Examples of 'hypothesis tests' in a sentence

Meaning of "hypothesis tests"

Hypothesis tests are statistical methods used to assess the validity or reliability of a hypothesis, claim, or statement about a population or data set. These tests are used in scientific research, data analysis, and experimental studies to determine the probability of a given hypothesis being true or false

How to use "hypothesis tests" in a sentence

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hypothesis tests
Hypothesis tests and confidence intervals are developed.
It may also be used for constructing hypothesis tests.
Hypothesis tests about a population proportion.
In fact the confidence intervals correspond to hypothesis tests.
Hypothesis tests on the mean.
This caution applies to hypothesis tests and alternatives to them.
Hypothesis tests on the proportion.
It is based on stochastic distances and their associated hypothesis tests.
The hypothesis tests the association between two factors.
The second common error is related to the interpretation of hypothesis tests.
Two sample hypothesis tests for means and proportions.
Continuous data may be used in many unique kinds of hypothesis tests.
All hypothesis tests follow the same basic structure.
Continuous data may be used in many distinct kinds of hypothesis tests.
Hypothesis tests can be used to evaluate many different parameters of a population.

See also

Conduct and interpret hypothesis tests for two population proportions.
Hypothesis tests are used in everything from science and research to business and economic.
Conduct and interpret hypothesis tests for a single population proportion.
Hypothesis tests are used to test the validity of a claim that is made about a population.
All the results were submitted to statistical hypothesis tests considering each parameter studied.
No hypothesis tests were conducted.
The following table lays out the important details for hypothesis tests.
Formulate hypothesis tests involving samples from one and two populations.
The problem can then be formalized with two successive binary hypothesis tests.
The growth hypothesis tests how new customers will discover a product or service.
We identified areas with significantly increased or decreased risk using pointwise hypothesis tests.
A growth hypothesis tests whether new customers will be able to discover the service.
Another advantage of the CART is that it does not depend on hypothesis tests.
The third research hypothesis tests if the value impacts have appeared in stages.
This project focuses on the development of default Bayesian hypothesis tests for structural equation models.
The third hypothesis tests the prediction that adults of the derived species.
Statistical inference, estimation and hypothesis tests.
All statistical hypothesis tests and all statistical estimators are derived via statistical models.
To analyze them simultaneously, the hypothesis tests are multiplied.
Hypothesis tests provide a quantitative basis for showing whether the data supports our claims.
This is useful, for instance, in the construction of hypothesis tests or confidence intervals.
Hypothesis tests based on panel data from Peru.
There are no prerequisites, although knowledge of biostatistics would be useful for hypothesis tests.
Hypothesis tests on the mean Hypothesis tests on the proportion.
It 's based on dry weather scenarios compared with hydraulic measurements thanks to hypothesis tests.
All statistical hypothesis tests have a probability of making type I and type II errors.
Data statistical treatment, as extremal analysis of waves and winds, correlations and hypothesis tests.
All hypothesis tests have a probability of making type I and II errors.
In this dissertation, we deal with refinements for hypothesis tests in nonlinear heteroskedastic regression models.
Sample hypothesis tests for means and proportions, applied combinative.
As such, Wald-type approaches to constructing confidence intervals and hypothesis tests can be used.
In that case, the hypothesis tests based on them are not valid.
Significance level adopted was 5 % in all hypothesis tests.
To be rigorous, hypothesis tests need to watch out for common errors.
A significance level of 0,05 was adopted for all hypothesis tests.

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