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You should accept the null hypothesis when the evidence from your data does not provide sufficient support to reject it. This typically occurs when the p-value is greater than the predetermined significance level (commonly set at 0.05), indicating that the observed results are likely due to random chance rather than a true effect. It's important to note that accepting the null does not prove it true; it simply suggests that there is not enough evidence to conclude otherwise.
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Would I accept or reject the null hypothesis if the probability of the obtained statistic is 0.001 and alpha is 0.05?
You should reject the null hypothesis.
When you accept the Null Hypothesis you are certain that the Null Hypothesis is correct?
No, you are never certain.
What does the researcher hope to do with the null hypothesis (the opposite of the research hypothesis)?
Be able to reject the null hypothesis and accept the research hypothesis
Which variable type do you use to accept only non negative integers and null values?
This is the set of natural numbers.
How to calculate the null and alternative hypothesis and test 5 level of significance?
The null and alternative hypotheses are not calculated. They should be determined before any data analyses are carried out.
