The following table shows the cross-classification of accounting practices (either straight line, declining balance, or both) and country (either France, Germany, or United Kingdom).     France Germany United Kingdom Straight Line 20 11 30 Declining Balance 14 16 15 Both 15 23 13 c.Compute the p-value. d.Does the evidence suggest market capitalization and objective are dependent at the 1% significance level?

Use the data from the following four stocks to answer the questions below:   Yields Year TLS DI PFE WMT 20x5 12.00% 4.50% 5.80% 11.30% 20x6 13.30% 5.30% 5.70% 9.00% 20x7 10.20% 3.10% 5.90% 13.90% 20x8 9.30% 2.70% 4.50% 14.80% 20x9 8.60% 1.90% 6.30% 15.00% a. Classify the correlations between each pair of stocks as positive correlation (PC), perfectly positive correlation (PPC), negative correlation (NC), perfectly negative correlation (PNC), and no correlation (NC): TLS – DI  ___________           DI – PFE __________ TLS – PFE  __________          DI – WMT _________ TLS – WMT _________          PFE – WMT _________

An investor is looking at past trends for three plans comparing dividends paid per share. She collects sample data from each plan to compare the average dividends paid per share. Let  ? = 0.05. Plan 1 Plan 2 Plan 3 1.28 1.00 0.35 1.55 1.19 1.15 1.86 1.25 0.15 1.95 3.17 1.00 0.75 1.46 0.30 2.68 0.60 0.61 2.03 1.31 1.04 Groups Count Average Variance Plan 1 7 1.728571 0.375514 Plan 2 7 1.425714 0.667762 Plan 3 7 0.657143 0.164724 Source of Variation Sum of Squares df Mean Squares F P F crit Between Groups 4.2709 2 2.1354 5.3033 0.0155 3.5546 Within Groups 7.2480 18 0.4027       Total 11.5189 20         (a) What is the next step in the one-way ANOVA? There is not enough information, so collect more data.Stop, the results were not significant. The Tukey-Kramer post hoc test is not needed.    Stop, the results were significant. The Tukey-Kramer post hoc test is not needed.Continue to the Tukey-Kramer post hoc test, as the results were…

or each predictor variable, state the P-value and determine whether the predictor variable is significant in explaining delivery charges.   Predictor variables P-value Significant in explain   Delivery charges   Distance .................. ..............   Weight .................. ..............   Boxes ............... .................