null hypothesis

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A hypothesis set up to be nullified or refuted in order to support an alternative hypothesis. When used, the null hypothesis is presumed true until statistical evidence in the form of a hypothesis test indicates otherwise. Therefore, the null and the alternative hypothesis must be mutually exclusive and exhaustive. The use of the null hypothesis is controversial
What do you do when you want others to be maximally impressed with what you do? You DECREASE EXPECTATIONS, then what you do accomplish looks even better! The null hypothesis is the assumption that there is no difference between the groups and that the treatment you are studying has no effect Any difference in outcome actually observed between the groups is then evaluated in relationship to the "zero expectation" hypothesis
A statement that there is no difference in measures of the criterion vairable except what would be expected from sampling; requires that a significance level be stated ( 05, 01, )
– In terms of probability, the hypothesis of what most likely is occurring in a situation; the goal of subsequent experiments is then to try to disprove the null hypothesis
The hypothesis, or assumption about a population parameter we want to test; usually an assumption of the status quo
The statistical hypothesis tested by the statistical procedure Usually a hypothesis of no difference or no relationship
an assertion that the independent variable in a study will have no effect on the independent variable
The hypothesis that there is no validity to the specific claim that two variations (treatments) of the same thing can be distinguished by a specific procedure
The prediction that the independent variable will have no effect on the dependent variable in an experiment
A statistical hypothesis that any difference observed among treatment conditions occurs by chance and does not reflect a true difference Rejection of the null hypothesis means that we believe the treatment conditions are actually having an effect
The hypothesis that an observed pattern of data and an expected pattern are effectively the same, differing only by chance, not because they are truly different A statistical significance test is then generally applied to the data to test whether the hypothesis can be rejected If so, the observed and expected patterns are said to be significantly different Tests do not establish that the null hypothesis is true 'Expected' patterns may be derived from theory or from other, related data sets
The hypothesis that nothing is happening in the data that would not be expected by chance Some null hypothesis are (a) the means of two groups are equal, (b) the slope in a simple regression is zero, (c) the correlation between two variables is zero, and (d) the classifcation of the data according to one nominal variable is independent of the classifcation of that data according to a second nominal variable
1) a hypothesis that is being tested, or is about to be tested 2) the assumption that there are no differences between a randomly drawn sample, and the population from which it is drawn
A formal statement that there is no difference or no relationship between variables Researchers often use the results of statistical test to reject the null hypothesis
The hypothesis tentatively assumed true in the hypothesis testing procedure
The statement being tested in a hypothesis test It usually represents the status quo and it is not rejected unless there is convincing sample evidence that it is false (page 301)
The statement being tested in a test of significance
In hypothesis testing, the hypothesis we wish to falsify on the basis of the data The null hypothesis is typically that something is not present, that there is no effect, or that there is no difference between treatment and control
the prediction that there is no relationship between your treatment and your outcome
The primary hypothesis being investigated; often it is an hypothesis that there is no difference between two values, or that a sample value is not different from zero
The null hypothesis is used in experimental research   It asserts arbitrarily that there is no relationship among the variables being studied Then statistical tests are used to determine if any relationship shown by the research data is due to chance alone or to alternative hypotheses
The general assumption in statistics that two populations or two sub-groups are equal until proven otherwise If the difference in survey results is large enough that it would not be likely to occur by chance, you reject the null hypothesis and conclude the difference between the sample "is statistically significant at the confidence level you were testing
the prediction that is tentatively held to be true; it states that no relationship will be found between two variables, or that the means of multiple groups are equal
Is a hypothesis that has been suggested because it is believed to be true or because it is to be used as a starting point for scientific argument Used in statistical testing to organize arguments
This is usually a statement of "no effect", that is to say that the independent variable will not have any effect on the dependent variable and that any differences between the experimental and control groups are attributable to chance The null hypothesis is usually represented by the symbol H0, and is stated in order that it can be rejected as an explanation for the results of the experiment
The statistical hypothesis that states that there are no differences between observed and expected data
null hypothesis

    Heceleme

    null hy·poth·e·sis

    Türkçe nasıl söylenir

    nʌl haypäthısıs

    Telaffuz

    /ˈnəl hīˈpäᴛʜəsəs/ /ˈnʌl haɪˈpɑːθəsəs/

    Etimoloji

    [ 'n&l ] (adjective.) circa 1567. Middle French nul, literally, not any, from Latin nullus, from ne- not + ullus any; akin to Latin unus one; more at NO, ONE.

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