// Numbas version: exam_results_page_options {"name": "Perform a paired sample t-test, ", "extensions": ["stats"], "custom_part_types": [], "resources": [], "navigation": {"allowregen": true, "showfrontpage": false, "preventleave": false, "typeendtoleave": false}, "question_groups": [{"pickingStrategy": "all-ordered", "questions": [{"variable_groups": [], "variables": {"pvalue": {"templateType": "anything", "group": "Ungrouped variables", "definition": "precround(ttest(0,d,2),3)", "name": "pvalue", "description": ""}, "r1": {"templateType": "anything", "group": "Ungrouped variables", "definition": "repeat(round(normalsample(mu1,sig1)),12)", "name": "r1", "description": ""}, "v": {"templateType": "anything", "group": "Ungrouped variables", "definition": "if(tvalue>=t999,[1,0,0,0,0],if(tvalue>=t99,[0,1,0,0,0],if(tvalue>=t95,[0,0,1,0,0],if(tvalue>=t90,[0,0,0,1,0],[0,0,0,0,1]))))", "name": "v", "description": ""}, "pmsg": {"templateType": "anything", "group": "Ungrouped variables", "definition": "[' is less than $0.001$',' lies between $0.001$ and $0.01$',' lies between $0.01$ and $0.05$',' lies between $0.05$ and $0.10$',' is greater than $0.10$']", "name": "pmsg", "description": ""}, "sig1": {"templateType": "anything", "group": "Ungrouped variables", "definition": "random(2..3#0.2)", "name": "sig1", "description": ""}, "t90": {"templateType": "anything", "group": "Ungrouped variables", "definition": "1.796", "name": "t90", "description": ""}, "tvalue": {"templateType": "anything", "group": "Ungrouped variables", "definition": "precround(abs(meandiff*sqrt(n)/stdiff),3)", "name": "tvalue", "description": ""}, "cmsg": {"templateType": "anything", "group": "Ungrouped variables", "definition": "['do reject','do reject','do not reject','do not reject','do not reject']", "name": "cmsg", "description": ""}, "t99": {"templateType": "anything", "group": "Ungrouped variables", "definition": "3.106", "name": "t99", "description": ""}, "mu1": {"templateType": "anything", "group": "Ungrouped variables", "definition": "random(18..25#0.5)", "name": "mu1", "description": ""}, "t": {"templateType": "anything", "group": "Ungrouped variables", "definition": "switch(v[0]=1,0,v[1]=1,1,v[2]=1,2,v[3]=1,3,4)", "name": "t", "description": ""}, "sig2": {"templateType": "anything", "group": "Ungrouped variables", "definition": "random(2..4#0.2)", "name": "sig2", "description": ""}, "meandiff": {"templateType": "anything", "group": "Ungrouped variables", "definition": "precround(mean(d),3)", "name": "meandiff", "description": ""}, "t999": {"templateType": "anything", "group": "Ungrouped variables", "definition": "4.437", "name": "t999", "description": ""}, "d": {"templateType": "anything", "group": "Ungrouped variables", "definition": "list(vector(r2)-vector(r1))", "name": "d", "description": ""}, "object": {"templateType": "anything", "group": "Ungrouped variables", "definition": "'Individual'", "name": "object", "description": ""}, "stdiff": {"templateType": "anything", "group": "Ungrouped variables", "definition": "precround(pstdev(d),3)", "name": "stdiff", "description": ""}, "t95": {"templateType": "anything", "group": "Ungrouped variables", "definition": "2.201", "name": "t95", "description": ""}, "n": {"templateType": "anything", "group": "Ungrouped variables", "definition": "12", "name": "n", "description": ""}, "r2": {"templateType": "anything", "group": "Ungrouped variables", "definition": "repeat(round(normalsample(mu2,sig2)),12)", "name": "r2", "description": ""}, "mu2": {"templateType": "anything", "group": "Ungrouped variables", "definition": "mu1+random(2..4#0.1)", "name": "mu2", "description": ""}, "cmsg1": {"templateType": "anything", "group": "Ungrouped variables", "definition": "['very strong','strong','slight','no','no']", "name": "cmsg1", "description": ""}, "msg": {"templateType": "anything", "group": "Ungrouped variables", "definition": "['is greater than $\\\\var{t999}$','lies between $\\\\var{t99}$ and $\\\\var{t999}$','lies between $\\\\var{t95}$ and $\\\\var{t99}$','lies between $\\\\var{t90}$ and $\\\\var{t95}$','is less than $\\\\var{t90}$']", "name": "msg", "description": ""}}, "ungrouped_variables": ["pmsg", "msg", "cmsg1", "t999", "meandiff", "object", "sig1", "tvalue", "stdiff", "sig2", "t99", "t95", "t90", "cmsg", "d", "mu1", "r1", "r2", "mu2", "n", "t", "v", "pvalue"], "question_groups": [{"pickingStrategy": "all-ordered", "questions": [], "name": "", "pickQuestions": 0}], "name": "Perform a paired sample t-test, ", "functions": {"pstdev": {"type": "number", "language": "jme", "definition": "sqrt(abs(l)/(abs(l)-1))*stdev(l)", "parameters": [["l", "list"]]}}, "showQuestionGroupNames": false, "parts": [{"scripts": {}, "gaps": [{"correctAnswerFraction": false, "showPrecisionHint": false, "allowFractions": false, "scripts": {}, "type": "numberentry", "showCorrectAnswer": true, "minValue": "{meandiff}", "maxValue": "{meandiff}", "marks": 0.5}, {"correctAnswerFraction": false, "showPrecisionHint": false, "allowFractions": false, "scripts": {}, "type": "numberentry", "showCorrectAnswer": true, "minValue": "{stdiff}", "maxValue": "{stdiff}", "marks": 0.5}, {"correctAnswerFraction": false, "showPrecisionHint": false, "allowFractions": false, "scripts": {}, "type": "numberentry", "showCorrectAnswer": true, "minValue": "{tvalue}", "maxValue": "{tvalue}", "marks": 1}], "type": "gapfill", "prompt": "

Find the mean and standard deviations of the difference between left and right {attempt}s.

\n

Calculate differences for left {attempt} times – right {attempt} times. Make sure you take the differences this way round.

\n

Mean of difference = [[0]] (input  to 3 decimal places )

\n

Standard deviation of difference = [[1]] (input to 3 decimal places)

\n

Now find the t-test statistic $T$ using the values you have just calculated and  input the absolute value $|T|$ here: [[2]] (3 decimal places). 

\n

 

", "showCorrectAnswer": true, "marks": 0}, {"displayType": "radiogroup", "choices": ["

$p$ 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 $10\\%$

"], "displayColumns": 0, "prompt": "

Give the value of the t-statistic you have found, choose the range for the $p$ value by looking up the t-statistic tables:

", "distractors": ["", "", "", "", ""], "shuffleChoices": false, "scripts": {}, "minMarks": 0, "type": "1_n_2", "maxMarks": 0, "showCorrectAnswer": true, "matrix": "v", "marks": 0}, {"displayType": "radiogroup", "choices": ["

Very Strong Evidence

", "

Strong Evidence

", "

Evidence

", "

Weak Evidence

", "

No Evidence

"], "displayColumns": 0, "prompt": "

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 average times for the left and right hands?

", "distractors": ["", "", "", "", ""], "shuffleChoices": false, "scripts": {}, "minMarks": 0, "type": "1_n_2", "maxMarks": 0, "showCorrectAnswer": true, "matrix": "v", "marks": 0}], "statement": "

The following data was obtained from $12$ individuals. The observations consist of the time taken to complete a dexterity task using their left and right hands.

\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
{object}ABCDEFGHIJKL
Right$\\var{r1[0]}$$\\var{r1[1]}$$\\var{r1[2]}$$\\var{r1[3]}$$\\var{r1[4]}$$\\var{r1[5]}$$\\var{r1[6]}$$\\var{r1[7]}$$\\var{r1[8]}$$\\var{r1[9]}$$\\var{r1[10]}$$\\var{r1[11]}$
Left$\\var{r2[0]}$$\\var{r2[1]}$$\\var{r2[2]}$$\\var{r2[3]}$$\\var{r2[4]}$$\\var{r2[5]}$$\\var{r2[6]}$$\\var{r2[7]}$$\\var{r2[8]}$$\\var{r2[9]}$$\\var{r2[10]}$$\\var{r2[11]}$
\n

Carry out by hand a paired t-test to test whether there is evidence of a difference in the average times for the left and right hands.

", "tags": ["ACE2013", "average", "checked2015", "data analysis", "differences", "elementary statistics", "hypothesis testing", "mean", "mean ", "mean of differences", "paired t-test", "PSY2010", "standard deviation", "standard deviation of differences", "statistics", "stats", "t-test", "variance"], "rulesets": {"std": ["all", "fractionNumbers", "!collectNumbers", "!noLeadingMinus"]}, "preamble": {"css": "", "js": ""}, "type": "question", "metadata": {"notes": "\n \t\t \t\t

11/07/2012:

\n \t\t \t\t


Added tags.

\n \t\t \t\t

Calculation not yet tested.

\n \t\t \t\t

23/07/2012:

\n \t\t \t\t

Added description.

\n \t\t \t\t

Checked calculation.

\n \t\t \t\t

Changed display slightly in Advice.

\n \t\t \t\t

3/08/2012:

\n \t\t \t\t

Added tags.

\n \t\t \t\t

Question appears to be working correctly.

\n \t\t \n \t\t", "licence": "Creative Commons Attribution 4.0 International", "description": "

Paired t-test to see if there is a difference between times take in a task.

"}, "variablesTest": {"condition": "", "maxRuns": 100}, "advice": "

The table of differences is given by:

\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
{object}ABCDEFGHIJKL
Right$\\var{r1[0]}$$\\var{r1[1]}$$\\var{r1[2]}$$\\var{r1[3]}$$\\var{r1[4]}$$\\var{r1[5]}$$\\var{r1[6]}$$\\var{r1[7]}$$\\var{r1[8]}$$\\var{r1[9]}$$\\var{r1[10]}$$\\var{r1[11]}$
Left$\\var{r2[0]}$$\\var{r2[1]}$$\\var{r2[2]}$$\\var{r2[3]}$$\\var{r2[4]}$$\\var{r2[5]}$$\\var{r2[6]}$$\\var{r2[7]}$$\\var{r2[8]}$$\\var{r2[9]}$$\\var{r2[10]}$$\\var{r2[11]}$
Differences$\\var{d[0]}$$\\var{d[1]}$$\\var{d[2]}$$\\var{d[3]}$$\\var{d[4]}$$\\var{d[5]}$$\\var{d[6]}$$\\var{d[7]}$$\\var{d[8]}$$\\var{d[9]}$$\\var{d[10]}$$\\var{d[11]}$
\n

We test the following hypothesis:

\n

$H_0:\\;\\mu_d=0$ versus $H_1:\\;\\mu_d\\neq 0$

\n

$n=\\var{n}$ and the mean of the differences is $\\overline{d}=\\var{meandiff}$.

\n

The variance $V$ of the differences is calculated to be $\\var{pstdev(d)^2}$

Hence we have the standard deviation $s_d= \\sqrt{V}=\\var{stdiff}$ to 3 decimal places.

\n

The paired t-statistic is given by:

\n

\\[\\begin{eqnarray*} T&=&\\frac{\\overline{d}-\\mu_d}{\\frac{s_d}{\\sqrt{n}}}\\\\&=&\\frac{\\var{meandiff}-0}{\\frac{\\var{stdiff}}{\\sqrt{\\var{n}}}}\\\\&=&\\var{tvalue}\\end{eqnarray*}\\]

\n

(Using the null hypothesis that the means are the same i.e. $\\mu_d=0$.)

\n

Hence our test statistic  $|T|=\\var{tvalue}$.

\n

Looking up this value on the T-distribution table for $t_{11}$

\n

\\[\\begin{array}{r|rrrrr}&0.20&0.10&0.05&0.01&0.001\\\\\\hline11&1.363&1.796&2.201&3.106&4.437\\end{array}\\]

\n

We see that the t-statistic {msg[t]} and the table tells us that the $p$ value {pmsg[t]}.

\n

Hence we conclude that we {cmsg[t]} the null hypothesis. There is {cmsg1[t]} evidence of a difference between the average scores of the two groups.

\n

 

", "contributors": [{"name": "Newcastle University Mathematics and Statistics", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/697/"}]}]}], "contributors": [{"name": "Newcastle University Mathematics and Statistics", "profile_url": "https://numbas.mathcentre.ac.uk/accounts/profile/697/"}]}