Christian's copy of Paired t-test after treatment.

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Christian Lawson-Perfect 9 years, 11 months ago

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Created this as a copy of Paired t-test after treatment..

Name	Status	Author	Last Modified
Paired t-test after treatment.	Ready to use	Bill Foster	01/06/2016 09:47
Christian's copy of Paired t-test after treatment.	Ready to use	Christian Lawson-Perfect	01/06/2016 10:06
A comparison of the means of two groups (1).	Ready to use	Keith McGuinness	01/06/2016 09:47
A comparison of the means of two groups (2).	Ready to use	Keith McGuinness	01/06/2016 09:47
Testing an hypothesis about the mean of a group (1).	Ready to use	Keith McGuinness	01/06/2016 09:47
Testing an hypothesis about the mean of a group (2).	Ready to use	Keith McGuinness	01/06/2016 09:47
Summary statistics (1).	Ready to use	Keith McGuinness	01/06/2016 09:47
A comparison of the means of two groups (3).	Ready to use	Keith McGuinness	01/06/2016 09:47
A comparison of the means of two groups (4).	Ready to use	Keith McGuinness	01/06/2016 09:47
A comparison of the means of three groups (1).	Ready to use	Keith McGuinness	01/06/2016 09:47
A comparison of the means of three groups (2).	Ready to use	Keith McGuinness	01/06/2016 09:47
A comparison of the means of four groups (1).	Ready to use	Keith McGuinness	01/06/2016 09:47
Simon's copy of Paired t-test after treatment.	draft	Simon Thomas	05/06/2019 14:44

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Question statement

Suppose that 15 individuals, diagnosed with bipolar disorder take part in an experiment that grades their happiness on a scale from 1 to 25. They take the test before treatment and then again after a specific drug has been prescribed. The data is shown below:

{object}	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O
Before	$\var{r1[0]}$	$\var{r1[1]}$	$\var{r1[2]}$	$\var{r1[3]}$	$\var{r1[4]}$	$\var{r1[5]}$	$\var{r1[6]}$	$\var{r1[7]}$	$\var{r1[8]}$	$\var{r1[9]}$	$\var{r1[10]}$	$\var{r1[11]}$	$\var{r1[12]}$	$\var{r1[13]}$	$\var{r1[14]}$
After	$\var{r2[0]}$	$\var{r2[1]}$	$\var{r2[2]}$	$\var{r2[3]}$	$\var{r2[4]}$	$\var{r2[5]}$	$\var{r2[6]}$	$\var{r2[7]}$	$\var{r2[8]}$	$\var{r2[9]}$	$\var{r2[10]}$	$\var{r2[11]}$	$\var{r2[12]}$	$\var{r2[13]}$	$\var{r2[14]}$

QUESTION: Is there a difference between the average responses of the two groups? In order to do this answer the following questions:

Give any introductory information the student needs.

			Name	Type	Generated Value

t95	number	2.145
tvalue	number	4.617
msg	list	List of 5 items
t999	number	4.14
meandiff	number	4.067
object	string	Individual
sig1	number	2.4
thismany	integer	15
stdiff	number	3.411
sig2	number	2
t99	number	2.977
attempt	string	hand
t90	number	1.761
cmsg	list	[ "A", "B", "C", "D", "E" ]
r1	list	List of 15 items
mu1	number	13
d	list	List of 15 items
r2	list	List of 15 items
mu2	number	16.3
pmsg	list	List of 5 items
objects	string	individuals
t	integer	0
v	list	[ 1, 0, 0, 0, 0 ]
pvalue	number	0.000

Automatically regenerate variables?

Name

Data type

Value

xxxxxxxxxx
 
2.145

JME function reference

Description

Describe what this variable represents, and list any assumptions made about its value.

Can an exam override the value of this variable?

Generated value: `number`

2.145

→ Used by:

This variable doesn't seem to be used anywhere.

Parts

Part a) Gap-fill
1. Gap Gap 0. Number entry
  Add
2. Gap Gap 1. Number entry
  Add
3. Gap Gap 2. Number entry
  Add
Part b) Choose one from a list
Part c) Choose one from a list

Gap-fill

Ask the student a question, and give any hints about how they should answer this part.

Find the mean and standard deviations of the difference between the before and after responses

Calculate differences for after response– before response.

Mean of difference = Gap 0. (input to 3 decimal places )

Standard deviation of difference = Gap 1. (input to 3 decimal places)

Now find the paired t-test statistic using the values you have just calculated =Gap 2. (3 decimal places)

Advice

The table of differences is given by:

{object}	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O
Before	$\var{r1[0]}$	$\var{r1[1]}$	$\var{r1[2]}$	$\var{r1[3]}$	$\var{r1[4]}$	$\var{r1[5]}$	$\var{r1[6]}$	$\var{r1[7]}$	$\var{r1[8]}$	$\var{r1[9]}$	$\var{r1[10]}$	$\var{r1[11]}$	$\var{r1[12]}$	$\var{r1[13]}$	$\var{r1[14]}$
After	$\var{r2[0]}$	$\var{r2[1]}$	$\var{r2[2]}$	$\var{r2[3]}$	$\var{r2[4]}$	$\var{r2[5]}$	$\var{r2[6]}$	$\var{r2[7]}$	$\var{r2[8]}$	$\var{r2[9]}$	$\var{r2[10]}$	$\var{r2[11]}$	$\var{r2[12]}$	$\var{r2[13]}$	$\var{r2[14]}$
Differences	$\var{d[0]}$	$\var{d[1]}$	$\var{d[2]}$	$\var{d[3]}$	$\var{d[4]}$	$\var{d[5]}$	$\var{d[6]}$	$\var{d[7]}$	$\var{d[8]}$	$\var{d[9]}$	$\var{d[10]}$	$\var{d[11]}$	$\var{d[12]}$	$\var{d[13]}$	$\var{d[14]}$

The mean of the differences is $\overline{x_d}=\var{meandiff}$.

The variance $V$ of the differences is
\[\begin{eqnarray*} V&=&\frac{1}{14}\left(\simplify[]{{d[0]^2}+{d[1]^2}+{d[2]^2}+{d[3]^2}+{d[4]^2}+{d[5]^2}+{d[6]^2}+{d[7]^2}+{d[8]^2}+{d[9]^2}+{d[10]^2}+{d[11]^2}+{d[12]^2}+{d[13]^2}+{d[14]^2}}-15\times \var{meandiff}^2\right)\\ &=&\var{variance(d)} \end{eqnarray*} \]
Hence we have the standard deviation $s_d= \sqrt{V}=\var{stdiff}$ to 3 decimal places.

The paired t-statistic is given by:

\[t_d=\frac{\overline{x_d}-\mu_d}{\frac{s_d}{\sqrt{n}}}\]

In this example $n=15$ and the null hypothesis is that the means are the same i.e. $\mu_d=0$.

On calculating we find $t_d=\var{tvalue}$.

Looking up this value on the T-distribution table for $t_{14}$

\[\begin{array}{r|rrrrr}&0.20&0.10&0.05&0.01&0.001\\\hline14&1.345&1.761&2.145&2.977&4.140\end{array}\]

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

Hence we conclude that {cmsg[t]}

Give a worked solution to the whole question.

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Christian's copy of Paired t-test after treatment.

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Christian Lawson-Perfect 9 years, 11 months ago

Christian Lawson-Perfect 10 years, 9 months ago

Error in variable testing condition

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Generated value: `number`

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Gap-fill

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Christian's copy of Paired t-test after treatment.

Metadata

Taxonomy: mathcentre

Taxonomy: Kind of activity

Taxonomy: Context

Contributors

Feedback

History

Comment

Checkpoint description

Christian Lawson-Perfect 9 years, 11 months ago

Christian Lawson-Perfect 10 years, 9 months ago

Error in variable testing condition

Error

Warning

Generated value: number

Parts

Gap-fill

Generated value: `number`