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Search results with tag "Alternative hypothesis"

Introduction to Hypothesis Testing - SAGE Publications Inc

Introduction to Hypothesis Testing - SAGE Publications Inc

www.sagepub.com

An alternative hypothesis (H 1) is a statement that directly contradicts a null hypothesis by stating that that the actual value of a population parameter is less than, greater than, or not equal to the value stated in the null hypothesis. The alternative hypothesis states what we think is wrong about the null hypothesis, which is needed for ...

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Bootstrap Hypothesis Test - University of California, Los ...

Bootstrap Hypothesis Test - University of California, Los ...

www.stat.ucla.edu

> t.test(betterspeed,alternative="two.sided",mu=33.02) One Sample t-test data: betterspeed t = -4.6078, df = 17, p-value = 0.0002508 alternative hypothesis: true mean is not equal to 33.02 95 percent confidence interval: 23.83863 29.60582 sample estimates: mean of x 26.72222 As you can see, the p-value is not exactly 0, but is quite small.

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Null hypothesis vs. alternative hypothesis

Null hypothesis vs. alternative hypothesis

courses.cit.cornell.edu

A hypothesis is called simple if it completely specify the probability distribution and otherwise com-posite. Example 1 Suppose that we observe data y =(y1,···,yn). If we are willing to assume that the data set is a random sample from N (θ,10) where θ ∈{1,2}. We want to check which value of θ is consistent with data.

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Statistical Hypothesis Testing

Statistical Hypothesis Testing

www.afit.edu

The alternative hypothesis is the claim to be tested; it reflects what the tester is trying to show. To illustrate the concept of null and alternative hypotheses, consider a criminal trial. In the criminal justice system, the defendant is presumed innocent until …

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Hypothesis Testing - Duke University

Hypothesis Testing - Duke University

www2.stat.duke.edu

23.1 How Hypothesis Tests Are Reported in the News 1. Determine the null hypothesis and the alternative hypothesis. 2. Collect and summarize the data into a test statistic. 3. Use the test statistic to determine the p-value. 4. The result is statistically significant if the p-value is less than or equal to the level of significance.

  Alternatives, Hypothesis, Alternative hypothesis

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