Analyzing with Anova, writing homework help

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Assignment 2: Analyzing with ANOVA

Submit your answers to the following questions using the ANOVA source table below. The table depicts a two-way ANOVA in which gender has two groups (male and female), marital status has three groups (married, single never married, divorced), and the means refer to happiness scores (n = 100):

  1. What are the independent variables and their levels? What is the dependent variable?
  2. State all null hypotheses associated with independent variables and their interaction? Also suggest alternate hypotheses?
  3. What are the degrees of freedom for 1) gender, 2) marital status, 3) interaction between gender and marital status, and 4) error or within variance?
  4. Calculate the mean square for 1) gender, 2) marital status, 3) interaction between gender and marital status, and 4) error or within variance.
  5. Calculate the F ratio for 1) gender, 2) marital status, and 3) interaction between gender and marital status.
  6. Identify the critical Fs at alpha = .05 for 1) gender, 2) marital status, and 3) interaction between gender and marital status.
  7. If alpha is set at .05, what conclusions can you make?
SourceSum of Squares(degrees of freedom [df])Mean SquareFobt.Fcrit.
Gender68.15????
Marital Status127.37????
Gender * Marital Status (A x B)41.90????
Error (Within)864.82??NANA
Total1102.2499NANANA

Tutor Answer

ephykam
School: UC Berkeley

Attached.

Running head: ANOVA ANALYSIS

1

Analyzing in ANOVA
Student’s Name
Institutional Affiliation

ANOVA ANALYSIS

2
Analyzing in ANOVA

ANOVA analysis is a statistical model utilized in determining the existence of any
difference between the means of groups related to the procedures (Henson, 2015). The
disquisition entails ANOVA analysis in a study investigating the association between gender,
marital status and the happiness score for the participants. The sample size n for the study is 100
interviewees.
Independent and Dependent Variables and the Levels of Measurement
Independent Variable
The independent variables in the study are the gender and the marital status of the respondents.
Notably, the elements for gender and marital status reveal a Nominal level of measuremen...

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Anonymous
Outstanding Job!!!!

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