143 Flashcards
(12 cards)
What is the difference between quantitative and qualitative data
Quantitative - The information is directly measurable eg weight, height, age
Qualitative - Information that is non-numerical in nature, usually in the form of a descriptive, often categorical nature
What is Nominal data
Categorical data with no ordering to the categories
What is ordinal data
categorical data which has ordering to the categories but is not mathematically linked
What is discrete data
Quantitative data which can only take certain values
What is continuous data
Quantitative data that can take any value in a given range which can be classified into interval (values within a range but 0 isn’t an absolute 0) and ratio (values within a range when 0 is a true 0)
Draw and label a box blot
What is variance
The overall degree to which these data points differ from the mean
What is the use of z scores
They allow you to standardise differences across different distributions. Commonly come across in birth weight/growth
What is Central Limit Theorem
That under appropriate conditions, the distribution of a normalised version of the sample mean converges to a standard normal distribution.
What is a parametric test
A test to compare means and variances that should only be used when the underlying data follow a normal distribution
What is the difference between a normal T test and ANOVA
T tests are used to make comparisons between 2 sample means whereas ANOVA is used to test the hypothesis that multiple samples come from the same population (multiple variables)
What are the three different types of T test
- One sample t-test: when we have a single sample and want to compare the mean of that sample with a fixed value (usually a population mean or estimated population mean) we use one sample t-test
- Paired samples t-test: where two observations are made on the same sample subjects, we need the paired samples t-test
- Independent samples t-test: were we have two samples and have measured the variable on each of them
