Lecture 1: introduction: types of data
- Statistics come in different types. Which are …
Descriptive & inferential
- What is descriptive
Summarise / tabulate the data, make main points clear, produce a summary statistic, GRAPH
- What is inferential
Analysis of data, makes claims based on observations, tests the hypotheses, uses a range of statistical tests and
models.
- What are the three major types of data?
Continuous (Quantitative), category (Nominal, Qualitative), Ordinal (Rank)
- Is the order of categories important in Category data?
NO the order is not important
- What are Binominal data?
The data set have two possible outcomes e.g male/female, yes/no …
- Does order matter in the Ordinal data?
YES order is important
- How do you calculate the average, the mean?
Add up all the values and divide by the number of values
- What is the median?
The middle value of the data set
- What is the mode?
The most common value in the data set
- What are the three descriptive statistics?
Mean, median and mode [each parameter is different and tells us something different about the data]
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Lecture 2: Descriptive statistics
- What are the measures of ‘Central Tendency’
Mean, Median and Mode
- What is the range?
This is the difference between the highest and the lowest point in the data set.
- What is the disadvantage of using the range?