Sentence examples for the false hypothesis from inspiring English sources

Exact(2)

Horapollon made use of a good source, but he himself certainly could not read hieroglyphic writing and began with the false hypothesis of the Greek tradition namely, that hieroglyphs were symbols and allegories, not phonetic signs.

was based on the equations with the false hypothesis that big is independent of (see [1, pages 63-64] 63-64], pands 54-55]).

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Contracts for the correct hypotheses paid VMU 100 at the end of the experiment, contracts representing one of the false hypotheses paid VMU 0. The trading platform used an automated marker maker.

The paper is his "On the Function of False Hypothesis in Ethics," published in 1916.

There are cases when it is larger, which seems illogical, but there is no guarantee λ decreases because the test is against a false hypothesis, with the actual distribution fitting closer to the Poisson with the wrong parameters.

Power is defined as 1 − β, i.e., the probability of rejecting a false hypothesis, or the probability of not making a Type II error.

In model C the probability of discovering a false hypothesis is higher for the Tukey-Kramer test, but yet this test cannot be used because the familywise error rate is not controlled (Figure 1C). Figure 3 shows the distributions of high- and low-temperature-tolerance-providing FAs in six PE of B. simplex (PE3 PE9) for six different experimental conditions (Figures 3a to 3f).

Have we built an edifice of nutrition science on the foundation of a false hypothesis?

In the example of polar interrogatives, discussed above, we saw how children apparently require explicit falsifying evidence in order to rule out the plausible-seeming but false hypothesis, H1.

There is discussion as to what states of affairs is less desirable; many people think that the acceptance of a false hypothesis is always worse than failure to accept a true one and that science should in the first place try to avoid the former kind of error.

The concept of power is closely related to the two types of statistical errors: the Type I error (i.e., the probability of rejecting a true hypothesis, α), and the Type II error (i.e., the probability of accepting a false hypothesis, β).

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