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.

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.
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Solution

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Solution Steps

Step 1: Assumptions for ANOVA

To conduct a one-way ANOVA, the following assumptions must be satisfied:

  1. Independence of Observations: The data collected from different groups must be independent.
  2. Normality: The data in each group should be approximately normally distributed.
  3. 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: \(df_{within} = 1615\)
  • F-statistic: \(F = 2.799946435502041 \times 10^{32}\)
  • P-value: \(P = 0.0\)
  • 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 \(0.0\).

\(\boxed{F = 2.799946435502041 \times 10^{32}, P = 0.0}\)

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