25. The weight of an object, measured in grams, is an example of a. a discrete r
ID: 3315232 • Letter: 2
Question
25. The weight of an object, measured in grams, is an example of a. a discrete random variable b. either a continuous or a discrete random variable depending on the units of measurement either a continuous or a discrete random variable, depending on the weight of the object a continuous random variable c. d. 26, Refer to Exhibit 2, compute , the standard deviation of x. a. 2.12 b. 1.51 c. 1.36 d. 1.69 Which of the following is not a characteristic of an experiment where the binomial probability distribution is applicable? a. the experiment has a sequence of n identical 27. trials exactly two outcomes are possible on cach trial the probabilities of the outcomes do not change from one trial to another the trials are dependent b. c. d. 28. Given that z is a standard normal random variable, what is the value ofz if the area to the right of z is 0.1112? a. 0.3888 b. 2.22 c. 3.22 d. 1.22 The expected value of a random variable is the a. value of the random variable that occurs 29. frequently value of the random variable that should be observed on the next repeat of the experiment b. c. square root of the variance d. None of the answers is correctExplanation / Answer
Answer:-
25]
d] a continuous random variable
26] incomplete quation because refer to exhibit 2 means what
27]
d] the trials are dependent
because , in binomial distribution trials are independent
28]
d] 1.22
29]
d] None of the answer is correct.
because, The expected value is the average value which is intuitive in long run value by repeatedly performing the experiment which it is representing.
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