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If A and B are any two events with P(A) = .8 and P(B|A) = .4, then the joint probability of A and B is

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The standard deviation of a probability distribution must be:

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Which of the following statements are true?

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  Given that Z is a standard normal random variable, P(-1.0 Z 1.5) is

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The standard deviation of a binomial distribution with parameters n and p is given by:

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If Z is a standard normal random variable, then the value z for which P(-z Z z) equals 0.8764 is

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The probability of an event and the probability of its complement always sum to:

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Given that the random variable X is normally distributed with a mean of 80 and a standard deviation of 10, P(85 X 90) is

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When using the graphical solution method to solve linear programming problems, the line that represents the objective function (assuming that the objective is to maximize profit) is referred to as the:

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Linear programming is a subset of a larger class of models called:

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In most cases in solving linear programming problems, we want the decision variables to be:

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Related to sensitivity analysis in linear programming, when the profit increases with a unit increase in a resource, this change in profit is referred to as the:

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Consider the following linear programming problem: Maximize 2x1 + 2x2 Subject to 4x1 + 3x2 > 12 -2x1 - 3x2 < 6 x2 > 2 x1, x2 > 0 The above linear programming problem:

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When we have a problem with Solver being able to find a solution, many times it is an indication that we have a (n):

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A solution to an LP problem that satisfies all of the constraints, including the nonnegativity constraints, is called the optimal solution.

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When formulating an LP spreadsheet model, there is one target (objective) cell that contains the value of the objective function.

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If an LP problem has been so constrained that there are no solutions that satisfy all the constraints, we say that it is unbounded.

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Infeasibility refers to the situation in which there are no feasible solutions to the LP model

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All linear programming problems should have a unique solution, if they can be solved.

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In a production process, the diameter measures of manufactured o-ring gaskets are known to be normally distributed with a mean diameter of 80 mm and a standard deviation of 3 mm. Any o-ring measuring 75 mm or less in diameter is defective and cannot be used. Using Excel, determine the percent or proportion of defective o-rings that will be produced. (Enter the value in either decimal or percent notation. If using decimal notation, enter the value using 4 places to the right of the decimal. If using percent notation, go two places to the right of the decimal. For example, decimal notation might be 0.0768 and percent notation would be 7.68. Do not enter words or symbols)

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The correlation coefficient is always a value between

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For a boxplot, the point inside the box indicates the location of the

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The difference between the first and third quartile is called the

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The length of the box in the boxplot portrays the

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For a boxplot, the box itself represents what percent of the observations?

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A correlation value of zero indicates.

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Regression analysis asks:

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In regression analysis, the variable we are trying to explain or predict is called the

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A multiple regression analysis including 50 data points and 5 independent variables results in 40. The multiple standard error of estimate will be:

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A "fan" shape in a scatterplot indicates:

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A multiple regression equation includes 6 independent variables, and the coefficient of multiple determination is 0.91. The percentage of the variation in Y that is explained by the regression equation is:

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Data collected from approximately the same period of time from a cross-section of a population are called:

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A multiple regression analysis included 4 independent variables results in sum of squares for regression of 1400 and sum of squares for error of 600. The multiple coefficient of determination will be:

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A single variable X can explain a large percentage of the variation in some other variable Y when the two variables are:

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Which of the following is not one of the summary measures for forecast errors that is commonly used?

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Holt’s model differs from simple exponential smoothing in that it includes a term for:

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Winters’ model differs from Holt’s model and simple exponential smoothing in that it includes an index for:

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Suppose that a simple exponential smoothing model is used (with = 0.30) to forecast monthly sandwich sales at a local sandwich shop. After June’s demand is observed at 1520 sandwiches, the forecasted demand for July is 1600 sandwiches. At the beginning of July, what would be the forecasted demand for August?

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A linear trend means that the time series variable changes by a

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The forecast error is the difference between

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When using exponential smoothing, a smoothing constant must be used. The smoothing constant is a value that:

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The moving average method can also be referred to as a(n)______________ method.

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