Examples of hypothesis in the following topics:

 A hypothesis is a potential answer to your research question; the research process helps you determine if your hypothesis is true.
 This is an example of a causal hypothesis.
 To test this hypothesis, he compared twenty different regional Italian governments.
 To test this hypothesis, he compared twenty different regional Italian governments.
 While there is no single way to develop a hypothesis, a useful hypothesis will use deductive reasoning to make predictions that can be experimentally assessed.

 Experiments are tests designed to prove or disprove a hypothesis by controlling for pertinent variables.
 Scientists form a hypothesis, which is a prediction or an idea that has not yet been tested.
 In order to prove or disprove the hypothesis, scientists must perform experiments.
 The experiment is a controlled test designed specifically to prove or disprove the hypothesis .
 An experiment is a controlled test designed specifically to prove or disprove a hypothesis.

 In the analysis of variables, this is testing a hypothesis about a singlesample mean or proportion.
 We might want to be confident that there actually are ties present (null hypothesis: network density is really zero, and any deviation that we observe is due to random variation).
 We might want to test the hypothesis that the proportion of binary ties present differs from .50; we might want to test the hypothesis that the average strength of a valued tie differs from "3."
 Figure 18.6 shows the results of the hypothesis test.
 How often would a difference this large happen by random sampling variation, if the null hypothesis (density = 1.000) was really true in the population?

 Popularly known as the Sapirâ€“Whorf hypothesis, or Whorfianism, the principle is often defined as having two versions:
 The hypothesis of linguistic determinism is now generally agreed to be false, though many researchers are still studying weaker forms of correlation, often producing positive empirical evidence for a correlation .
 The SapirWhorf Hypothesis suggests that language shapes the way we see the world.

 We would like to test this hypothesis by comparing the average outdegree of governmental and nongovernmental actors in one organizational field.
 This would seem to support our hypothesis; but tests of statistical significance urge considerable caution.
 Differences as large as 6.481 in favor of government organizations happen 33.4% of the time in random trials  so we would be taking an unacceptable risk of being wrong if we concluded that the data were consistent with our research hypothesis.

 The conventional approach greatly underestimates the true sampling variability, and gives a result that is too optimistic in rejecting the null hypothesis that the two densities are the same.
 If we had a prior alternative hypothesis about the direction of the difference, we could use the onetailed p level of .0052.

 In many cases, the same or closely related tools are used for questions of assessing generalizability and for hypothesis testing.
 The basic logic of hypothesis testing is to compare an observed result in a sample to some null hypothesis value, relative to the sampling variability of the result under the assumption that the null hypothesis is true.
 If the sample result differs greatly from what was likely to have been observed under the assumption that the null hypothesis is true  then the null hypothesis is probably not true.
 The key link in the inferential chain of hypothesis testing is the estimation of the standard errors of statistics.
 These differences are quite consequential for both the questions of generalization of findings, and for the mechanics of hypothesis testing.

 2) Hypothesis (a theoretical, hypothetical explanation of the observations and / or measurements)
 3) Prediction (logical deduction from the hypothesis or logical induction from the data)
 A hypothesis includes a suggested explanation of the subject.
 If results confirm the predictions, then the hypothesis might be correct but is still subject to further testing.
 For instance, failure of a hypothesis to produce interesting and testable predictions may lead to reconsideration of the hypothesis or of the definition of the subject.

 Rather than beginning with a hypothesis, the first step is data collection through a variety of methods.
 From these concepts, categories are formed, which are the basis for the creation of a theory, or a reverse engineered hypothesis.
 Social scientists begin with an observation (a practice), then they develop a hypothesis (or theory), and then, devise an empirical study to test their hypothesis.

 The most widely held hypothesis proposes that the socalled Westermarck effect discourages adults from engaging in sexual relations with individuals with whom they grew up.
 This hypothesis has also achieved some empirical support.