Examples of using Null hypothesis in English and their translations into Hungarian
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Programming
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Official/political
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Computer
The null hypothesis is that it isn't.
Thus we accept the null hypothesis.
Our null hypothesis is that it is not.
Hence we accept the null hypothesis.
The null hypothesis is that it does not.
Therefore we accept the null hypothesis.
The null hypothesis is that they are not.
As 43.5> 23 the null hypothesis is rejected.
Null hypothesis, and alternate hypothesis. .
Since 8> 6.93, we reject the null hypothesis.
And the null hypothesis is that it shouldn't have.
If p value is large you accept null hypothesis.
Null Hypothesis and Alternative Hypothesis. .
Is a large enough difference to reject the null hypothesis.
In particular, the null hypothesis and the alternative version.
How probable are your sample data if the null hypothesis is correct?
Null hypothesis(H0): The two variables are independent.
The first type of error occurs when the null hypothesis is wrongly rejected.
H0(null hypothesis): The two qualitative variables are independent.
This is less than the level of significance(0.05), so we reject the null hypothesis.
If the null hypothesis is true, there will be an equal number of+ signs and- signs.
If the difference is large between the two we reject the null hypothesis.
If the null hypothesis is true, the number of+ signs and the number of- signs are equal.
Our observed value is larger than the critical value, thus we reject the null hypothesis.
If the null hypothesis is valid, the only thing the test person can do is guess.
The computed t of 1.166≤ 1.833, so the null hypothesis cannot be rejected.
The test statistic is greater than the critical value,so we will reject the null hypothesis.
A null hypothesis is a statement about the value of a population parameter.
The second type of error occurs when the null hypothesis is wrongly not rejected.