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
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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?
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3
Q

What does descriptive analytics focus on

A

The what, which, when, how not WHY

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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
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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?
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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
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7
Q

what are some hypotheses that we might like to test in Inferential analytics

A
  1. Dual carriageways are more dangerous to travel on than
    single-lane roads
  2. Sunday is the least dangerous day to drive
  3. Poor road conditions have more effect on accident rates than
    poor weather conditions
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8
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11
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