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Explain what is meant by null hypothesis?
The null hypothesis is an hypothesis about some population parameter. The goal of hypothesis testing is to check the viability of the null hypothesis in the light of experimental data. Based on the data, the null hypothesis either will or will not be rejected as a viable possibility.
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
When you accept the Null Hypothesis you are certain that the Null Hypothesis is correct?
No, you are never certain.
What is a null hypothesis?
The null hypothesis is the statement that there is no relationship between two observations.
What is another name for the probability of observing a sample value at least as extreme as a given on under a null hypothesis?
The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis.
Explain null hypothesis versus alternative hypothesis?
The null hypothesis is that there is no change in the population mean while the alternative hypothesis is that there is a change in the mean. The null hypothesis is stated as Ho:Mu=? in statistics while the alternative hypothesis is stated as Ho:Mu(<,>,≠)? depending on whether you are looking for mu to be greater, less than, or not equal to population mean.
What Interpretation of p value statistics?
p value are used when comparing the likelihood of a stated [null] hypothesis being true against a stated alternative. It is a measure of the probability with which an observation which is at least as extreme as that observed will occur even though the null hypothesis is true.
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 the null hypothesis is greater than 0.005?
Then the null hypothesis is greater than 0.005! So what?Then the null hypothesis is greater than 0.005! So what?Then the null hypothesis is greater than 0.005! So what?Then the null hypothesis is greater than 0.005! So what?
Explain what is meant by null hypothesis?
The null hypothesis is an hypothesis about some population parameter. The goal of hypothesis testing is to check the viability of the null hypothesis in the light of experimental data. Based on the data, the null hypothesis either will or will not be rejected as a viable possibility.
If we reject the null hypothesis what can we conclude about the alpha risk?
If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.
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
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
When you accept the Null Hypothesis you are certain that the Null Hypothesis is correct?
No, you are never certain.
What is a null hypothesis?
The null hypothesis is the statement that there is no relationship between two observations.
What is another name for the probability of observing a sample value at least as extreme as a given on under a null hypothesis?
The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis. The significance level of the observation - under the null hypothesis.
