How often does a customer service call line receive a call?
How many hits does a website get in an hour?
How many minutes does a customer service call handle?
Can a normal probability distribution be converted to a standard normal distribution?
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Which of the following describes a continuous random variable?
A continuous random variable is one which takes an infinite number of possible values. Continuous random variables are usually measurements. Examples include height, weight, the amount of sugar in an orange, the time required to run a mile.
Which of the following is not a continuous probability distribution?
Therefore it is the discrete probability distribution. Hence the correct option is option C. That is poison.
Which of the following is not true for a random variable?
This is Expert Verified Answer Random variable can only have one value" is not true. A variable in an equation can satisfy the equation such that its value is zero. So, it is possible that the value of a random variable is zero. A random can have a single value but it is not necessary that it only has one value.
Which one of the following is not true for discrete random variable?
Statement B is not true for discrete random variables because it says they can assume only a countable number of values, but discrete random variables are for finite and infinite sequence of values.
Which of the following is true for a distribution function of continuous random variable?
Answer and Explanation: Alternative C. Probabilities of events are determined from areas under the curve, presents the only true statement regarding continuous random variables because: 1) The height of the curve shows the density, not the probability of an event.
Which of the following is an example of a continuous distribution?
The normal distribution is one example of a continuous distribution.
Which of the following Cannot be the value of probability of the random variable?
Answer and Explanation: A probability ranges from 0 to 1 . That is, any negative number cannot be treated as a probability.
Which of the following is continuous variable?
Answer: Continuous variables can take on an unlimited number of values between the lowest and highest points of measurement. Continuous variables include such things as speed and distance. For example, when you measure height, weight, and temperature, you have continuous data.
Which of the following is a true statement a random variable can only have one value?
Random variables can only have one value. The probability of the value of a random variable could be zero. The sum of all the probabilities in a probability distribution is always equal to one.
Which one of the following is not a continuous variable?
Height is not an example of a continuous variable.
Which of the following must be true for the probability distribution of a discrete random variable?
In the development of the probability function for a discrete random variable, two conditions must be satisfied: (1) f(x) must be nonnegative for each value of the random variable, and (2) the sum of the probabilities for each value of the random variable must equal one.
What is the difference between discrete random variable and continuous random variable?
A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon. A discrete random variable X has a countable number of possible values.
Which of the following is a continuous probability distribution?
Which of these is a continuous distribution? Explanation: Pascal, binomial, and hyper geometric distributions are all part of discrete distribution which are used to describe variation of attributes. Lognormal distribution is a continuous distribution used to describe variation of the continuous variables. 3.
Which of the following distribution is a continuous distribution?
Answer: The normal distribution is the continuous distribution.
Which of the following is not the type of probability distribution?
The correct option is option (c) Independent. The independent probability is not a definition of probability.
Is Poisson distribution continuous?
Is the Poisson Distribution Discrete or Continuous? Because it measures discrete counts, the Poisson distribution is also a discrete distribution. This can be contrasted with the normal distribution, which is continuous.
Business Statistics Chapter 7 Quiz Flashcards | Quizlet
Study with Quizlet and memorize flashcards containing terms like The shape of any uniform probability distribution is _____. A. negatively skewed B. positively skewed C. rectangular D. bell-shaped, What is an important similarity between the uniform and normal probability distribution? A. the mean, median, and mode are all equal B. the mean and median are equal C. they are negatively skewed D ...
Business Statistics Chapter 7 Flashcards | Quizlet
68%, 95%, 99.7% if a random variable is normally distributed, then: 1. Approximately 68% of the observations will lie within plus and minus one standard deviation of the mean.
How often does a customer service call line receive a call?
On average a customer service call line receives a call every three minutes. Use the exponential distribution to find the probability that the next call will arrive in less than five minutes.
How many hits does a website get in an hour?
On average a certain website receives 3 hits each hour (1 hit each 20 minutes). Use the exponential distribution to find the probability that it will receive a hit in less than 30 minutes.
How many minutes does a customer service call handle?
On average a customer service call line handles a rate of three per minute. If we are going to describe this wait time for service using an exponential distribution, what is the rate parameter?
Can a normal probability distribution be converted to a standard normal distribution?
A normal probability distribution can be converted into a standard normal distribution.
About This Quiz & Worksheet
Inside this quiz you will find questions that cover random variables. Questions also deal with types of probability distribution.
Additional Learning
Further information about this subject is found in the lesson titled Developing Continuous Probability Distributions Theoretically & Finding Expected Values. This gives you the opportunity to learn about:
How often does a customer service call line receive a call?
On average a customer service call line receives a call every three minutes. Use the exponential distribution to find the probability that the next call will arrive in less than five minutes.
How many hits does a website get in an hour?
On average a certain website receives 3 hits each hour (1 hit each 20 minutes). Use the exponential distribution to find the probability that it will receive a hit in less than 30 minutes.
How many minutes does a customer service call handle?
On average a customer service call line handles a rate of three per minute. If we are going to describe this wait time for service using an exponential distribution, what is the rate parameter?
Can a normal probability distribution be converted to a standard normal distribution?
A normal probability distribution can be converted into a standard normal distribution.
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