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Viefleur [7K]
3 years ago
11

"given a population in which the probability of success is p = 0.20, if a sample of 500 items is taken, then calculate the proba

bility the proportion of successes in the sample will be between 0.18 and 0.23 if the sample size is 200."
Mathematics
1 answer:
Rufina [12.5K]3 years ago
4 0
Binomial conditions<span>fixed number of trials
each trial must be either a success or a fail
trails must be independent
the value of P must remain constant</span>Binomial E(X)npBinomial Var(X)np(1-p)Poisson conditions<span>events must be independent
events must occur singly in space or time
event must occur at a constant rate</span>poisson E(X)£Var(X)£binomial to normal<span>n is large
p is close to 0.5
N(np,np(1-p)
np>10</span>binomial to poisson<span>n is large
p is small
Po(np)
np<10</span>poisson to normal<span>n is large
N(£,£)</span>populationa collection of itemscensusinformation obtained from every member of a populationsamplea selection of indvidual members from a populationpopulation parameterany characteristic of a population which is measurablefinite populationa population in whihc every individual member can be given a numberinfinite populationa population which is impossible to give a number to every individualadvantage censusevery single member of a population is used, unbiased, gives an accurate answerdisadvantage censustime consuming, costly, difficult to ensure that the whole population is surveyeddisadvantage sample<span>natural variation
bias</span>advantage sample<span>sample is representative
cheaper
data more readily avalible</span>poisson<span>events occur randomly
singly in space or time
independently of each other
constant rate</span>binomial<span>fixed number of trials
each trail either a success or failure
trails independent
probability of success constant</span>significance levelprobability of incorrectly rejecting the null hypothesisstatisticrandom variable quantity calculated soley from observations in a sample does not involve any unknown parameters numerical property of a samplesampling distributionall possible values of a test statistic and their probabilitiessampling framea list of all the sampling units within a populationsampling unitsthe individual units of a populationsample surveyan investigation using a samplerandom samplingevery possible sample of size n has an equal chance of being selectedhypothesisa statement made about the value of a population parameternull hypothesishypothesis that is assumed to be correcttest statistica form of a statistic in which the evidence from a sample in a hypothesis test is summarisedcritical valuesthe values on the boundaries
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