costs at the original budgeted activity level. True False 3. The overhead spending variance and the overhead efficiency variance are useful only if variable overhead really should be proportional to the activity measure that is being used in the flexible budget. True False 4. The variable overhead efficiency variance reflects how efficiently variable overhead resources were used. True False 5. A reason for keeping a constant denominator activity level is to maintain stability in the amount of
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data set TVHOURS.MTW in the Student14 folder. a) Prepare a pie chart for the variable “Educ.” Comment on the results. b) Prepare a segmented bar chart to examine “Educ” by “Gender.” Comment on the results. c) Prepare a histogram for the variable “HrsTV.” Comment on the shape of the distribution. d) Show descriptive statistics on the variable “HrsNews” for all age groups. Use the optional “By Variables” box; enter “AgeGrp” in the box. Comment on the results. Make sure to compare
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3-point scale. Let X denote the rating given by expert A and Y denote the rating given by B. The following table gives the joint distribution for X and Y . 4.12 If a dealer’s profit‚ in units of $5000‚ on a new automobile can be looked upon as a random variable X having the density function fx= 21-x‚0<x<10‚elsewhere find the average profit per automobile. 4.14 Find the proportion X of individuals who can be expected to respond to a certain mail-order solicitation if X has the density function. fx=
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1. Which of the following would increase the likelihood that a company would increase its debt ratio in its capital structure? a. An increase in costs incurred when filing for bankruptcy. b. An increase in the corporate tax rate. c. An increase in the personal tax rate. d. None of the statements above is correct. ANSWER: B An increase in the corporate tax rate would mean that firms would get larger tax breaks for interest payments. Therefore‚ firms have an incentive to increase interest payments
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using an average variable cost function of the form. AVC= a + bQ+ cQ^2 (the 2 is suppose to be exponent) Where AVC=dollars per vacuum cleaner and Q=number of vacuum cleaners produced each month. Total fixed cost each month is $180‚000. The following results were obtained: Dependent Variable:AVC R-Square F-Ratio P-Value on F Observations:19 0.7360 39.428 0.0001 Variable
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studies how to use limited resources and unlimited wanted. Q70. Of the following‚ which one is true? when an independent variable increases and the dependent variable also increases‚ the relationship between the two variables is positive. when an independent variable decreases and the dependent variable increases‚ the relationship between the two variables is inverse. On a graph the direct relationship is upward sloping and the inverse relationship is downward sloping. All of the above
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analysis of variance (MANOVA) is a generalized form of univariate analysis of variance (ANOVA). It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent variables; 2. what are the interactions among the dependent variables and 3. among the independent variables.[1] Where sums of squares appear in univariate analysis of variance‚ in multivariate analysis of variance certain positive-definite matrices appear
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CHAPTER 12 PRICING DECISIONS AND COST MANAGEMENT 12-1 The three major influences on pricing decisions are 1. Customers 2. Competitors 3. Costs 12-2 Not necessarily. For a one-time-only special order‚ the relevant costs are only those costs that will change as a result of accepting the order. In this case‚ full product costs will rarely be relevant. It is more likely that full product costs will be relevant costs for long-run pricing decisions. 12-3 Two examples of pricing decisions with
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CASH FLOW DIRECT/INDIRECT 1. Given the following information and using the indirect method prepare the Cash Flows from Operating Activities section of the statement of cash flows. End of Year Beginning of Year Change Cash 23‚500 37‚400 (13‚900) Accounts receivable (net)
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Independent Variables Chapter 8 is devoted to dummy (independent) variables. This How To answers common questions on working with and interpreting dummy variables. Questions: 1) How to include dummy variables in a regression? 2) How to interpret a coefficient on a dummy variable? 3) How to test hypotheses with dummy variables and interaction terms? 4) How to create a double-log functional form with dummy variables? 5) How to interpret a coefficient on a dummy variable with a log
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