arithmetic average- add all of the scores up and then divide them by how many there are
1 of 27
Mode
the most common result
2 of 27
Median
the middle score when the results are ordered from highest-lowest/lowest-highest
3 of 27
Range
the difference between the lowest and the highest score
4 of 27
Standard Deviation
the spread of data around the mean
5 of 27
Scattergraph
displays correlation data
6 of 27
Bar chart
shows data is in separate categories
7 of 27
Histogram
shows data measured on a continuous scale
8 of 27
Content Analysis
using a coding system on a collection of written data e.g. the amount of times the word happy is used in a newspaper article
9 of 27
Categorisation
grouping together similar items
10 of 27
Level of Significance
If the result hasn't been caused by chance then the pattern can be described as significant e.g. testing men and women to see who is better at reading map- results favour men- this could be due to chance
11 of 27
What is a sample?
the participants involved in a study
12 of 27
What is a population?
the total amount of people the finding apply to e.g. in the map study- the entire world population of men and women
13 of 27
Null hypothesis
the assumption that their is no relationship between in the population in which two samples are taken from e.g. no difference in the men and women in the map study
14 of 27
Alternative hypothesis
alternative to the null where there is a belief that something is going on- the two samples are different in some way
15 of 27
Chance
to what extent are the results true- to what extent are they chance
16 of 27
Type 1 Error
false positive e.g. convicting a guilty man of murder
17 of 27
Type 2 Error
false negative e.g. letting a guilty man go free
18 of 27
What test do you use for a directional hypothesis?
one tailed test
19 of 27
What test do you use for a non-directional hypothesis?
two tailed test
20 of 27
Why are statistical tests used?
to determine the level of significance or chance
21 of 27
Why is 95% significance used?
because it is seen as no too lenient or stringent, after 5% chance many are then certain that the results are significant
22 of 27
When would you use Spearman's Rank Order Correlation?
when the hypothesis predicts a correlation between two co-variables, when the two sets of data are from one person (repeated measures) & when data is ordinal (ordered in some way)
23 of 27
When would you use a Chi-squared test?
when the hypothesis predicts a difference between two conditions or an association between variables, sets of data must be independent measures, data is nominal
24 of 27
When would you use the Sign test?
when the hypothesis predicts a difference between the two tests, when the two sets of data are from the same person or matched pairs & when the data is nominal
25 of 27
When would you use the Wilcoxon T test?
when the hypothesis predicts a difference between the two sets of data, when the two sets of data are from one person or matched pairs & when the data is ordinal
26 of 27
When would you use the Mann- Whitney U test?
the hypothesis predicts a difference between two sets of data, independent groups & data is ordinal
27 of 27
Other cards in this set
Card 2
Front
the most common result
Back
Mode
Card 3
Front
the middle score when the results are ordered from highest-lowest/lowest-highest
Back
Card 4
Front
the difference between the lowest and the highest score
Comments
No comments have yet been made