0
What is the null hypothesis of a one-way ANOVA What is the alternate hypothesis?
Wiki User
∙ 14y ago
Null hypothesis of a one-way ANOVA is that the means are equal.
Alternate hypothesis a one-way ANOVA is that at least one of the means are different.
Wiki User
∙ 14y ago
Add your answer:
Earn +20 pts
Does rejecting null hypothesis mens accepting alternate hypothesis?
Yes, usually.
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.
The null hypothesis for an anova states that?
The null hypothesis for a 1-way ANOVA is that the means of each subset of data are the same.
What is the null hypothesis tested by an ANOVA?
ANOVA test null hypothesis is the means among two or more data sets are equal.
What is the null hypothesis of a one way ANOVA What is the alternate hypothesis?
When writing hypotheses the null hypothesis is generally the hypothesis stating that there will be no significant difference between the variables you are testing. An alternate hypothesis would be a hypothesis suggesting that the results will be anything other than not significant. For example if you were testing three concentrations (low, medium, and high) of a type of medication on cancer cells, then one example of an alternate hypothesis would be that the medium concentration would decrease the number of viable cancer cells.
Does rejecting null hypothesis mens accepting alternate hypothesis?
Yes, usually.
When does a scientist test a hypothesis?
You test a hypothesis after you form it. But lets go over the scientific method anyway. You start with a situation, then you come up with a question, then a hypothesis: there are two kinds of hypothesis, null and alternate, null means that the results dictate that the treatment shows no Significance, where alternate shows that the groups have difference, which is significance. You test the hypothesis in an experiment, and there are many different tests that you can apply to the DATA you collect.
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.
How is null hypothesis tested?
The null hypothesis is typically tested using statistical tests such as t-tests, ANOVA, or chi-square tests. These tests calculate the probability of obtaining the observed data if the null hypothesis were true. If this probability (p-value) is below a certain threshold (usually 0.05), the null hypothesis is rejected.
Difference between chi square and Anova?
ANOVA is a statistical test of whether the means of several groups are all equal. The chi-square test of association is used to test the null hypothesis that there is no association between two nominal scale variables. It does not require a distinction between independent and dependent variables.
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
