Statistics & Data Analysis Flashcards

1
Q

Define statistics

A

The practice of collecting and analysing numerical data in large quantities, especially to infer proportions in a whole from those in a representative sample

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2
Q

Why do we need statistics?

A

To distinguish between randomness and systematic features in large datasets

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3
Q

What are the main tasks of statistical analysis?

A

Design of experiments and data collection, data description, tests of hypothesis, model fitting

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4
Q

What can probability often be interpreted as?

A

a population relative frequency

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5
Q

What does Probability theory use to assess uncertain situations mathematically

A

random variables and probability distributions

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6
Q

Define odds

A

The probability that the event will occur divided by the probability that it will not

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7
Q

What is the equation to calculate Odds and P

A

odds = p/(1-p). p = odds/(1 + odds)

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8
Q

What is sensitivity?

A

The likelihood of true positives

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9
Q

Equation for sensitivity

A

Sensitivity = TP / (TP + FN)

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10
Q

What is specificity?

A

The likelihood of true negatives

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11
Q

Equation for specificity

A

TN / (TN + FP)

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12
Q

What are the different study designs?

A

Experimental, observational , Prospective vs retrospective, cross-sectional vs longitudinal, representative vs random sample

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13
Q

What are some key points of Experimental study?

A

Randomised controlled trial, intervention group vs placebo group

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14
Q

What are some key points about Observational study?

A

No intervention, cohort study(group of subjects linked in some way), case control study

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15
Q

What are two types of qualitative data?

A

Nominal and Ordinal

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16
Q

What is the purpose of Descriptive statistics

A

To describe the distribution of a phenomenon such as height in a population

17
Q

What do Descriptive statistics show measures of

A

Location, Dispersion of data(spread), Association(for two variables)

18
Q

What does Standard error of the mean(SEM) measure

A

variability across multiple samples in a population

19
Q

What does Skewness quantify

A

the degree of distortion from a normal distribution

20
Q

For Skewed distributions, is it better to report the mean or the median?

21
Q

What is Kurtosis and what does it describe?

A

Peaked distribution, how heavily the tails of a distribution differ from a normal distribution

22
Q

What term describes dependencies between two variables?

A

Correlation

23
Q

Two commonly used measures of correlation

A

Pearson and Spearman

24
Q

When is Pearson correlation used?

A

For quantitative data, linear relationship

25
Q

When is spearman correlation used?

A

Quantiatave or ordinal data, Monotonic relationship, good for non-normal data, based on ranks of the data