0
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.
What else can I help you with?
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.
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.
Can the foreign key accept null?
yes
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
What does the researcher hope to do with null hypothesis the opposite of the research hypothesis?
Be able to reject the null hypothesis and accept the research hypothesis
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
How is z score and p value related?
The z-score is a statistical test of significance to help you determine if you should accept or reject the null-hypothesis; whereas the p-value gives you the probability that you were wrong to reject the null-hypothesis. (The null-hypothesis proposes that NO statistical significance exists in a set of observations).
Can you accept and reject the null Hypothesis Why or why not?
Some people say you can either accept the null hypothesis or reject it. However, there are statisticians that insist you can either reject it or fail to reject it, but you can't accept it because then you're saying it's true. If you fail to reject it, you're only claiming that the data wasn't strong enough to convince you to choose the alternative hypothesis over the null hypothesis.
What causes hypothesis to be rejected?
We have two types of hypothesis i.e., Null Hypothesis and Alternative Hypothesis. we take null hypothesis as the same statement given in the problem. Alternative hypothesis is the statement that is complementary to null hypothesis. When our calculated value is less than the tabulated value, we accept null hypothesis otherwise we reject null hypothesis.
When do you accept a hypothesis?
You accept an alternative hypothesis when the p-value is greater than the sample a for a confidence level of 95%. The null hypothesis cannot be accepted.
Reject or accept null hypothesis F-test?
F-test results will determine if the null hypothesis will be rejected or accepted. All test are ran with the assumption that the null hypothesis is true.
What is test statistic?
This is used in statistic to know whether to accept or reject a null hypothesis or alternative hypothesis
