| | linear regression line |
In order for n to be large enough for the normal distribution tobe able to approximate the binomial, n must be
a. np > 10
b. np > 10 and n(1-p) > 10
c. n > 100
d. n > 100 and p > 0.1
