Are our results reliable enough to support a conclusion? - PowerPoint PPT Presentation

About This Presentation
Title:

Are our results reliable enough to support a conclusion?

Description:

Are our results reliable enough to support a conclusion? Are our results reliable enough to support a conclusion? Imagine we chose two children at random from two ... – PowerPoint PPT presentation

Number of Views:12
Avg rating:3.0/5.0
Slides: 22
Provided by: GeoffB57
Category:

less

Transcript and Presenter's Notes

Title: Are our results reliable enough to support a conclusion?


1
Are our results reliable enough to support a
conclusion?
2
Imagine we chose two children at random from two
class rooms
and compare their height
3
we find that one pupil is taller than the other
WHY?
4
There is a significant difference between the two
groups, so pupils in C1 are taller than pupils in
D8
REASON 1
YEAR 7
YEAR 11
5
By chance, we picked a short pupil from D8 and a
tall one from C1
REASON 2
6
How do we decide which reason is most likely?
MEASURE MORE STUDENTS!!!
7
If there is a significant difference between the
two groups
the average or mean height of the two groups
should be very
DIFFERENT
8
If there is no significant difference between the
two groups
the average or mean height of the two groups
should be very
SIMILAR
9
Remember
10
It is VERY unlikely that the mean height of our
two samples will be exactly the same
Is the difference in average height of the
samples large enough to be significant?
11
We can analyse the spread of the heights of the
students in the samples by drawing histograms
Here, the ranges of the two samples have a small
overlap, so
the difference between the means of the two
samples IS probably significant.
12
Here, the ranges of the two samples have a large
overlap, so
the difference between the two samples may NOT
be significant.
The difference in means is possibly due to random
sampling error
13
To decide if there is a significant difference
between two samples we must compare the mean
height for each sample
and the spread of heights in each sample.
Statisticians calculate the standard deviation of
a sample as a measure of the spread of a sample
14
It is much easier to use the statistics functions
on a scientific calculator!
e.g. for data 25, 34, 13
Set calculator on statistics mode
Clear statistics memory
Enter data
15
Calculate the mean
24
Calculate the standard deviation
10.5357
16
Students t-test
The Students t-test compares the averages and
standard deviations of two samples to see if
there is a significant difference between them.
We start by calculating a number, t
t can be calculated using the equation
17
Worked Example Random samples were taken of
pupils in C1 and D8
Their recorded heights are shown below
Students in C1 Students in C1 Students in C1 Students in C1 Students in C1 Students in D8 Students in D8 Students in D8 Students in D8 Students in D8
Student Height (cm) 145 149 152 153 154 148 153 157 161 162
Student Height (cm) 154 158 160 166 166 162 163 167 172 172
Student Height (cm) 166 167 175 177 182 175 177 183 185 187
Step 1 Work out the mean height for each sample
161.60
168.27
Step 2 Work out the difference in means
6.67
18
Step 3 Work out the standard deviation for each
sample
C1 s1
10.86
D8 s2
11.74
Step 4 Calculate s2/n for each sample
10.862 15
7.86
11.742 15
9.19
19
4.13
Step 6 Calculate t
(Step 2 divided by Step 5)
1.62
20
Step 7 Work out the number of degrees of freedom
d.f. n1 n2 2
15 15 2
28
Step 8 Find the critical value of t for the
relevant number of degrees of freedom
Use the 95 (p0.05) confidence limit
Critical value 2.048
Our calculated value of t is below the critical
value for 28d.f., therefore, there is no
significant difference between the height of
students in samples from C1 and D8
21
Do not worry if you do not understand how or why
the test works
Follow the instructions CAREFULLY
You will NOT need to remember how to do this for
your exam
Write a Comment
User Comments (0)
About PowerShow.com