It is the process of using sample measures to draw conclusions about population parameter.
HYPOTHESIS TESTING
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It is a claim about a population parameter.
HYPOTHESIS
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It is a positive claim about a parameter. (Ho)
Null Hypothesis
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It is a second option to the (Ho)
Alternative Hypothesis
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It is a sample measure that is tested.
Test Statistic
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The level for the probability of rejecting (Ho)
Significance Level
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The rejection region
Critical Region
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The boundary or value of rejection region
Critical Value
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The region containing all observations for which (Ho) fails to be rejected.
Acceptance Region
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A test where only very low or very high values are considered 'extreme'
One-tail
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The function which gives the probability of a Type 2 error occurring for a range of values for the alternative hypothesis
Power of the Test
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A single value given as an estimate of a parameter of a population.
Point estimate
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A test considering 'extreme' values at both ends of the range as a rejection of the (Ho).
Two-tail
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Another name for the critical region
Rejection Region
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The probability distribution of the given statistic
Sample-distribution-of-the-statistic
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The mean value of the data set, used as an unbiased estimator for the population mean.
Sample mean
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A large group from which a sample is drawn
Population
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The sum of all the values divided by the number of the values.
Mean
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A continuous distribution that is symmetric and infinite in both directions
Normal
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Express in clear terms.
State
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Work out from given facts, figures and information.
Calculate
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A sample where each member of the population has an equal chance of being selected; all possible combinations are equal.
Random
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The average of the squared distances of the mean.
Variance
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The (Ho) is true, but is rejected.
Type 1 error
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(Ho) accepted, but not true.
Type 2 error
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A type of distribution used to model how often one outcome occurs in a series of Bernoulli trials.
Binomial
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The probability distribution of the number of events occurring in a fixed interval of time or space when the events occur randomly, but the mean number of events is proportional to the size of the interval.
Poisson
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Provide structured evidence that leads to a given result.
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