Data Analyses Flashcards

Review

1
Q

What is statistics?

A

Describes and interprets quantitative information

Aid in making generalization and interferences from data

Mathematical tests are done

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2
Q

At what language does test are used to describe population data?

A

Greek letters:

  1. Mean(average) – μ
  2. standard deviation = σ
  3. variance = σ2
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3
Q

At what language does test are used to describe data from sample?

A

English letters:

  1. Statistics = characteristic at a sample
  2. Mean (average) = M or (pronounced as X bar)
  3. Standard deviation= s or sd
  4. Variance = s^2
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4
Q

Define term:

Parametric statistical test

A

 NOT TO BE CONFUSED WITH POPULATION PARAMETER

 Interval or ratio data

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5
Q

Define Term:

Non-parametric statistical test:

A

 Data are counted (nominal scale) or ranked (ordinal scale)

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6
Q

What does it mean to have Normal distribution?

A
  • density curves
  • To be considered normal they need to have
    — symmetrical
    — single peaked
    — bell-shaped
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7
Q

By what does the shape of the distribution gets effects?

A

Mean and standard deviation

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8
Q

68 - 95 - 99

A

68 % –> observations will fall between the mean and one standard deviation (+/1).

95% –> observations will fall between the mean ad two standard deviation (+/-2).

99.7%–> observations will fall between the mean and three standard deviations (+/-3).

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9
Q

Why don’t standard deviation add up to 100%?

A

—- The 0.3 % remaining is equal to 0.15% in the each end which represent the extreme scores as such, are relatively rare

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10
Q

What does mean represent in the graph

A

Skewness- to which direction the graph looks

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11
Q

What does STDV represent in the graph

A

kurtosis - How steep the graph will be

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12
Q

There are 2 different characteristic of distribution of scores

A

Central tendency:
- Value of a “typical” score
—- Mean
—- Median
—- Mode

Variability
—- Range
—- Variance
—- Standard deviation

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13
Q
A
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