Questions: The 2021 General Social Survey contains information on the number of days that in a typical week, respondents eat beef, lamb, or products that contain them by level of education. The data are presented below.
Less than high school High school Bachelor's degree Graduate Total
------------------
Mean 3.28 3.19 2.70 2.40 2.97
Standard deviation 2.048 2.036 1.974 1.934 2.032
N 87 677 473 382 1.619
Specify the assumptions required in order to employ ANOVA procedures and conduct an F test.
Transcript text: The 2021 General Social Survey contains information on the number of days that in a typical week, respondents eat beef, lamb, or products that contain them by level of education. The data are presented below.
\begin{tabular}{|l|l|l|l|l|l|}
\hline & \begin{tabular}{l}
Less than \\
high school
\end{tabular} & High school & \begin{tabular}{l}
Bachelor's \\
degree
\end{tabular} & Graduate & Total \\
\hline Mean & 3.28 & 3.19 & 2.70 & 2.40 & 2.97 \\
\hline \begin{tabular}{l}
Standard \\
deviation
\end{tabular} & 2.048 & 2.036 & 1.974 & 1.934 & 2.032 \\
\hline$N$ & 87 & 677 & 473 & 382 & 1.619 \\
\hline
\end{tabular}
Specify the assumptions required in order to employ ANOVA procedures
* 1 point
and conduct an F test.
Solution
Solution Steps
Step 1: Assumptions for ANOVA
To conduct a one-way ANOVA, the following assumptions must be satisfied:
Independence of Observations: The data collected from different groups must be independent.
Normality: The data in each group should be approximately normally distributed.
Homogeneity of Variances: The variances among the groups should be approximately equal.
Step 2: Calculate Sum of Squares
The calculations for the sum of squares are as follows:
The sum of squares between groups is given by:
\[
SS_{between} = \sum_{i=1}^k n_i (\bar{X}_i - \bar{X})^2 = 181.9669
\]
The sum of squares within groups is calculated as:
\[
SS_{within} = \sum_{i=1}^k \sum_{j=1}^{n_i} (X_{ij} - \bar{X}_i)^2 = 0.0
\]
Step 3: Calculate Mean Squares
The mean squares are calculated using the sum of squares and the degrees of freedom:
Mean square between groups:
\[
MS_{between} = \frac{SS_{between}}{df_{between}} = \frac{181.9669}{3} = 60.6556
\]
Mean square within groups:
\[
MS_{within} = \frac{SS_{within}}{df_{within}} = \frac{0.0}{1615} = 0.0
\]
Step 4: Calculate F-statistic
The F-statistic is calculated as:
\[
F = \frac{MS_{between}}{MS_{within}} = \frac{60.6556}{0.0} = 2.799946435502041 \times 10^{32}
\]
Since \(MS_{within} = 0\), the F-statistic approaches infinity.
Step 5: Calculate P-value
The p-value is calculated using the F-distribution:
\[
P = 1 - F(F_{observed}; df_{between}, df_{within}) = 1 - F(2.799946435502041 \times 10^{32}; 3, 1615) = 0.0
\]
Step 6: Summary of Results
Degrees of Freedom Between Groups: \(df_{between} = 3\)
Degrees of Freedom Within Groups: \(df_{within} = 1615\)
Mean Square Between Groups: \(MS_{between} = 60.6556\)
Mean Square Within Groups: \(MS_{within} = 0.0\)
Final Answer
The results of the ANOVA test indicate a significant difference in the means across the education levels, with an F-statistic of \(2.799946435502041 \times 10^{32}\) and a p-value of \(0.0\).
\(\boxed{F = 2.799946435502041 \times 10^{32}, P = 0.0}\)