When using the free-cash flow model, cash flows are discounted at the weighted average cost of capital (WACC) and when using the dividend discount model, dividends are discounted at….
Topic 8 DQ 2 Urgent 5 Hours
Dr. Bill Board designs a 2 X 2 between-subjects factorial design, where Factor A is word frequency (low or high) and Factor B is category cues (no cues or cues). Assume that the data are interval. What type of statistic is needed to analyze the data?
A factorial design is the design that make us know the interaction of factor A* factorB. We can draw the tree as followings;
FactorA: Alow and Ahigh
FactorB: Bno cue and Bcue
Alow ————-Bno cue———–Alow Bno cue
Ahigh————Bno cue———–Ahigh Bno cue
I think we should use two-factor F-test to Analyze. Before we anaylze, we utilize the normality distribution, the Independence between observations and groups and the population variances are equal across factors.
Statistics how to. (2020). ANOVA Test: Definition, Types, Example. Retrieved
Witte, J. & Witte, R. (2017). Statistics (11ed.). Hoboken, NJ: John Wiley & Sons. Retrieved
Topic 8 DQ 2
Chi square statistics to investigate whether distributions of categorical variables are different from one another, and to conclude if there is an important relationship between the two nominal variables. Therefore Chi square is the best test to study the relationship of independence.
Witte, R. & Witte, S. (2017). Statistics (11th ed.). Wiley. ISBN-13: 9781119254515