Which is the most striking feature of a two-factor ANOVA?

You intend to conduct an ANOVA with 31 subjects, which will be divided into 3 treatment groups. (Because it will be impossible to have equal sized groups, this is referred to as an "unbalanced" single-factor ANOVA.) What are the degrees of freedom for the numerator? d.f.(treatment) = What are the degrees of freedom for the denominator? d.f.(error) =

Describe a scenario where a researcher could use a Two-Way ANOVA to answer a research question. Fully describe the scenario and the variables involved and explain the rationale for your answer. Why is that test appropriate to use?

Analysis of variance is a technique used to conduct a hypothesis test to compare three or more population proportions simultaneously true or false?

Explain what happens during each of the two stages of the two-factor ANOVA.

Explain with the help of example ONE-FACTOR ANOVA.

Analysis of Variance (ANOVA) Researchers conducted a study to evaluate the effectiveness of three alcohol treatment programs. The researchers randomly assigned each of the 15 patients to receive one of these treatments. Sixty days later, the researchers measured the effectiveness of the program. One of their measures was the patient’s self-reported need to use alcohol. It was measured on a scale of 1 (low need) to 10 (high need). Test the null hypothesis that the patient’s self-reported need to use alcohol does not differ by type of treatment. Write a concluding statement. Treatment A Treatment B Treatment C 8 6 6 10 5 5 10 10 2 8 2 2 10 4 1

for a two way factor anova comparing the possible interaction between religion and anxiety, what is the alternative

Students in an AP Statistics class wanted to determine if a person's hand span is associated with the number of candies he or she can pick up from a bowl of candy. For the fourteen students in the class, each student's hand span and the number of candies he or she was able to pick up was recorded. A least- squares analysis was conducted on the number of candies versus hand span. The conditions for inference were checked and deemed reasonable. The regression analysis output is given in the table below. Predictor Constant Coef -8.74 SE Coef T P 10.81. -0.81 0.434 Hand span 1.26 0.52 2.44 0.031 S=3.34 R-Sq 33.1%

review(5a): Given the ANOVA table below ,how many groups are there? Source                     SS                              df                   MS                           Fstatistic Between                  324 Within                     1215                                                   27 total                      1539                           49 (a) 49 (b) 5 (c) 4 (d) 50