Analyzing Proportions Flashcards

1
Q

what is a proportion

A

the fraction of a population bearing some trait

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2
Q

how does proportion apply to statistic s

A

its the probability that an individual chosen from a population will bear the trait of interest

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3
Q

what numbers are proportions between

A

0 and 1

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4
Q

what does the binomial distribution apply towards

A

measurements that can be divided into two mutually exclusive groups

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5
Q

what is the general outcome for a binomial distribution/test

A

success (shows the desired outcome) or failure (does not show the desired outcome)

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6
Q

what is the binomial distribution

A

the probability distribution for the number of successes in a fixed number of trials when the probability of each success is THE SAME FOR EACH TRIAL

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7
Q

what variable represents number of successes

A

X

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8
Q

what variable represents the number of independent trials

A

n

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9
Q

what variable represents the probability of success for each trial

A

p-hat

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9
Q

what are important assumptions for n in a binomial distribution

A
  1. separate trials are independent
  2. probability of success (p) is the same in every trial
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10
Q

describe the binomial distribution equation

A
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11
Q

how to calculate “n chose X”

A
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12
Q

when do we have an unbiased estimate

A

when the mean sampling proportion= population proportion

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13
Q

how does a graph show a more precise sampling proportion value

A

the narrower spread of the data = more precise p-hat value

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14
Q

what is the binomial test

A

a test that uses data to test whether a population proportion (p) matches a null hypothesis expectation for the proportion

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15
Q

what is a null hypothesis for binomial test

A

relative frequency of successes in the population is the expected null hypothesis proportion (po)

16
Q

what is an alternative hypothesis for binomial test

A

the relative frequency of successes in the population is NOT the expected null hypothesis value

17
Q

is the alternative hypothesis in a binomial test two sided or one

A

two sided
( can either be above or below the null hypothesis expectation)

18
Q

when do we reject a null hypothesis in binomial testing

A

if the P-value calculated in below the significance level

19
Q

how do you calculate p-hat (the sample proportion)

A
20
Q

what is the binomial test OVERVIEW

A

whether a population proportion (p) matches a null expectation (po)

21
Q

what does a binomial test assume

A

random sample

22
Q

what is the test statistic in a binomial test

A

observed number of successes (X)

23
Q

when is an approximation of P values done

A

when n and X and huge numbers

24
Q

does a binomial test give an exact or approximate P value

A

EXACT P value

25
Q

what are the goals of estimating proportions

A
  • estimate the population proportion (phat)
  • estimate the standard error of proportion (SE p-hat)
  • estimate confidence intervals for proportions
26
Q

what is standard error

A

the standard deviation of the sampling distribution

27
Q

how to calculate standard error of the proportion

A
28
Q

how to calculate confidence intervals with Wald Method

A

where Z is 1.96

29
Q

how to calculate confidence intervals with Agresti-Coull Method

A