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Exam 5: Probability and Probability Distributions

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Exam 1: Introduction to Business Analytics24 Questionsadd course
Exam 2: Describing the Distribution of a Variable73 Questionsadd course
Exam 3: Finding Relationships Among Variables56 Questionsadd course
Exam 4: Business Intelligence Bifor Data Analysis62 Questionsadd course
Exam 5: Probability and Probability Distributions132 Questionsadd course
Exam 6: Decision Making Under Uncertainty79 Questionsadd course
Exam 7: Sampling and Sampling Distributions78 Questionsadd course
Exam 8: Confidence Interval Estimation60 Questionsadd course
Exam 9: Hypothesis Testing70 Questionsadd course
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Exam 13: Introduction to Optimization Modeling70 Questionsadd course
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Exam 15: Introduction to Simulation Modeling58 Questionsadd course
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Exam 17: Data Mining30 Questionsadd course
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If the value of the standard normal random variable Z is positive,then the original score is where in relationship to the mean?

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Question 41

The Poisson random variable is a discrete random variable with infinitely many possible values.

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Question 42

How many of the wells can the company expect to be successful?

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Question 43

The variance of a binomial distribution is given by the formula The variance of a binomial distribution is given by the formula ,where n is the number of trials,and p is the probability of success in any trial. ,where n is the number of trials,and p is the probability of success in any trial.

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Question 44

The number of cars produced by GM during a given quarter is a continuous random variable.

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Question 45

Which equation shows the process of standardizing?

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Question 46

Two or more events are said to be exhaustive if at most one of them can occur.

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Question 47

Find the probability that the number of arrivals between 3:30 and 4:00 P.M.is at least 10.

(Short Answer)
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Question 48

An exponential distribution with parameter An exponential distribution with parameter = 0.2 has mean and standard deviation both equal to 5. = 0.2 has mean and standard deviation both equal to 5.

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Question 49

​A probability tree is a graphical representation of how events occur through time,which is useful for calculating probabilities.

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Question 50

The Poisson distribution is applied to events for which the probability of occurrence over a given span of time,space,or distance is very small.

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Question 51

The binomial random variable represents the number of successes that occur in a specific period of time.

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Question 52

According to the empirical rule,how many observations lie within +/- 1 standard deviation from the mean?

(Multiple Choice)
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Question 53

What is the probability that GM will sell between 2.0 and 2.3 million cars during the next year?

(Short Answer)
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Question 54

The probabilities shown in a table with two rows, The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is and The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is and two columns, The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is and The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is ,are as follows: P( The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is and The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is )= 0.10,P( The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is and The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is )= 0.30,P( The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is and The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is )= 0.05,and P( The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is and The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is )= 0.55.Then P( The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is | The probabilities shown in a table with two rows, and and two columns, and ,are as follows: P( and )= 0.10,P( and )= 0.30,P( and )= 0.05,and P( and )= 0.55.Then P( | ),calculated up to two decimals,is ),calculated up to two decimals,is

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Question 55

The Poisson distribution is characterized by a single parameter The Poisson distribution is characterized by a single parameter ,which must be positive. ,which must be positive.

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Question 56

Two events A and B are said to mutually be exclusive if P(A and B)= 0.

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Question 57

Find the expected demand (in units)for the upcoming quarter.

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Question 58

If two events are independent,what is the probability that they both occur?

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Question 59

Find the mean and the variance of X.

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Question 60
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