If a=34 is t he lower limit of a uniform probability distributio?n possible x values, while the distribution's height equals .0125 in the ab range, the value of the distribution's upper limit
is b=114
A random variable that has an equal chance of assuming any value within a specified range along a continuous scale is called
a uniform random variable
Continous random variables that can assume values at all points on a scale of values, with no breaks between possible values, are quite common. Examples include all but which of the following?
The number of milk bottles on a shelf
Which one of the following statements is correct?
The random experiment of tossing a single coin once contains 2 simple events
Any quantitative variable the numerical value of which is determined by a random experiment, and thus by chance, is called.
a random variable
Normal distribution tables for cumulative relative frequencies often show
Either A or B
The obersavations about variables encountered in discrete probability distributions are
invariably countable and typically finite
A sequence of n identical trials of a random experiment such that each trial produces one of two possible complementary outcomes that are conventionally called success and failure and is independent of any other trial so that the probability of success or
is called the Bernoulli process
Which of the following best describes a cumulative probability distribution?
It is a probability distribution that shows, for each of a random variable's possible values, the likelihood of the variable being less than or equal to that value.
The probability distribution of a continuous random variable can be represented with the help of
a relative frequency histogram
Which of the following best describe the nature of permutations?
They are distinguishable ordered arrangements of items all of which have been drawn from a given group of items.
The sample space is a listing of all the basic outcomes of a random experiment
True
A random variable's name is designated by X; any one of it's possible values is symbolized by x
True
A uniform probability distribution involves random variable that inevitably takes on the same values within a given range.
False
A binomial random variable's probability distribution exhibits negative skewness whenever pie numerically, the probability of success in any one trial, is <.5
True
it is customary to list all the possible values of a continous random variable prior to determining the variable's probability distribution.
True
The normal random variable's density function is single packed above the variables mean, median, and mode, all which are equal to one another.
True
different random events that have no basic outcomes in common are elementary events
Fasle
All the basic outcomes contained in one or the other of two random events constitute the intersection of two events
False
According to the law of large numbers, the probablity that an empirically determined probability value will deviate significantly from a theoretically determined value becomes smaller as we increase the number of repetitions of the random experiment in qu
True
Unconditional probability is a measure of the likelihood of the simultaneous occurrence of two or more events; for events A and B, this probability is symbolized by p (A and B) or (AUB)
False