PROBABILIDAD Flashcards

1
Q

Probabilidad objetiva y subjetiva

A
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2
Q

Empirical probability dado STATA

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3
Q

Binomial probability

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4
Q

Binomial probability

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5
Q

Binomial probability

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6
Q

Poisson

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7
Q

Poisson

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8
Q
A
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9
Q

Bar graph binomial distribution

A
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10
Q

Poisson formula

A
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11
Q
A
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12
Q

En STATA

A
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13
Q
A
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14
Q
A
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15
Q

2 dice in STATA

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16
Q

PROBABILITY PROBLEM

A
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17
Q
A
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18
Q
A
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19
Q

STATA IS LEFTLIST

A
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20
Q
A
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21
Q

Pnorm graphs to check normality should be used with… sample sizes

A

Large

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22
Q

In medicine we usually have a long R tail, so we use transformations of the variable so that they can follow a normal distribution

A
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23
Q

NORMAL DISTRIBUTION SUMMARY

A
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24
Q
A

Random error

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25
Q
A

Systematic error-bias

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26
Q

Sampling in STATA

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27
Q

Sampling in STATA

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28
Q

Para no perder el trabajo cuando hacemos RANDOM SAMPLING IN STATA, debemos usar los comandos…

A

preserve
….
restore

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29
Q
30
Q
A

Random allocation “randomization”

31
Q

RANDOMIZATION IN STATA

32
Q

What can you do to get again exactly the same random allocation or the same random sampling in STATA?

A

Set seed 9999

33
Q

In internal validity, what is more important? Biological inference or statistical respresentativeness?

A

BIOLOGICAL INFERENCE: for causal inference.
Representativeness can become a fallacy and it is needed for external validity.

34
Q

REPLICAR EL CENTRAL LIMIT THEOREM EN STATA: sacar una muestra y su media

35
Q

PROBABILITY INTERVALS VS CI (VERY IMPORTANT)

A

With age we cannot apply normal distribution, it is calculating a probability interval. We can only calculate the CI with a sample in ESTIMATORS.

37
Q

¿Qué observamos?

A

200 intervalos de confianza del 95% para la media de edad calculados en 200 muestras, cada una de 36 sujetos.

AL FINAL TENEMOS 5 CI WHICH FAIL, NO TOCAN LA REALIDAD, por ello 95% CI.

38
Q

PROBLEMA RESUELTO CON DISTRIBUCIÓN NORMAL Y BINOMIAL

39
Q

PROBLEMA A RESOLVER CON NORMAL Y POISSON

42
Q

Probability following a normal distribution

48
Q

T tail STATA

49
Q

Rejecting the null hypothesis

50
Q

Hypothesis testing for a proportion

51
Q

Hypothesis testing for a proportion in STATA

A

Always look at 2-tailed

52
Q

Hypothesis testing for a mean

53
Q

INTERPRETACIÓN p value

54
Q

Two-sample test of proportions in STATA

55
Q

Z test for proportions in STATA

56
Q

Chi 2 en STATA

57
Q

Getting expected values in STATA

58
Q

If expected values in chi are lower than 5, what do we use?

A

FISHER EXACT TEST

59
Q

Pearson chi 2 with rows and columns

A

Here we have 3 DF.
En la última foto, a la izquierda sacamos expected values y a la derecha observed

60
Q

Chi 2 y z with only one variable and many categories

61
Q

Mc Neman paired test for proportions

62
Q

Chi2 for linear trend

A

1df, ordinal variables

63
Q

T test parametric indecent variables STATA

64
Q

corregir CI en t-test

65
Q

F distribution para comparar SD, si es mayor que 0.05 cumple homogeneidad.
Mirar t-tail más pequeña

66
Q

Sd test con calculadora en STATA

67
Q

T test heterogeneous variances STATA

68
Q

Paired T-test en STATA

69
Q

Paired t test but with mean vs external reference

70
Q

ESQUEMA COMPARISON OF MEANS

71
Q

Mann Whitney U test STATA