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Advanced Higher Geography

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Title: Advanced Higher Geography


1
Advanced Higher Geography
  • Section 3 Student t-test

2
Student T-test
  • Student t-tests are used when we are testing the
    difference between 2 samples
  • It can only be used when using interval or ratio
    data
  • The Null hypothesis is always that the 2 means
    are the same
  • The alternative hypothesis is always that they
    are different, or that one is greater than the
    other

3
Formula
4
Worked example
  • A researcher wants to find out the difference
    between birth rates of more developed countries
    and less developed countries
  • Write down the null hypothesis and the
    alternative hypothesis

5
Worked example
  • Null hypothesis There is no difference between
    the mean birth rates of more and less developed
    countries
  • Alternative hypothesis There is a difference
    between the mean birth rates of more and less
    developed countries

6
Step 1
  • On your copy of the statistics table, calculate
    the mean of column 1 and 4.
  • 14
  • 40

7
Step 2
  • Calculate the standard deviation for group x and
    group y
  • sx 2.36
  • sy 8.73

8
Step 3
  • Calculate the standard error for group x and y
  • SE of x 0.786
  • SE of y 2.910

9
Step 4
  • Calculate t using the formula

10
The value of t can be either positive or negative
so we can ignore the sign.
T -8.625
11
Calculating degrees of freedom
  • Calculate degrees of freedom using the number of
    data for each set.
  • (nx-1)(ny-1)
  • (9-1)(9-1)
  • Degrees of freedom 16

12
Critical values
  • Look up the critical values for 16 degrees of
    freedom on the table
  • The critical value from the table for 0.05 (95)
    is 2.12
  • T -8.26
  • Do we accept or reject the NH?

13
Results
  • As t(-8.625) is greater than the critical value
    (2.12) we can reject the NH and accept the AH
  • If t is smaller than the critical value, we have
    to accept the NH (There is no evidence to
    support the AH)

14
One and two-tailed tests
15
One-tailed tests
  • When the hypothesis you wish to test is framed so
    that the direction is clear
  • E.g. AH Men are taller than women
  • Separate table are used for critical values
  • We will only be using two-tailed tests

16
Two-tailed tests
  • For when you are interested in whether a
    difference exists in any direction
  • E.g. AH Men are a different height from women
  • The null hypothesis is the same for both tests

17
Your turn
  • Complete tasks on worksheet A5 using the student
    t-test
  • Answers
  • Degrees of freedom 22
  • T -8.572
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