What are the effects of the iron triangle and how does it work? What is a correlational study? What is kung fu? What is qualitative and quantitative research? What is a binomial? What are the null and alternative hypotheses in the chi-square or Lilliefors test for normality? Where is the...
Under what conditions should you use the Chi-Square test for independence? Under what conditions should you use the chi-square test of independence? For either chi-square test, \Sigma(f_e) = n. True False (a) What does a significant one-way chi square indicate? (b) What does a signif...
Effect Size: Cramer’s V or Phi coefficient is often used as a measure of effect size for chi-square tests, indicating the strength of association between variables. Non-parametric Test: The chi-square test is a non-parametric test, meaning it doesn’t make assumptions about the underlying ...
R-squared measures the goodness of fit but does not provide insights into prediction accuracy. Adjusted R-squared: It adjusts the R-squared value by the number of predictors in the model, accounting for model complexity. It penalizes overfitting and provides a more reliable measure of the model...
Tensile Strain: Occurs when a material elongates. It's a measure of the stretching of the material. Compressive Strain: Occurs when a material is compressed or shortened. Shear Strain: Occurs when the material is subjected to forces in opposite directions, causing it to shear or slide. This ...
In the Chi-square test, when comparing the expected probability (which is calculated from the sample) with the sample measure, why does it suffice to draw conclusions about the population rather than just the sample? I have one last question. In your opinion, if someone performed a Kruskal ...
The difference between the Chi-square test of homogeneity and the Chi-square test of independence lie in the manner in which the study has been designed. The Chi-square test of homogeneity compares the distribution of a single variable in two o...
Answer to: Give an example of a useful Chi-Square-of-Fit Test. What problems might there be in getting the data for the test? How would you deal...
A chi-square statistic is used to measure the difference between the observed and expected frequencies of the outcomes of a set of variables. It can be helpful for analyzing differences in categorical variables, especially those nominal in nature. The two different types of chi-square tests—test...
The t-test is just one of many tests used for this purpose. Others may be more appropriate depending on the number of variables or the size of the sample. For example, statisticians use az-testfor data sets with a large sample size. Other testing options include the chi-square test and...