Answer on Question #65199 – Math – Statistics and Probability
Question
Can you help me define null hypothesis? I have made one but I'm not sure if it correctly and completely covers all aspects of this hypothesis:
Null hypothesis is a hypothesis which states that there is no difference between an observed and a theoretical distribution or the scores of two variables. It is the statement that is tested in a test of statistical significance.
Solution
The null hypothesis is the hypothesis that the researcher is trying to disprove.
Test for comparing two means [1]
For example, the scores of two variables and are given.
Null hypothesis: (two population means are equal)
Alternative hypothesis: (two population means are not equal).
Test of homogeneity [2]
Null hypothesis: The distribution of scores is the same for variable as it is for .
Alternative hypothesis: The distribution of scores is not the same for as it is for .
Test of independence [3]
Null hypothesis: Variable and variable are independent
Alternative hypothesis: Variable and variable are not independent
References:
[1] Hypothesis Test: Difference Between Means. Retrieved from http://stattrek.com/hypothesis-test/difference-in-means.aspx?Tutorial=AP
[2] Chi-Square Test Of Homogeneity. Retrieved from https://www.sophia.org/tutorials/chi-square-test-for-homogeneity-2
[3] Chi-Square Test for Independence. Retrieved from http://stattrek.com/chi-square-test/independence.aspx?Tutorial=AP
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Comments
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Null hypothesis I think should also include that two or more distributions may not be associated, something that is dealt with homogenity.