Descriptive statistics Flashcards

1
Q

Cognitive biases

A

Ways of thinking that predispose one to favour a certain viewpoint over others

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2
Q

Confirmation bias

A

Tendency to search for or interpret information in a way that confirms one’s preconceptions while ignoring information that doesn’t support them

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3
Q

Selection bias

A

Distortion of evidence or data that arises from the way that the data is collected or the way that samples are selected to study

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4
Q

Supervisorship bias

A

Ignores the unsuccessful outcomes of a selection process

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5
Q

Publication bias

A

Scientific journal editors and publishers more likely to publish studies with positive results over those with negative results

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6
Q

Descriptive statistics

A

Communicate results without generalising beyond the sample to a larger group

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7
Q

What are the 4 levels of measurements

A
  1. Nominal
  2. Ordinal
  3. Interval
  4. Ratio
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8
Q

Nominal scale

A

Variables which have no numerical value and are in categories

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9
Q

Ordinal scale

A

Rank order categories from highest to lowest

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10
Q

Interval scale

A

When dealing with an interval scale, the difference between any 2 values can be calculated by using subtraction

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11
Q

Ratio scale

A

Quantitative data with true 0, Can add, subtract, multiply and divide

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12
Q

Why is distribution important (3)

A
  • Determines which measure of central tendency to use
  • Determines which measure if variability to use
  • Determines further statistical analysis
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13
Q

Normal distribution

A

Even bell shaped curve

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14
Q

Non-normal distribution

A

Either…
- Negative skew (R)
- Positive skew (L)

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15
Q

Objective assessment of normality

A

Most variables follow a distribution that is not entirely normal

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16
Q

What are the 3 measures of central tendency

A
  1. Mode
  2. Median
  3. Mean
17
Q

Mode

A

Most frequently occuring score/value

18
Q

Median

A

Middle score when all values are in numerical order before calculating the median

19
Q

Mean

A

Arithmetic average. Add up all values and divide by the number of values collected

20
Q

What measure of central tendency is used when data is normally distributed

A

Mean

21
Q

What measure of central tendency is used when data is non-normally distributed

A

Median

22
Q

What are the 3 measures of spread/range

A
  1. Range
  2. Interquartile range
  3. Standard deviation
23
Q

Range

A

Largest value - Smallest value

24
Q

Standard deviation

A

Measures the average amount by which all the values deviate from the mean

25
Q

Interquartile range

A

Upper quartile – Lower quartile

26
Q

Variance

A

Is a measure of how scattered around the average value (expected value) one finds the measured values of a variable

27
Q

Small variance

A

Means that measured values are on average, closer to the mean of the sample

28
Q

Large variance

A

Means that measured values vary widely from the mean

29
Q

What measure of spread/variance is used when data is normally distributed

A

Standard Deviation

30
Q

What measure of spread/variance is used when data is non-normally distributed

A

Interquartile range (IQR)

31
Q

Error bars

A

Values are reported as the measure of central tendency (normal mean or median) +/- the measure of variance (standard deviation or interquartile range)