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- 1. Data: Lower control limit = 30, upper control limit = 33; overall sample mean = 31, standard deviation = 0.5. Calculate Cpk using z=3. Is the process capable? What is the Cpk? Yes, 1.33 No, 1.33 Yes, 0.67 No, 0.67 2. A machine costs $102,000 with a projected annual operating and maintenance cost of $10,000 and a salvage value of $36,000 after 3 years. If the cash flows are discounted annually at 12 percent what is the NPV? A. $2,361 B. -$100,378 C. -$121,987 D. -$48,271The following data show the results of random sample of 10 batches of one pattern of product: Sample Batch Size X Support Costs Y 1 10 10$ 2 12 15 3 15 20 4 20 22 5 10 15 6 25 25 7 20 30 8 12 10 9 15 20 10 30 30 Calculate: Using regression analysis (Y=a + bx ) and predict support cost for a batch size X = $10 then what is Mixed Cost ?Given: Population- 500 accounts Sample- 100 accounts Book Value of Sample- $20,000 Population Book Value- $75,000 Audit Value of Sample- $18,000 Tolerable error- $8,000 Using $ ratio estimation, the total projected error is Using $ ratio estimation, the total projected error is a. $8,000 b. $10,000 c. $7,500 d. $25,000 e. $17,000
- Please include excel formula Using the following returns, calculate the arithmetic average returns, the variances, and the standard deviations for X and Y. Input area: Year X Y 1 13% 27% 2 26% 36% 3 7% 11% 4 -5% -29% 5 11% 16% (Use cells A6 to C11 from the given information to complete this question. You must use the built-in Excel function to answers this question. Make sure to use the “sample” Excel formulas.) Output area: Asset X: Average return Variance Standard deviation Asset Y: Average return Variance Standard deviationImagine that for a study, data is to be collected from a population size of 9000 items. The population is divided into strata of size 2700, 1800 and 4500 respectively. The required sample size is 100. The number of items that is selected from the strata to form sample is: a. 30, 16 and 54 b. 30, 20 and 50 c. 29, 21 and 50 d. 30, 19 and 51 fast plz i dont have timeFrom the sampling information provided below, determine the projected error for each scenario independently and conclude on the impact to materiality if performance materiality is set at $6,500. (Round answers to O decimal places, eg. 5,275. Enter negative amounts using either a negative sign preceding the number eg.-45 or parentheses e.g. (45).) Scenario 1 2 3 Error $(3,244) $4,500 $2,721 Sample $43.100 $11,000 $20,568 Population $64,960 $19,000 $52,456 $ $ $ Projected Error Impact
- The following computer printout was generated, using regression, for use in estimating maintenance costs. Intercept 8300 X Variable 1 37 Multiple R 0.9500 R Square 0.9025 Activity variable machine hours An estimate of maintenance costs at an activity level of 100 machine hours would be:Five observations taken for two variables follow. a. Develop a scatter diagram with x on the horizontal axis. b. What does the scatter diagram developed in part a indicate about the relationship between the two variables? c. Compute and interpret the sample covariance. d. Compute and interpret the sample correlation coefficient.In a manufacturing process the assembly line speed (feet per minute) was thought to affect the number of defective parts found during the inspection process. To test this theory, managers devised a situation in which the same batch of parts was inspected visually at a variety of line speeds. They collected the following data: Develop a scatter chart with line speed as the independent variable. What does the scatter chart indicate about the relationship between line speed and the number of defective parts found? Use the data to develop an estimated regression equation that could be used to predict the number of defective parts found, given the line speed. What is the estimated regression model? Test whether each of the regression parameters β0 and β1 is equal to zero at a 0.01 level of significance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? How much of the variation in the number of defective parts found for the sample data does the model you estimated in part (b) explain?
- Return to the waiting times given for the physicians office in Problem 19. a. Considering only offices without a wait-tracking system, what is the z-score for the 10th patient in the sample (wait time 5 37 minutes)? b. Considering only offices with a wait-tracking system, what is the z-score for the 6th patient in the sample (wait time 5 37 minutes)? How does this z-score compare with the z-score you calculated for part a? c. Based on z-scores, do the data for offices without a wait-tracking system contain any outliers? Based on z-scores, do the data for offices without a wait-tracking system contain any outliers? 19. Suppose that the average waiting time for a patient at a physicians office is just over 29 minutes. To address the issue of long patient wait times, some physicians offices are using wait-tracking systems to notify patients of expected wait times. Patients can adjust their arrival times based on this information and spend less time in waiting rooms. The following data show wait times (in minutes) for a sample of patients at offices that do not have a wait-tracking system and wait times for a sample of patients at offices with such systems. a. What are the mean and median patient wait times for offices with a wait-tracking system? What are the mean and median patient wait times for offices without a wait-tracking system? b. What are the variance and standard deviation of patient wait times for offices with a wait-tracking system? What are the variance and standard deviation of patient wait times for visits to offices without a wait tracking system? c. Create a box plot for patient wait times for offices without a wait-tracking system.Crystal Mining has completed the following data to analyze utility cost:MonthMachine Hours Utility CostJanuary200P 300February325440March400480April410490May525620June680790July820840August900900Required:1.Use the least squaresmethod to develop a formula for budgeting utility cost. (Round off value of b to two decimal places and the value of a to nearest peso.2.Prepare flexible budget with separate variable and fixed categories for utility costs at 350, 500, and 600 machine hours.Using the format dicaksed in Exthbit 21.10 and Exhibit 21.11 of your textbook or formulas solve for the following variance. You may use EXCEL WORD. Picture of Paper, or enter your work into Camvas. I will cover how to do this during the Zoom recorded lecture for that week or during a recording Standard Quantities and Costs: DM (.25 it per unit at $10 per foot)=$2.50 DL(5hour per unit at 520 per hour)=$10.00Total Dirsct Cost per unit=$12.50 Additional information: During the period, MK, Inc, badgeted to produce 2.000 widgets, it actually produced 1.900 widgets. K Actual Quantibes, and Costs: DM purchased & used = 505 feet at $9.80Dthours used +990 hours at $19.75 Required: Calculate the following variances using the matrix format mentioned above or formulas: -Price Variance - Quantity Variancer - Total DM Vanance - Rate Variarice - Eificiency Variance - Total DL Variance