7.1 Descriptive Data Analytics Flashcards
1
Q
What are Descriptive Analytics ?
A
- Descriptive analytics is a type of analytics used to
understand the past - Descriptive analytics is useful in answering
questions, such as: - What has happened?
- What is happening?, if up-to-date data are available
2
Q
What type of questions does descriptive anayltics answer?
A
- what/which/when/how-type questions
- What course has the best rate of attendance?
- Which team scored the most goals in the current
season? - When did income first exceed outgoings?
- How many more students are enrolled for Computer
Science this year compared to last year?
3
Q
What does descriptive analytics focus on
A
The what, which, when, how not WHY
4
Q
What is Descriptive Statistics?
A
- Descriptive statistics summarize and organize data to describe its key characteristics. It includes measures like mean, median, mode, variance, and standard deviation.
- To describe and summarize the data.
- e.g what % of accidents occured on rural roads
5
Q
What does Descriptive Statistics cover ?
A
Descriptive statistics can be used to discover the
following characteristics of data:
- Frequency: how often did something happen?
(count/percentage) - Averages: where does the centre of the distribution of the data
lie? (mean/median/mode) - Distribution/variation: how ‘spread out’ are the data?
- Position/rank: where does each data point lie in relation to the
others?
6
Q
What is Inferential Statistics?
A
- Inferential statistics use sample data to make generalizations or predictions about a larger population. It includes techniques like hypothesis testing, confidence intervals, and regression analysis.
- To make predictions or draw conclusions about a population based on sample data.
- Why type questions
7
Q
what are some hypotheses that we might like to test in Inferential analytics
A
- Dual carriageways are more dangerous to travel on than
single-lane roads - Sunday is the least dangerous day to drive
- Poor road conditions have more effect on accident rates than
poor weather conditions
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