What is Statistics? Lecture 1 Dave Brocker
What do you think of when you hear ‘statistics’?
Statistics
Definition and Terminology
- Statistics
-
The field of describing, analyzing, and making inferences based on data either from a sample or a population
- Describing
-
What does the data ‘look’ like?
- Analyzing
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A mathematical approach to extracting information about the data
- Inferences
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Applying logical reasoning to predict what might happen in subsequent measurements. Typically, inferences are made from samples and extrapolated into what the population might be ‘expected’ to look like.
- Data
-
Qualitative or Quantitative information that consists of measured or manipulated variables
- Sample
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A subset of the population of interest
- Population
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The entire set of interest.
Why is it Important?
When Do I Use It?
Everywhere!
Statistics makes appearances anywhere you see information being summarized or being used to make decisions.
Purchasing a car
Going to a restaurant
Voting for a candidate
Going to the Movies
Why is it Important?
When Do I Use It?
Everywhere!
Statistics makes appearances anywhere you see information being summarized or being used to make decisions.
Purchasing a car
- You look at reviews and infer the overall takeaway of how ‘good’ or ‘bad’ a car might be.
Going to a restaurant
- You base your selection on prior experiences or on reviews/opinions from people you trust
Voting for a candidate
Going to the Movies
- You pick a movie based on genre, past experiences, and reviews
Data Literacy
Why Do I Need It
Statistical and data literacy is useful for being able to make informed decisions
- If you were told that blueberries could cure Cancer, wouldn’t it be helpful to know how to evaluate that claim?
- How many blueberries?
- How long do you have to eat them for?
- Is it all types of cancer or a specific one?
- Is it truly that blueberries cure cancer or are they mixed in with something else?
Too Good to Be True
Wouldn’t it be nice if…
Our brain is a pattern matching machine
We look for information that confirms our thoughts and surroundings
We would (often) prefer that things were nice and pretty, but reality is often not so simple
What is your future career goal?
Statistics in Psychology
How Each Profession Uses Data
Raise your hand if you dislike math
Goals for this Class:
- Be comfortable looking at data and making inferences
- Be comfortable looking at graphs and making inferences and gathering takeaways
- Reading scientific and popular articles and critically thinking about the claims being made
- Understand what constitutes evidence and what it means for hypotheses to be supported
- Understand that research is probabilistic
Why Do I Even Need This Course, I’m Going to Be A…
Why Should You Care?
- Therapist:
- Your practices need to be informed by evidence-based treatments
- Researcher:
- Your claims need to be supported by evidence that can assert a high probability or relationship or cause and effect.
- Non-Data Field:
- Because data is everywhere, even in your Netflix recommendations!
What You’ll Learn This Semester
Introduction to Research
- Descriptive Statistics
- What does the data ‘look like’?
- Probability is Paramount
- What are the chances this happens and what is the probability this only happens because of chance?
- Testing hypotheses
- If [condition] has this specific attribute, we expect [event] to take place.
- Correlation, regression, and causation
- How are variables related to each other?
- How much can variables predict each other?
- Does this variable cause a change in this other component?