statistical hypothesis test oor Spaans
statistical hypothesis test
Vertalings in die woordeboek Engels - Spaans
contraste de hipótesis
en
method of statistical inference
es
procedimiento de inferencia estadística
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Vertoon algoritmies gegenereerde vertalings
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Various statistical hypothesis testing methods were used for four different scenarios.
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The answers to these questions are contained in a study of statistical hypothesis testing.
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We begin by defining what we mean by a statistical hypothesis and statistical hypothesis testing.
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Descriptive statistics, hypothesis testing and multinomial regression were estimated.
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Use a statistical hypothesis-testing procedure to assess the governor’s chances of reelection.
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Based on a statistical hypothesis test, does the president have strong evidence to support her complaint?
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That is what we do in statistical hypothesis testing when we do not reject the null hypothesis.
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This statistical hypothesis testing problem is called the two-sample problem.
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Statistical hypothesis test: A process by which a decision is made between two opposing hypotheses.
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The statistical hypothesis test follows much the same process, except that it involves statistical information.
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To see if there is a linear relationship between X and Y, a statistical hypothesis test is performed.
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This chapter and several of the following chapters cover statistical hypothesis testing.
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ABSTRACT Effect size (ES) is a necessary complement to the statistical hypothesis testing, however, researchers rarely report ES in their papers.
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Statistical hypothesis testing using the t-test can be used as a basis to accept the model as valid or reject it as invalid.
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The respective statistical hypothesis tests were run on the population parameters of interest in each of the sessions, and a decision was reached with 10% significance.
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A portmanteau test is a type of statistical hypothesis test in which the null hypothesis is well specified, but the alternative hypothesis is more loosely specified.
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So, hypothesis tests, test statistics reject the null hypothesis when the test statistic is big.
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In the statistical analysis, a matched mean difference was calculated for each question, and for the total test, the statistical hypothesis testing was the McNemar Chi-square.
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Statistical analysis: hypothesis tests, chi-square statistic, Student's t-test, Pearson statistic.
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Neyman first introduced the modern concept of a confidence interval into statistical hypothesis testing and co-revised Ronald Fisher's null hypothesis testing (in collaboration with Egon Pearson).
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This quasi-experimental study was performed with pre- and post-study tests given to one group, analyzing quantitative data through a non-parametric statistical hypothesis test and a non-parametric measure of rank correlation.
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The test statistic given for hypothesis tests is justified by the following: 1.
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The standard normal variable z is our test statistic for this hypothesis test.
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Such measures can be used in statistical hypothesis testing, e.g. to test for normality of residuals, to test whether two samples are drawn from identical distributions (see Kolmogorov–Smirnov test), or whether outcome frequencies follow a specified distribution (see Pearson's chi-squared test).
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These data are analysed either by using a regression model in order to estimate the concentration that would cause x % reduction in emergence, larvae survival or growth (e.g. EC15, EC50, etc.), or by using statistical hypothesis testing to determine a NOEC/LOEC.
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