Discrete distributions

Practicing Statistics Interview Questions in R

Zuzanna Chmielewska

Actuary

Probability

chip cube dice

Practicing Statistics Interview Questions in R

Overview of common distributions

overview of common distributions

Practicing Statistics Interview Questions in R

Probability functions in R

prefix purpose example
d density dnorm()
Practicing Statistics Interview Questions in R

Probability functions in R

prefix purpose example
d density dnorm()
p distribution function pnorm()
Practicing Statistics Interview Questions in R

Probability functions in R

prefix purpose example
d density dnorm()
p distribution function pnorm()
q quantile function qnorm()
Practicing Statistics Interview Questions in R

Probability functions in R

prefix purpose example
d density dnorm()
p distribution function pnorm()
q quantile function qnorm()
r random variates rnorm()
Practicing Statistics Interview Questions in R

Discrete uniform distribution

cubes

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Discrete uniform distribution

cubes

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Discrete uniform distribution

cubes

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Discrete uniform distribution

sample(1:6, size = 1)
[1] 1
purrr::rdunif(n = 1, b = 6, a = 1)
[1] 2
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Bernoulli distribution

Probability mass function: $$ P(X = 1) = p $$

$$ P(X = 0) = 1-p $$

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Bernoulli distribution

a coin

$$ p = 0.5 $$

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Binomial distribution

binomial distribution

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Binomial distribution

binomial distribution

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Binomial distribution

binomial distribution

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Binomial distribution

binomial distribution

$$ P(X=k)=\binom{n}{k}p^k(1-p)^{n-k} $$

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Binomial distribution

binomial distribution

$$ P(X=k)=\binom{n}{k}p^k(1-p)^{n-k} $$

Practicing Statistics Interview Questions in R

Binomial distribution

binomial distribution

$$ P(X=k)=\binom{n}{k}p^k(1-p)^{n-k} $$

Practicing Statistics Interview Questions in R

Binomial distribution

binomial distribution

$$ P(X=k)=\binom{n}{k}p^k(1-p)^{n-k} $$

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Binomial distribution in R

Binomial distribution:

rbinom(n, size = k, prob = p)

Bernoulli distribution:

rbinom(n, size = 1, prob = p)
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Frequency table

random_numbers <- sample(1:10, size = 1000, replace = TRUE)

table(random_numbers)
random_numbers
  1   2   3   4   5   6   7   8   9  10 
101 106  82 102  91 104 105 106 109  94
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Frequency chart

random_numbers <- sample(1:10, size = 1000, replace = TRUE)

barplot(table(random_numbers))

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Reproducibility

set.seed(123)

sample(1:10, size = 3) sample(1:10, size = 3)
3 10 2
2  6 3
Practicing Statistics Interview Questions in R

Reproducibility

set.seed(123)
sample(1:10, size = 3)
set.seed(123)
sample(1:10, size = 3)
3 10 2
3 10 2
Practicing Statistics Interview Questions in R

Summary

  • probability functions in R
  • common discrete distributions
    • discrete uniform
    • bernoulli
    • binomial
  • frequency chart
  • reproducibility
Practicing Statistics Interview Questions in R

Let's practice!

Practicing Statistics Interview Questions in R

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