What, how, why of stats Flashcards

1
Q

What is statistics?

A

A piece of info (data) that can be represented numerically

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2
Q

How do you do stats?

A

Is a particular branch of applied math that collects data and uses probability theory to draw conclusions from that data

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3
Q

Why would we do stats?

A

To understand the real meaning behind all those numbers

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4
Q

What is NOT the point of doing stats? What is the actual point then?

A

To decide if an effect is statistically significant. The real point is to quantify scientific evidence and uncertainty

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5
Q

What are the two key words about why we do stats?

A

Understanding and prediction

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6
Q

Why are stats and probability not intuitive?

A

We need evidence. Can’t just draw conclusions from a bunch of numbers without stats

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7
Q

What 7 things do us humans tend to do thinking stats and probability are intuitive?

A
  1. Jump to conclusions based on what we know
  2. Be overconfident in something, thinking we’re smarter than we are
  3. See patterns in data when it’s just random
  4. Not linking variability to sample size
  5. Fooled by multiple comparisons
  6. Ignoring any alternate explanations like biases and placebos
  7. Crave crisp defined conclusions when they’re mostly just probabilities
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8
Q

What are the 4 goals of stats?

A
  1. Estimate values of important parameters
  2. Test hypotheses about those parameters
  3. For good scientific practice
  4. Quantify the uncertainty of measurements
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9
Q

What is the definition of stats?

A

A technology that describes and measures aspects of nature using samples

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10
Q

What are 4 challenges of doing stats?

A
  1. No two individuals are exactly alike
  2. Unfeasible to measure an entire population
  3. Sampling leads to uncertainty
  4. Measurements can be affected by sampling
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11
Q

What is estimation?

A

Inferring an unknown quantity of a target population based on sample data

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12
Q

Are estimations made with data from samples or from the population?

A

Samples

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13
Q

What is a parameter?

A

A quantity that describes a population

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14
Q

What are 4 types of parameters?

A

Averages, proportions, measures of variation (SD and SE), measures of relationship

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15
Q

How do we estimate a population parameter?

A

Use measurements from a sample to best estimate parameters

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16
Q

Are population parameters constant or variable?

A

Constant

17
Q

Are estimations constant or variable?

A

Variable, change from random sample to random sample

18
Q

Are population parameters the truth or an approximation of the truth?

A

The truth

19
Q

Are estimations the truth or an approximation of the truth?

A

Approximation

20
Q

Why do estimations have error?

A

You can’t measure the whole population

21
Q

What is hypothesis testing?

A

Test to determine how well the null hypothesis about a parameter fits a sample

22
Q

What is a null hypothesis?

A

No difference. Is a skeptical POV just for argument purposes about a population quantity

23
Q

What is an alternate hypothesis?

A

There is a difference