Data Analysis Psyc 210

0.0(0)
studied byStudied by 0 people
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/18

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

19 Terms

1
New cards

Why is language in statistics tricky?

Common words like "distribution" or "mean" have specialized meanings.

2
New cards

What is a random variable?

A property that varies and has associated probabilities.

3
New cards

What’s the difference between a variable and a constant?

Variables vary; constants do not. Variables represent changing values, whereas constants are fixed.

4
New cards

What are the two main types of random variables?

Discrete and continuous. Discrete random variables are countable, while continuous random variables can take any value within a range.

5
New cards

What are ordered categorical/pseudo-continuous variables (OC/PC)?

Discrete variables treated as continuous due to ordered categories (e.g., Likert scales with 5+ options).

6
New cards

What is a distribution in statistics?

A description of how values for a variable are spread over a range.

7
New cards

What is the difference between empirical and theoretical distributions?

Empirical = real sample data; Theoretical = idealized models (e.g., normal distribution).

8
New cards

What are census and statistical populations?

Census = actual people/objects; Statistical = possible values and probabilities.

9
New cards

Why do we use samples?

Populations are often too large or abstract to study directly.

10
New cards

What summarizes populations and samples?

Populations → parameters (μ, σ); Samples → statistics (x̄, s).

11
New cards

What is descriptive statistics?

Summarizing or describing data using tools like mean and standard deviation.

12
New cards

What is statistical inference?

Using sample statistics to estimate population parameters.

13
New cards

When do we use inference?

When aiming to generalize from a sample to a population.

14
New cards

What do X and Y usually represent in statistics?

Random variables.

15
New cards

What does a subscript (e.g., x₁, x₂) indicate?

A specific score for a participant or observation.

16
New cards

What does "i" represent in notation?

A general case or index for scores.

17
New cards

What does the summation operator (∑) mean?

Sum all values that follow it.

18
New cards

What do the limits on the summation (e.g., ∑ from i=1 to N) indicate?

Start and stop points for the sum.

19
New cards

What are the three shortcut rules for summation?

  1. ∑(X ± Y) = ∑X ± ∑Y

  2. ∑(cX) = c∑X

  3. ∑(X + c) = ∑X + (N × c)