A negative correlation means that as one variable increases the other decreases
- True
- False
A positive correlation means the variables increase together
- True
- False
On a scattergraph the X axis is the cause and the Y axis is the effect
- True
- False
If there is no correlation between two variables they are said to be negative
- True
- False
A correlation coefficient refers to a number between -1 and +1
- True
- False
When a hypothesis predicts the expected direction of the results it is referred to as a two-tailed hypothesis
- True
- False
When a hypothesis does not predict the expected direction of the results it is referred to as a one-tailed hypothesis
- True
- False
Descriptive statistics give us a way to summarise and describe our data and allows us to make a conclusion related to our hypothesis.
- True
- False
When carrying out correlational analysis the data is summarised by presenting the data in a bar chart.
- True
- False
Correlations are very good for showing possible relationships between variables
- True
- False
Correlational analysis cannot demonstrate a cause and effect relationship between variables
- True
- False
Correlational analysis always involves quantitative data
- True
- False