Interpreting Data Flashcards

1
Q

What are the main 2 types of data?

A
  • qualitative

- quantitative

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2
Q

What are the 2 types of quantitative data?

A
  • discrete (involves whole numbers)

- continuous (information measured on a continuum/scale)

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3
Q

What are the 3 measures of location?

A
  • median (number in the middle of a set of numbers, used when there are large outliers or skewed data)
  • mode (most common number)
  • mean (average)
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4
Q

What are the 2 measures of spread?

A
  • standard deviation

- interquartile range (when large outliers or skewed date)

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5
Q

What is Gaussian distribution?

A

Normal distribution
No outliers
Use mean and standard deviation

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6
Q

How does the Gaussian distribution change if the mean and standard deviation change?

A

Mean changes = graph moves left or right

S.d. changes = graph moves up or down (if it decreases graph increases) but area under line remains the same

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7
Q

What is a standard error?

A

Measure of statistical accuracy of an estimate
Standard deviation of the distribution of all possible sample means
Standard error of the mean = standard deviation/√sample size

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8
Q

How is the confidence interval ranges calculated?

A

Sample mean ± 1.96 x standard error

- get 2 values

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9
Q

What does confidence interval mean?

A

Expect the confidence interval amount of samples to be between the calculated range
- as sample size increases confidence interval gets narrower but range stays the same

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10
Q

What is the correlation coefficient?

A
  • between -1 and 1
  • 1 = perfect positive correlation
  • -1 = perfect negative correlation
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11
Q

What is the significance of linear regression?

A
Y = a + bx
Y - outcome (dependent variable)
x - predictor (independent variable)
b - slope
a - intercept
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12
Q

What is statistical significance?

A

observed sample difference between groups may be due to chance

  • statistically significant means unlikely due to chance
  • determined by p value and confidence interval
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13
Q

How is the confidence interval calculated?

A

mean difference ± 1.96 x SE of mean difference

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14
Q

What is the confidence interval?

A
  • mean difference and SE mean difference between 2 groups
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15
Q

What is the p value?

A
  • probably of observing a result as or more extreme of the sample result if the underlying assumption in the population is true
  • if greater than 0.05 (5%) cannot rule out chance effect
  • if less than 0.05 probably not chance
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16
Q

How do you calculate standard deviation?

A

Average distance from the mean
(Value - mean)^2 for each, add up and divide by number of values
square the answer

17
Q

What is the interquartile range?

A

Difference between 75th centile - 25th

- median is 50th

18
Q

For a Gaussian distribution what are the reference ranges?

A

99% ranges lie within 2.58 SDs
95% ranges lie within 1.96 SDs from the mean
90% ranges lie within 1.64 SDs from the mean

19
Q

When do we use standard deviation and when do we use standard error?

A
  • s.d for ranges (individual values)

- SE for confidence intervals (means)

20
Q

As sample size increases how does the range and confidence interval change?

A

Range stays the same

Confidence interval gets narrower

21
Q

How do we determine whether an observed difference was due to chance?

A

Look at confidence intervals and p values

22
Q

What are the 2 types of qualitative data?

A
  • nominal (unordered)

- ordinal (ordered)

23
Q

What are the 2 types of nominal data?

A
  • binary (dead or alive)

- categorical (colours)

24
Q

Define reference ranges

A

A constant proportion of values lying within any specified number of standard deviations above or below the mean

25
Q

How do you calculate reference range?

A

mean ± 1.96 x standard deviation

26
Q

What is the relationship between confidence intervals and p values?

A

If 99% CI for a difference excludes 0 then p<0.01, includes 0 then p ≥ 0.01
95% - excludes 0 then p<0.05, contains then p≥0.05
90% - excludes 0 then p<0.1, contains then p≥0.1