Discrete probability distributions
When the discrete random variable is expressed in terms of dollars, the mean of the distribution is known as the
Expected monetary value
A listing of all the possible outcomes of an experiment for a discrete random variable along the with relative frequency of each outcome is called a discrete probability distribution
True
An expected valie is another term for he mean of a probabilty distribution
True
Because of the ambiguity of the intervals, technically, it's not proper to calculate the mean and standard deviation of ordinal data
True
Discrete random variables have outcomes that typically take on while numbers as a result of conducting an experiment
True
In a binomial experiment, the number of successes can never exceed the number of trials
True
Rating the satisfaction of a hotel on a 1-4 scale is an example of a discrete random variable.
True
Testing whether a part is defective or not defective after it has been manufactured would be best described using a binomial probability distribution
True
The Poisson distribution can be used to approximate the binomial distribution when the number of trials is greater than 20 and the probability of success is less than or equal to 0.05
True
The mean of a discrete probability distribution is the weighted average of the outcomes of the random variables that comprise it
True
The mean of the binomial distribution represents the long term average number of successes to expect based on the number of trials conducted
True
The number of successes in a binomial experiment most range from zero to n
True
The number of typographical errors found in a manuscript would best be described using a poisson probability distribution
True
The data that results from a survey question that uses the Likert Scale is the
Ordinal
The BLANK of a discrete probability distribution measures the dispersion of each outcome of the random variable from the mean of the distribution
Standard deviation
Which of the following is NOT a condition of a discrete probability distribution?
The probability of a success must exceed the probability of a failure
Which of the of the following is NOT a characteristic of a binomial experiment
The probability of a success must exceed the probability of a failure
