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One-way ANOVA example

", "licence": "Creative Commons Attribution 4.0 International"}, "statement": "

The following data arose in a comparison of the effects of alcohol on the time taken to complete a task. There were three groups of subjects: Group A had no alcohol, Group B had two units over 1 hour and Group C had 4 units over 1 hour. 

\n

The responses are the times (in seconds) taken to complete a martial arts \"coloured ball\" drill, in which the subjects respond to different coloured balls pulled from a bucket with different actions (e.g. kick, punch), as quickly as possible.

\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
Group A (0 units)$\\var{r1[0]}$$\\var{r1[1]}$$\\var{r1[2]}$$\\var{r1[3]}$$\\var{r1[4]}$$\\var{r1[5]}$
Group B (2 units)$\\var{r2[0]}$$\\var{r2[1]}$$\\var{r2[2]}$$\\var{r2[3]}$$\\var{r2[4]}$$\\var{r2[5]}$
Group C (4 units)$\\var{r3[0]}$$\\var{r3[1]}$$\\var{r3[2]}$$\\var{r3[3]}$$\\var{r3[4]}$$\\var{r3[5]}$
\n\n

 

", "advice": "

a)

\n

Here we will work through the top row of the table and compute the values for Group $A$. The other two rows are calculated in the same way.

\n

\\[ T = \\var{r1[0]}+\\var{r1[1]}+\\var{r1[2]}+\\var{r1[3]}+\\var{r1[4]}+\\var{r1[5]}=\\var{t[0]}. \\]

\n

\\[\\bar{x} = \\frac{T}{6}=\\var{m1}.\\]

\n

\\[ \\sum{x^2}=\\var{r1[0]}^2+\\var{r1[1]}^2+\\var{r1[2]}^2+\\var{r1[3]}^2+\\var{r1[4]}^2+\\var{r1[5]}^2 =\\var{ssq[0]}.\\]

\n

\\begin{align}
s &= \\sqrt{\\frac{1}{n-1}\\left(\\sum_{i=1}^{n}x_i^2 -n\\bar{x}^2\\right)} \\\\
&= \\sqrt{\\frac{1}{5}(\\var{ssq[0]}-6\\times\\var{m1})} \\\\
&= \\var{sd1}.
\\end{align}

\n

\n

b)

\n

$\\displaystyle TSS$ is the total sum of squares of the ${3}$ groups minus the total sum of the ${3}$ groups divided by the total number of subjects. 

\n

\\[ TSS =\\var{ss}-\\frac{\\var{g}}{18}=\\var{tss}. \\]

\n

Similarly

\n

\\[ BTSS=\\var{btss} \\]

\n

\\[ RSS=\\var{rss} \\]

\n

\n

c)

\n

The ANOVA table can be completed from the above values:

\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
SourcedfSSMSVR
Between Treatments{{dfbt}}{{btss}}{{mbt}}{{vr}}
Residual{{dfrs}}{{rss}}{{mrs}}-
Total{{n-1}}{{tss}}--
\n

The estimated standard error of the mean is {{stderror}}.

\n

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First fill in this table with the appropriate values, all decimals to 2 decimal places:

\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
 $\\overline{x}_i$$s_i$$T_i$$\\sum x^2$$n_i$
Group A[[0]][[1]][[2]][[3]]6
Group B[[4]][[5]][[6]][[7]]6
Group C[[8]][[9]][[10]][[11]]6
   $G=\\;$[[12]]Sum of Squares=[[13]]$N=18$
\n

Note that in doing this you will have supplied the sample means and sample standard deviations for the three groups.

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Now find the following, all to 2 decimal places:

\n

$\\displaystyle TSS\\;=\\;$[[0]], $\\displaystyle BTSS\\;=\\;$[[1]], $\\displaystyle RSS\\;=\\;$[[2]]

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Now complete the ANOVA table using the values to 2 decimal places obtained 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\n\n
SourcedfSSMSVR
Between Treatments[[0]][[1]][[2]][[3]]
Residual[[4]][[5]][[6]]-
Total[[7]][[8]]--
\n

Also calculate the estimated standard error of the mean : [[9]]

\n

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

\n

Input all numbers to 2 decimal places.

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0, "exploreObjective": null, "prompt": "

Given the value of $VR$ you have found, choose the range for the $p$ value by looking up the critical values of $F_{2,15}$ (one-sided).

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
$10\\%$$5\\%$$1\\%$$0.1\\%$
$2.70$$3.68$$6.36$$11.34$
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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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Given the $p$-value and the range you have found, what is the strength of evidence against the null hypothesis that the mean times taken are the same for the three groups?

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Very Strong Evidence

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Strong Evidence

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Evidence

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Weak Evidence

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No Evidence

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

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We reject the null hypothesis at the $0.1\\%$ level

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We reject the null hypothesis at the $1\\%$ level.

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We reject the null hypothesis at the $5\\%$ level.

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We do not reject the null hypothesis but consider further investigation.

", "

We do not reject the null hypothesis.

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