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

21
Q

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

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
Interquartile range
Upper quartile – Lower quartile 
26
Variance
Is a measure of how scattered around the average value (expected value) one finds the measured values of a variable
27
Small variance
Means that measured values are on average, closer to the mean of the sample
28
Large variance
Means that measured values vary widely from the mean
29
What measure of spread/variance is used when data is normally distributed
Standard Deviation
30
What measure of spread/variance is used when data is non-normally distributed
Interquartile range (IQR)
31
Error bars
Values are reported as the measure of central tendency (normal mean or median) +/- the measure of variance (standard deviation or interquartile range)