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 Video Answer: Get the answer to your homework problem. Try Numerade free for 7 days Best Match Question:Which of the following is not true concerning discrete probability distribution? The sum of all probabilities is 1. The distribution may be displayed using a probability histogram_ The standard deviation of the distribution is between 1 and 1. The probability of any specific value is between 0 and 1, inclusive: The mean of the distribution is between the smallest and largest value of the discrete random variable: DiscussionYou must be signed in to discuss. Video TranscriptHello everyone today. We have question according to the question even is find out which of the following is not real. For canceling discrete is three probability probability distribution. Now we can say we have given the following options and which of the option is that correct? We can tell about this weekend then the first option is the probability of the anti specific values between the zero and the one is inclusive. Then we can say in this is we can say this is the less than one and greater than zero. This is the inclusive case. But we tell about it. The discrete probability distribution, it is not the discrete probability distribution. Then we can see the option is the wrong answer. Now we go to the second option. The mean of the distribution is between the smallest and the largest value. Then this season also is not always to statement which is the sometimes sometimes this is always you can say the meal distribution is between the smallest. They can tell about the discrete probability distribution. Then we go to the third option then for the distribution distribution option is incorrect. Now we go to the third option, we can not at the standard division. We can then know that the standard aviation ballets formalizing equals the square root of variants and we know that the variance and under the square root they can say this is always the positive part and we get the output is also positive. So we can say that medication rains is always greater than zero because of this, the positive case and we can see this is that also equals to zero if case in case under the square root of zero to make it to get a zero value, but it is always positive. Always. Was it him? What? In the third option we can say the standard deviation is between the -12. It means it has contained the value of minus one minus 10.992 minus 0.1. These values are not comes from that. Then we can say this statement is not true. This statement is not true. Always. This statement is always the truth. So we can say the option sees the correct answer. Then we can say this is the correct answer of this question. Now we go to the fourth option. That distribution may be displayed using probability no, no, this is not a part of the concrete concerning the probability distribution some of the old abilities one, it is not always true In some cases the probability of the older one is not true. Then we can say the option C is the correct transfer of this question. I hope you listen to solution. Thank you Upgrade to remove ads Only ₩37,125/year
Terms in this set (29)C. For any event E, 0<P(E)<1, where P(E) is the probability of event E which statement about probability is not true? A.The probability of an impossible event is 0. D. The complement of event E is the set of outcomes which are in the sample space but not in event E. Which of the following statements correctly describes the complement of event E? A. The complement of event E is the set of all outcomes in the sample space for the experiment. C. 0 Suppose two events E and F are disjoint. What is P(E and F)? B. No because the probability of smoking is different for people who earn over $75000 per year, the events are not independent The probability that a randomly selected adult in a particular community is a smoker is 20%. The probability that a randomly selected adult in the community is a smoker, given that the adult earns more than $75,000 per year, is 10%. Are the events "is a smoker" and "earns more than $75,000 per year" independent? Explain. A. 1- (0.997)^1000 Suppose the probability that a randomly selected man, aged 55-59, will die of cancer during the course of the year is 300/100,000. How would you find the probability that at least 1 man out of 1,000 of this age will die of cancer during the course of the year? Requirements for a discrete probability distribution The sum of the probabilities must equal one. Each probability must be between zero and one inclusive. Explain how to find the mean of a discrete random variable. To find the mean of a random variable, multiply each value of the random variable by its probability and then add those products Identify which statement about the mean of a discrete random variable is not true or state that they are all true The mean must be a possible value of the random variable What is the mean of a probability distribution? The mean is the expected value of the random variable Which of the following is not a criterion for the binomial distribution The trials must be dependent Yes because the 100 adults represent less than 5% of the US adult population the trials can be treated as independent It is assumed that approximately 15% of adults in the U.S. are left-handed. Consider the probability that among 100 adults selected in the U.S., there are at least 30 who are left-handed. Given that the adults surveyed were selected without replacement, can the probability be found by using the binomial probability formula with x counting the number who are left-handed? Why or why not? n - x the number of failures nCx the number of ways to get x successes in n trials p^x the probability of success raised to the number of successes (1-p)^ n-x` the probability of failure raised to the number of failures As the probability of success increases, the probability distribution for a binomial variable becomes bell shaped Which of the following statements is not true about binomial probability distributions? The outcome of one trial does not affect the outcomes of the other trials What does it mean to say that the trials in a binomial experiment are independent of each other? = 0 The probability of observing a particular value of a continuous random variable is A. The curve must be symmetric & centered at 0 Identify which of the following statements is not a requirement for a probability density function or state that they all are. B. The graph must always be on or above the horizontal axis Identify which of the following statements about the graph of a probability density function is true or state that they are both true or neither are true. The curve becomes more spread out and the height decreases Which of the following statements is true about a normal density curve as standard deviation increases it is symmetric about its mean of 0 and has a standard deviation=1; the mean median & mode are all equal to 0; as the value of z increases, the graph approaches but never = 0 Properties of a standard normal curve The mean is 0 and the standard deviation is 1 Which of the following is a property of the standard normal curve, but not necessarily a property of every normal curve? Empirical (68-95-99.7) Rule 68% of all values fall within 1 standard deviation of the mean 5% According to the Empirical Rule, 95% of the area under the normal curve is within two standard deviations of the mean. What percent of the area under the normal curve is more than two standard deviations from the mean? 32% According to the Empirical Rule, 68% of the area under the normal curve is within one standard deviation of the mean. What percent of the area under the normal curve is more than one standard deviation from the mean? 16% According to the Empirical Rule, 68% of the area under the normal curve is within one standard deviation of the mean. What percent of the area under the normal curve is more than one standard deviation above the mean? No; since np<5, the normal distribution should not be used A survey found that 5% of adults have not visited a dentist in the last five years. Suppose you ask 50 adults selected at random if they have visited a dentist in the last five years. Should a normal distribution be used to approximate the distribution of the random variable x that counts the number of adults who have not visited a dentist in the last five years? the standard deviation of the distribution of the distribution of sample means What does the standard error of the distribution of sample means estimate? Students also viewedMA 180- Practice Test 232 terms
mdh017 5.3 Stats HW6 terms dalaney_summer PROBABILITY THEORY QUIZ FOR STATS 15921 terms csanidad512 ch. 4 quiz11 terms rulingtman Sets found in the same folderSTAT38 terms quizlette420737 Stats 3.1-3.319 terms Cori_Crossley Test use41 terms landache13 Estimating a Population Proportion (ch.…15 terms AmyVait Other sets by this creatorCh. 327 terms Tessa_Breed7 Ch. 226 terms Tessa_Breed7 Ch. 135 terms Tessa_Breed7 Chapter 5: Health Law13 terms Tessa_Breed7 Other Quizlet setsGeography final exam review31 terms Jordan_Hart60 Econ principles and problems micro68 terms Savannahhu13 ECON 358 Midterm70 terms marissacrespo787 MGMT 209 - Unit 178 terms laineemoses Which of the following is not true about probability distribution of discrete random variable?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.
What is true about the probability distribution function 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.
Which of the following is not a discrete probability distribution?1. Which of these is not a discrete probability distribution? Explanation: Hyper geometric distribution, Binomial distribution, and Poisson distribution are all part of discrete probability distribution family. But, Normal distribution is a Continuous distribution.
Which of the following statement is not an example of a discrete random variable?The correct answer to the given question is option c) The time spent by a physician with a patient. Among all the given options, only option c) (i.e. the time spent by a physician with a patient) cannot be represented by a discrete random variable as the time could assume a positive fraction value.
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Which statement is not true for a probability distribution for a discrete random variable?
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