square test वाक्य
उदाहरण वाक्य
मोबाइल
- Several one-meter-square test pits dug on the west side of the island in 1997 yielded pottery and stone tools.
- One could apply Pearson's chi-square test of whether the population distribution is a Poisson distribution with expected value 3.3.
- Goodness of fit of this model can be tested in a number of ways including using the chi square test.
- Just as the Wilson interval mirrors Pearson's chi-squared test, the Wilson interval with continuity correction mirrors the equivalent Yates'chi-squared test.
- The F test and chi square tests are both adversely affected by non-normality and are not recommended for this purpose.
- Just as the Wilson interval mirrors Pearson's chi-squared test, the Wilson interval with continuity correction mirrors the equivalent Yates'chi-squared test.
- The chi-square test article does not explain these points . talk ) 15 : 47, 12 March 2008 ( UTC)
- For samples of a reasonable size, the " G "-test and the chi-squared test will lead to the same conclusions.
- The chi-squared test is based on asymptotic approximation, so the p-value should be regarded with caution for small sample sizes.
- The p-value for the significance of " V " is the same one that is calculated using the Pearson's chi-squared test.
- On the other hand, in 1934, Fisher announced the chi-square test, which is very popular at present, for the first time.
- However, the approximation to the theoretical chi-squared distribution for the " G "-test is better than for the Pearson's chi-squared test.
- This GWAS meta-analysis revealed through a chi-square test that rs46522 on the UBE2Z gene was significantly related to chronic kidney disease.
- The four-mile square test site is in the Florida City area, near the tip of the Florida peninsula and Everglades National Park.
- A simple example of the occasion for this concept may be seen by observing that Pearson's chi-squared test is an approximate test.
- For example, very large samples make the Chi-squared test overly sensitive and more likely to indicate a lack of model-data fit .)
- It is a chi-squared test : the test statistic is distributed " n " ? 2 with " k " degrees of freedom.
- My exercise involves normal probability distribution and chi-square test, but I hadn't read up on either of them when I submitted the idea.
- The chi squared test requires known standard deviations which are seldom available, and failed tests give no indication of how to improve the model
- When calculating a chi-square test what are the steps between calculating the differences between the expected and observed values and obtaining the chi-square value?
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