5. Analysing Proportions Flashcards

1
Q

What is a binomial distribution?

A

The probability distribution for the number of successes

○ In a fixed number of…

○ Independent trial…

○ When the probability of success is the same each trial

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2
Q

Know how to use the binomial distribution to perform a binomial test

A
  • start by forming null and alterative hypothesizes
  • decide if one tailed or two tailed
  • use binomial formula to work out probability of success
  • compare to significance level (usually 5%)
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3
Q

What is sample proportion

A

An unbiased estimator of the population proportion, p

given symbol p-hat

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4
Q

Know how to calculate a sample proportion

A

number of successes (x) over number of trials (n)

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5
Q

Know how to calculate a 95% confidence interval for the sample proportion
using the Agresti‐Coull method

A
  • work out p’

p’ = (x+2)/(n+4)

  • then use p-prime to make 95% confindence intervals

1.96SE

SE = root[ {(p-hat)(1-p)} /n ]

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6
Q

When do you use a chi-squared test?

A
  • when we have observed values
  • and when we get expected values by using a proportional model
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7
Q

how do you calculate the degrees of freedom for a chi-squared test?

A

Df = number of categories - 1 - number of parameters

Higher degree of freedom → less skewed fit.

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8
Q

When cant you use a chi-squared test?

A

Any category has an expected frequency <1

More than 20% of their categories have an expected frequency of <5

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9
Q

What is a Poisson distribution?

A

Describes number of successes in blocks of time or space
■ When successes happen independently of each other
■ And occur with equal probability at every instant in time and point space

Used for count data

Used to test whether events are randomly distributed in time/space

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10
Q

How do you use a chi-squared test to identify if data comes from a Poisson distribution?

A

Calculate expected data using the Poisson distribution calculator

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