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"sqrms-tol", "maxValue": "sqrms+tol", "marks": 1}], "type": "gapfill", "prompt": "\n
You are given the following ANOVA table for this data:
\nSource | df | SS | MS | VR |
---|---|---|---|---|
Between Treatments | \n$\\var{dfbt}$ | \n$\\var{btss}$ | \n$\\var{mbt}$ | \n$\\var{vr}$ | \n
Residual | \n$\\var{dfrs}$ | \n$\\var{rss}$ | \n$\\var{mrs}$ | \n- | \n
Total | \n$\\var{n-1}$ | \n$\\var{tss}$ | \n- | \n- | \n
\n
Input $\\sqrt{RMS}$ here: [[0]] to 2 decimal places.
\n\n
This will be used to calculate the LSD and Tukey yardstick values later.
\n \n ", "showCorrectAnswer": true, "marks": 0}, {"displayType": "radiogroup", "choices": ["Very strong", "Strong", "Moderate", "Weak", "None"], "displayColumns": 0, "prompt": "\nUsing ANOVA
\nUsing the $VR$ value given in the table and one-way ANOVA, what is the strength of evidence against the null hypothesis that the mean times taken are the same for the three groups?
\n ", "distractors": ["", "", "", "", ""], "shuffleChoices": false, "scripts": {}, "minMarks": 0, "type": "1_n_2", "maxMarks": 0, "showCorrectAnswer": true, "matrix": "v", "marks": 0}, {"displayType": "radiogroup", "choices": ["We reject the null hypothesis at the $0.1\\%$ level", "We reject the null hypothesis at the $1\\%$ level.", "We reject the null hypothesis at the $5\\%$ level.", "We do not reject the null hypothesis but consider further investigation.", "We do not reject the null hypothesis."], "displayColumns": 1, "prompt": "Hence what is your decision based on the above ANOVA analysis?
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\nFill in this table with the appropriate values for the mean values of the groups, all decimals to 2 decimal places:
\n\n | $\\overline{x}_i$ | \n
Group A | \n[[0]] | \n
---|---|
Group B | \n[[1]] | \n
Group C | \n[[2]] | \n
\n ", "showCorrectAnswer": true, "marks": 0}, {"scripts": {}, "gaps": [{"correctAnswerFraction": false, "showPrecisionHint": false, "allowFractions": false, "scripts": {}, "type": "numberentry", "showCorrectAnswer": true, "minValue": "lsd-tol", "maxValue": "lsd+tol", "marks": 1}, {"correctAnswerFraction": false, "showPrecisionHint": false, "allowFractions": false, "scripts": {}, "type": "numberentry", "showCorrectAnswer": true, "minValue": "tukey-tol", "maxValue": "tukey+tol", "marks": 1}, {"layout": {"expression": ""}, "choices": ["Groups $A$ and $B$", "Groups $B$ and $C$", "Groups $A$ and $C$"], "matrix": "w", "type": "m_n_x", "maxAnswers": 0, "shuffleChoices": false, "marks": 0, "scripts": {}, "minMarks": 0, "minAnswers": 0, "maxMarks": 0, "shuffleAnswers": false, "showCorrectAnswer": true, "answers": ["Definite Significant Difference", "Possible Significant Difference", "No Significant Difference"]}], "type": "gapfill", "prompt": "
Now find the LSD and Tukey yardsticks from the above data. Use the value to 2 decimal places you found for $\\sqrt{RMS}$:
\nLSD= [[0]]
\nTukey= [[1]]
\nUsing these yardsticks fill in the following table indicating if there is a possible or definite significant difference between the pairs of groups mean times in undertaking the tasks:
\n[[2]]
", "showCorrectAnswer": true, "marks": 0}], "statement": "\nThe 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. The responses are the times (in seconds) taken to complete a word-matching task.
\nGroup A (0 units) | \n$\\var{r1[0]}$ | \n$\\var{r1[1]}$ | \n$\\var{r1[2]}$ | \n$\\var{r1[3]}$ | \n$\\var{r1[4]}$ | \n$\\var{r1[5]}$ | \n
---|---|---|---|---|---|---|
Group B (2 units) | \n$\\var{r2[0]}$ | \n$\\var{r2[1]}$ | \n$\\var{r2[2]}$ | \n$\\var{r2[3]}$ | \n$\\var{r2[4]}$ | \n$\\var{r2[5]}$ | \n
Group C (4 units) | \n$\\var{r3[0]}$ | \n$\\var{r3[1]}$ | \n$\\var{r3[2]}$ | \n$\\var{r3[3]}$ | \n$\\var{r3[4]}$ | \n$\\var{r3[5]}$ | \n
\n \n ", "tags": ["ANOVA", "average", "checked2015", "data analysis", "definite significant difference", "degrees of freedom", "F-test", "hypothesis testing", "Least significant difference", "lsd", "LSD", "mean ", "possible significant difference", "PSY2010", "standard deviation", "statistics", "stats", "Tukey", "tukey ", "variance", "yardsticks", "Yardsticks"], "rulesets": {"std": ["all", "fractionNumbers", "!collectNumbers", "!noLeadingMinus"]}, "preamble": {"css": "", "js": ""}, "type": "question", "metadata": {"notes": "\n \t\t \t\t
15/11/2012:
\n \t\t \t\t
This question cones from editing a one-way Anova example
Added tags and description
\n \t\t \t\t\n \t\t \n \t\t", "licence": "Creative Commons Attribution 4.0 International", "description": "
LSD and Tukey yardsticks on three treatments. Also one-way Anova test on same set of data.
"}, "variablesTest": {"condition": "", "maxRuns": 100}, "advice": "Using the Yardsticks
\nThe mean values for each group are:
\n\n
\n | $\\overline{x}_i$ | \n
Group A | \n$\\var{m1}$ | \n
---|---|
Group B | \n$\\var{m2}$ | \n
Group C | \n$\\var{m3}$ | \n
The differences between the mean values for the groups are:
\nBetween $A$ and $B=\\;|\\var{m1}-\\var{m2}|=\\var{abs(m1-m2)}$
\nBetween $B$ and $C=\\;|\\var{m2}-\\var{m3}|=\\var{abs(m2-m3)}$
\nBetween $A$ and $C=\\;|\\var{m1}-\\var{m3}|=\\var{abs(m1-m3)}$
\nWe compare these differences with the LSD and Tukey yardsticks:
\nLSD yardstick = $2.131\\times\\var{sqrms}\\times\\sqrt{2/\\var{n1}}=\\var{lsd}$ to 2 decimal places, where $\\var{sqrms}$ is the value of $\\sqrt{RMS}$ found above.
\nTukey yardstick = $3.67\\times\\var{sqrms}\\times\\sqrt{1/\\var{n1}}=\\var{tukey}$ to 2 decimal places.
\nIf the difference of the means:
\n\n
\n
\n
Hence we have the following for the groups:
\nPairs of Groups | Definite Significant Difference | Possible Significant Difference | No Significant Difference |
---|---|---|---|
Means of Groups A and B | \n{yn[0][0]} | \n{yn[0][1]} | \n{yn[0][2]} | \n
Means of Groups B and C | \n{yn[1][0]} | \n{yn[1][1]} | \n{yn[1][2]} | \n
Means of Groups A and C | \n{yn[2][0]} | \n{yn[2][1]} | \n{yn[2][2]} | \n