Question

Below is output from an ANOVA on “Age” and the number of children living in the...

Below is output from an ANOVA on “Age” and the number of children living in the home (“ChildrenInHome”). Describe what this output is telling us about the relationship “between groups”.

ANOVA

ChildrenInHome

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

158.082

47

3.363

4.182

.000

Within Groups

189.816

236

.804

Homework Answers

Answer #1

Answer: There are significantly different number of children in 48 different homes. That is, there exists at least one home for which mean number of children is significantly different from others.

Explanation:

Null Hypothesis, Ho: There is no significant difference in the mean number of children living in 48 different homes.

Alternative Hypothesis, Ha: There exists at least one home for which mean number of children is significantly different from others.

Decision: SInce p-value = 0.000 is very very low so we Reject the Null Hypothesis.

Conclusion: We conclude that there exists at least one home for which mean number of children is significantly different from others.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
ANOVA                   DyeStrength    Sum of Squares df Mean Square F Sig. Between...
ANOVA                   DyeStrength    Sum of Squares df Mean Square F Sig. Between Groups   6259.267   2 3129.633 226.785   .000 Within Groups 372.600 27 13.800       Total 6631.867 29      How would I state this in APA? How would I state the null?
Looking at the results of the ANOVA, is there a significant difference in the mean alcohol...
Looking at the results of the ANOVA, is there a significant difference in the mean alcohol content for beers in the three quality groups? How do you know? Write the results in the following format: F(df value) = ___, p value = ______. ANOVA Alcohol by Volume (in %) for brand Sum of Squares df Mean Square F Sig. Between Groups .906 2 .453 4.357 .021 Within Groups 3.329 32 .104 Total 4.235 34
You are given the following ANOVA Single-factor output.                                 &n
You are given the following ANOVA Single-factor output.                                                                                                                Groups Count Sum Average Variance 1 3.00 166.00 55.33 156.33 2 3.00 213.00 71.00 444.00 3 3.00 197.00 65.67 114.33 4 3.00 219.00 73.00 508.00 5 3.00 235.00 78.33 786.33 6 3.00 160.00 53.33 92.33 7 3.00 256.00 85.33 10.33 8 3.00 206.00 68.67 574.33 9 3.00 210.00 70.00 333.00 10 3.00 290.00 96.67 2.33 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 4527.20 9.00 503.02 1.66...
Use the descriptive statistics and partial ANOVA summary table provided below to answer the questions below...
Use the descriptive statistics and partial ANOVA summary table provided below to answer the questions below regarding whether or not first year nurses' perceived pressure about their job differ according to their years at the job. Descriptives: Nurse’s perceived pressure about their job N Mean Std. Deviation 1.00 first 179 5.4637 1.78584 2.00 second 159 5.7788 1.54895 3.00 third 27 5.3642 1.82576 total 365 5.5936 1.69301 Test of Homogeneity of Variances Nurses perceived pressure about their job Levene Statistic Sig....
Part of an ANOVA table involving 8 groups for a study is shown below. Source of...
Part of an ANOVA table involving 8 groups for a study is shown below. Source of Variation Sum of Squares Degrees of Freedom Mean Square F Between Treatments 126 _____? _____? _____? Within Treatments 240 _____? _____? (Error) Total _____? 67 Complete all the missing values in the above table and fill in the blanks. Use α = 0.05 to determine if there is any significant difference among the means of the eight groups.
Finish Part of the ANOVA table output from JMP. Fill in the cell with "XX". Analysis...
Finish Part of the ANOVA table output from JMP. Fill in the cell with "XX". Analysis of Variance Source DF Sum of Squares Mean Square F Ratio Company 10 XX XX XX Error XX 1570.34 XX C. Total 50 7534.02 b)  (BONUS-J ) State decision of this test at 0.05 level: _________________________
Refer to the following SAS output, which corresponds to an ANOVA. Sum of Source DF Squares...
Refer to the following SAS output, which corresponds to an ANOVA. Sum of Source DF Squares Mean Square F Value Model 2 1.76 Error Total 19.74 This is all we are given, can you solve any parts of the question Please!!? a. How many groups are involved in this one-way ANOVA? b. What are the error degrees of freedom and corrected total degrees of freedom if N=63? c. Calculate the F value. d. What is the critical F value if...
2.   A partially completed ANOVA table is shown below. Fill in the missing 7 values. F-Table...
2.   A partially completed ANOVA table is shown below. Fill in the missing 7 values. F-Table Sum of Squares DF Mean Square F-Ratio p-value Method 2 500.00 Error 27 200.00 Total
A researcher is interested in whether there is a significant difference between the mean age of...
A researcher is interested in whether there is a significant difference between the mean age of marriage across three racial groups. Based on the data below, answer these questions. Race N Mean Black 118 21.57 White 882 24.59 Other 120 28.39 All Groups 1,120 24.68 1. Calculate the value of the between group sum of squares (SSB, 20 pts). Race Y bar for each group Total mean Group mean – Total mean Square of the difference The number of cases...
Based on the output below, interpret whether their is a violation, what the F statistic means,...
Based on the output below, interpret whether their is a violation, what the F statistic means, and what r says about the data. Levene's Test of Equality of Error Variancesa Dependent Variable:   EXAM SCORE F df1 df2 Sig. 9.573 7 192 .000 Tests the null hypothesis that the error variance of the dependent variable is equal across groups.a a. Design: Intercept + DEGREE + GENDER + DEGREE * GENDER Tests of Between-Subjects Effects Dependent Variable:   EXAM SCORE Source Type III...