Final Exam ReviewNet present value calculation – tables are provided
Payback period calculation
Budget calculations for:
Cash collections
Cash receipts
Number of units to manufacture with beginning and ending inventory requirements
Direct Labor Cost
Predetermined overhead rate for application of manufacturing overhead
Cash disbursements
Cash balance – with and without minimum balance requirements
Purchases with beginning and ending inventory requirements
Net income
Cost of Goods Sold
Flexible budget calculations – remember you base flexible budgets on actual level of activity and
budgeted variable costs per unit and budgeted total fixed costs
Activity variance calculation – difference in flexible and planned budget numbers
Materials price and quantity variance – unfavorable and favorable
Direct labor rate and efficiency variables – unfavorable and favorable
Throughput time calculation
Delivery cycle time calculation
Return on Investment (ROI) calculation
Data Analysis for Managers: Applied Statistics in Business and Economics Exam
Listed below are the learning objectives and Topics of Test Exam Part 1
LO-1. Explain the assumptions of ANOVA and why they are important.
LO-2. Recognize from data format when one-factor ANOVA is appropriate.
LO-3. Interpret sums of squares and calculations in an ANOVA table.
LO-4. Use Excel or other software for ANOVA calculations.
LO-5. Use a table or Excel to find critical values for the F distribution.
LO-6. Recognize from data format when two-factor ANOVA is needed.
LO-7. Interpret results in a two-factor ANOVA without replication.
LO-8. Interpret main effects and interaction effects in two-factor ANOVA.
LO-9. Find degrees of freedom and use the chi-square table of critical values.
LO-10. Perform a chi-square test for independence on a contingency table.
LO-11. Perform a goodness-of-fit (GOF) test for a multinomial distribution.
Listed below are the learning objectives and Topics of Test Exam Part 2
LO-1. Calculate and test a correlation coefficient for significance.
LO-2. Interpret a regression equation and use it to make predictions.
LO-3. Explain the form and assumptions of a simple regression model.
LO-4. Explain the least squares method, apply formulas for coefficients, and interpret R2.
LO-5. Interpret the ANOVA table and use it to compute F, R2, and standard error.
LO-6. Calculate residuals and perform tests of regression assumptions.
LO-7. Identify unusual residuals and tell when they are outliers.
LO-8. Use a fitted multiple regression equation to make predictions.
LO-9. Use the ANOVA table to perform an F test for overall significance.
LO-10. Construct confidence intervals for coefficients and test predictors for significance.
LO-11. Incorporate categorical variables into a multiple regression model.
LO-12. Perform basic tests for nonlinearity and interaction.
LO-13. Detect multicollinearity and assess its effects.
LO-14. Analyze residuals to check for violations of residual assumptions.
LO-15. Identify unusual residuals and tell when they are outliers.
Please watch these sample videos to understand concepts and solutions.
Please watch these Practice Test videos to understand how to answer in the exam test.
Here are the Practice Test Exam 3 videos YouTube links:
Practice Exam 3 – Part 1
https://www.youtube.com/watch?v=ulqd_vbsOEw
Practice Exam 3 Chi-Square Problems
https://www.youtube.com/watch?v=7l1s3ALmsME
Zoom 10-8-21 Practice Exam 3
https://www.youtube.com/watch?v=sl1Tnuhu1CY
Please watch these videos and let me know when you are ready today to take this practice
test exam. This time please help me to at least 80% to 90% from 100% please.
We will start at your time today.