Questions: The following data represent weights (pounds) of a random sample of professional football players on the following teams. X1 = weights of players for the Dallas Cowboys X2 = weights of players for the Green Bay Packers X3 = weights of players for the Denver Broncos X4 = weights of players for the Miami Dolphins X5 = weights of players for the San Francisco Forty Niners You join a Fantasy Football league and you are wondering if weight is a factor in winning Football games What is the MSwithin?

The following data represent weights (pounds) of a random sample of professional football players on the following teams.

X1 = weights of players for the Dallas Cowboys
X2 = weights of players for the Green Bay Packers
X3 = weights of players for the Denver Broncos
X4 = weights of players for the Miami Dolphins
X5 = weights of players for the San Francisco Forty Niners

You join a Fantasy Football league and you are wondering if weight is a factor in winning Football games

What is the MSwithin?
Transcript text: The following data represent weights (pounds) of a random sample of professional football players on the following teams. X1 = weights of players for the Dallas Cowboys X2 = weights of players for the Green Bay Packers X3 = weights of players for the Denver Broncos X4 = weights of players for the Miami Dolphins X5 = weights of players for the San Francisco Forty Niners You join a Fantasy Football league and you are wondering if weight is a factor in winning Football games Was is the $\mathrm{MS}_{\text {within? }}$ ?
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Solution

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Solution Steps

Step 1: Calculate SSbetweenSS_{between}

The sum of squares between groups is calculated as follows:

SSbetween=i=1kni(XˉiXˉ)2=1713.7647 SS_{between} = \sum_{i=1}^k n_i (\bar{X}_i - \bar{X})^2 = 1713.7647

Step 2: Calculate SSwithinSS_{within}

The sum of squares within groups is given by:

SSwithin=i=1kj=1ni(XijXˉi)2=21761.4118 SS_{within} = \sum_{i=1}^k \sum_{j=1}^{n_i} (X_{ij} - \bar{X}_i)^2 = 21761.4118

Step 3: Calculate MSbetweenMS_{between}

The mean square between groups is calculated using the degrees of freedom between groups:

MSbetween=SSbetweendfbetween=1713.76474=428.4412 MS_{between} = \frac{SS_{between}}{df_{between}} = \frac{1713.7647}{4} = 428.4412

Step 4: Calculate MSwithinMS_{within}

The mean square within groups is calculated using the degrees of freedom within groups:

MSwithin=SSwithindfwithin=21761.411880=272.0176 MS_{within} = \frac{SS_{within}}{df_{within}} = \frac{21761.4118}{80} = 272.0176

Step 5: Calculate FF

The FF-statistic is calculated as follows:

F=MSbetweenMSwithin=428.4412272.0176=1.575 F = \frac{MS_{between}}{MS_{within}} = \frac{428.4412}{272.0176} = 1.575

Step 6: Calculate PP

The PP-value is calculated using the FF-distribution:

P=1F(1.575;4,80)=0.189 P = 1 - F(1.575; 4, 80) = 0.189

Final Answer

The mean square within groups is

MSwithin=272.0176 \boxed{MS_{within} = 272.0176}

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