Unit 1 - Day 4 (Statistics) Flashcards

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1
Q

What is qualitative data?

A
  • Largely non-numerical
  • Structured interviews, focus groups, and narratives.
  • Allows you to capture complex experiences numerical analysis can’t.
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2
Q

What is quantitative data?

A
  • Numerical data gathered through surveys, correlations, and experiments.
  • Example–a questionnaire using a likert scale (0-5 rating)
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3
Q

What is descriptive statistics?

A

Deals with quantitative data. Numerical data used to measure and describe characteristics of groups. Includes measures of central tendency and variation.

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4
Q

What are measures of central tendency?

A

A single score that represents a whole set of scores telling us how most people generally scored (mean, median, mode)

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5
Q

What is mean?

A

The arithmetic average of a distribution (add scores and divide by total number) and most commonly used measure because it is the most sensitive.

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6
Q

What is sensitivity of the mean?

A

Sensitivity of the mean can cause a problem if there is one or two extreme outlying scores. This causes skew and makes the mean misleading.

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7
Q

What is the median?

A

The middle score in distribution; half scores above and half below (50th percentile). When there is skew, the median becomes as important as the mean.

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8
Q

What is mode?

A

Most frequently occurring score(s). in a distribution.

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9
Q

What does bi-modal or multi-modal mean?

A

The set of data has two modes.

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10
Q

What is regression toward the mean?

A

The tendency for extremely high or low scores to become moderate (closer to the mean) upon retesting over time.

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11
Q

What does a normal or bell-shaped curve mean?

A

Occurs when the mean, median, and mode are all the same.

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12
Q

What is skewed distribution?

A

Representation of scores that lack symmetry around the average value. Skew is based on the direction the curve tip points.

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