Tests - Casio FX-9750G plus User Manual

18-6 Tests

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Test provides a variety of different standardization-based tests. They make
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it possible to test whether or not a sample accurately represents the population
when the standard deviation of a population (such as the entire population of a
country) is known from previous tests.
public opinion research, that need to be performed repeatedly.
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1-Sample Test tests for unknown population mean when the population
standard deviation is known.
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2-Sample Test tests the equality of the means of two populations based on
independent samples when both population standard deviations are known.
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1-Prop Test tests for an unknown proportion of successes.
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2-Prop Test tests to compare the proportion of successes from two populations.
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The Test uses the sample size and obtained data to test the hypothesis that the
sample is taken from a particular population. The hypothesis that is the opposite of
the hypothesis being proven is called the null hypothesis , while the hypothesis
being proved is called the alternative hypothesis . The
test the null hypothesis. Then a determination is made whether the null hypothesis
or alternative hypothesis will be adopted.
When the sample shows a trend, the probability of the trend (and to what extent it
applies to the population) is tested based on the sample size and variance size.
Inversely, expressions related to the
size required to improve probability. The
population standard deviation is not known, so it is useful in cases where there is
only a single survey.
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1-Sample Test tests the hypothesis for a single unknown population mean when
the population standard deviation is unknown.
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2-Sample Test compares the population means when the population standard
deviations are unknown.
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LinearReg Test calculates the strength of the linear association of paired data.
In addition to the above, a number of other functions are provided to check the
relationship between samples and populations.
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Test tests hypotheses concerning the proportion of samples included in each of
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a number of independent groups. Mainly, it generates cross-tabulation of two
categorical variables (such as yes, no) and evaluates the independence of these
variables. It could be used, for example, to evaluate the relationship between
whether or not a driver has ever been involved in a traffic accident and that
person's knowledge of traffic regulations.
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testing is used for market research and
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-test is normally applied to
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test are also used to calculate the sample
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test can be used even when the