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Treatment totals are:

\n

$T_1=\\var{cols[0]},\\;T_2=\\var{cols[1]},\\;T_3=\\var{cols[2]},\\;T_4=\\var{cols[3]}$

\n

Subject totals are:

\n

$B_1=\\var{t[0]},\\;B_2=\\var{t[1]},\\;B_3=\\var{t[2]},\\;B_4=\\var{t[3]},\\;B_5=\\var{t[4]}$

\n

$\\sum \\sum x^2 = \\var{ssq}$ and $G= \\var{tot}$

\n

Now using the above find the following, all to 2 decimal places:

\n

$\\displaystyle TSS\\;=\\;$[[0]], $\\displaystyle BTSS\\;=\\;$[[1]]

\n

$\\displaystyle BBSS \\;=\\;$[[2]], $\\displaystyle RSS\\;=\\;$[[3]]

\n

(Find $RSS$ using the values to 2 decimal places for $TSS,\\;BTSS,\\;BBSS$.)

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Now complete the ANOVA table using the values obtained to 2 decimal places above:

\n

 

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
SourcedfSSMSVR
Between Treatments[[0]][[1]][[2]][[3]]
Between Blocks[[4]][[5]][[6]][[7]]
Residual[[8]][[9]][[10]]-
Total[[11]][[12]]--
\n

Input all numbers to 2 decimal places.

\n

 Note that VR is found by taking the ratio of two of the values in this table.

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$p$ less than $0.1\\%$

", "

$p$ lies between $0.1\\%$ and $1\\%$

", "

$p$ lies between $1 \\%$ and $5\\%$

", "

$p$ lies between $5 \\%$ and $10\\%$

", "

$p$ is greater than $10\\%$

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Give the value of $VR$ you have found, choose the range for the $p$ value by looking up the critical values of $F_{3,12}$ (one-sided).

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
$10\\%$$5\\%$$1\\%$$0.1\\%$
$2.61$$3.49$$5.95$$10.8$
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Very Strong Evidence

", "

Strong Evidence

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Evidence

", "

Weak Evidence

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No Evidence

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Given the $p$-value and the range you have found, what is the strength of evidence against the null hypothesis that there is no difference in the treatments offered by the sun-creams?

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Hence what is your decision based on the above ANOVA analysis?

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Enter the sample means for the sun-creams:

\n

W: [[0]], X:[[1]], Y:[[2]], Z:[[3]]

\n

Also enter an estimate of the standard error of the mean: [[4]]

\n

(Use the value to 2 decimal places you obtained above for $RMS$ to calculate the standard error of the mean).

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To test the effectiveness of sun-tan creams, five volunteers A, B, C, D, E each tried four creams W, X, Y, Z on various parts of their legs. They were then subjected to ultra-violet radiation and an estimate of the degree of burning was made (higher figures indicate greater burning). The results are given below with some totals:

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
 WXYZTotals
A{r[0][0]}{r[0][1]}{r[0][2]}{r[0][3]}{t[0]}
B{r[1][0]}{r[1][1]}{r[1][2]}{r[1][3]}{t[1]}
C{r[2][0]}{r[2][1]}{r[2][2]}{r[2][3]}{t[2]}
D{r[3][0]}{r[3][1]}{r[3][2]}{r[3][3]}{t[3]}
E{r[4][0]}{r[4][1]}{r[4][2]}{r[4][3]}{t[4]}
Totals{cols[0]}{cols[1]}{cols[2]}{cols[3]}{tot}
\n

You are given that $\\sum \\sum x^2=\\var{ssq}$ is the uncorrected sum of squares of the observations and you are asked to:

\n \n

 

\n ", "tags": ["ANOVA", "checked2015", "hypothesis testing", "PSY2010", "statistics", "two-way ANOVA"], "rulesets": {}, "preamble": {"css": "", "js": ""}, "type": "question", "metadata": {"notes": "", "licence": "Creative Commons Attribution 4.0 International", "description": "

Two-way ANOVA example, 5 subjects, 4 treatments.

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\n

 

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Statistics and probability. Two way-anova question.

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