Statistics Flashcards
To learn the purpose, and considerations and limitations of each data-gathering technique and other general advice about statistics.
Statistics - Purpose (1)
- Is the study of the collection, analysis, interpretation, presentation and organisation of the data.
The four types of data -
- Nominal
- Ordinal
- Interval
- Ratio
What is a null hypothesis?
A null hypothesis states that there is no relationship between two or more variables.
What is a descriptive statistic?
A descriptive statistic is used to analyse and represent data that has already been collected.
Measures of Central Tendency - Purpose (1)
- To tell the middle point in a set of data (mean, median, mode)
Measures of Central Tendency - Considerations and Limitations (1)
- If removing outliers need a good reason as could make data unpure
Measures of Dispersion - Purpose (1)
- Describes the spread of data around a central value
Chi-Squared Analysis - Purpose (2)
- Used to compare observed data with data that would be expected
- Can test associations between variables
Chi-Squared Analysis - Considerations and Limitations (3)
- Data can be compared with significance tables
- Data must be in the form of frequencies
- Must have more than 20 data points
Spearman Rank Correlation Coefficient - Purpose (1)
- Measures the strength and direction of a relationship
Spearman rank Correlation Coefficient - Considerations and Limitations (1)
- Was the sample used too small
Pearson Product Moment Correlation Coefficient - Purpose (1)
- Measures the strength of a linear relationship between two variables
Pearson Product Moment Correlation Coefficient - Considerations and Limitations (2)
- It assumes that there is a linear relationship between variables even if it doesn’t exist
- High degree of correlation does not mean close causal relationship
Linear Regression Analysis - Purpose (1)
- Method of predictive analysis to determine linear relationship
Linear Regression Analysis - Considerations and Limitations (1)
- Based on several assumptions