Chi square test can be performed between two qualitative variable and hence, it doesn't use atleast one quantitative variable.
Option D is correct.
Which of the following tests does not use at least one quantitative variable? independent t-test dependent...
Which of the following tests does not use at least one quantitative variable Independent T Test Dependent T Test ANOVA Chi-Square test
Which of the following tests would you conduct if one variable is ordinal and the other is an interval variable? Group of answer choices ANOVA Chi-Square independent t-test Spearman r
Which of the following is a true statement? Regression analysis and ANOVA are similar tools because they both determine if an independent variable has an effect on a quantitative dependent variable, but in ANOVA the independent variable is qualitative and in Regression analysis the independent variable in quantitative. Regression analysis and ANOVA are similar tools because they both determine if a qualitative independent variable has an effect on a quantitative dependent variable. Regression analysis and ANOVA are similar tools because...
The primary factor that determines the statistical test students should use is the number of independent and dependent variables. True or False When investigating the relationship between two or more quantitative variables, chi-square is the appropriate test.True or False The Pearson correlation coefficient measures the association between two quantitative variables, distinguishing between the independent and dependent variables.True or False Multiple regression is used when there are several dependent variables and one independent quantitative variable.True or False When testing for the...
Match each research question below with the appropriate analysis: (independent samples t-test, dependent samples t-test, one-way ANOVA, or Chi-Square analysis). 1. Do cereals with a grade of A have significantly fewer calories per serving compared to those with a grade of B? 2. Is there a significant difference in the number of grams of carbohydrates and grams of protein within specific cereals? 3. Is there a significant difference in the ratings from cereals of different manufacturing brands?? 4. Is there...
Which Test those cases should use? A: one sample z-test B: one-sample t-test C: t-test for the difference between means for two related samples D: t-test for the difference between means for two independent samples with homogeneity of variance E: t-test for the difference between means for two independent samples with heterogeneity of variance F: a one sample z-test for proportions (or a chi-square goodness of fit) G: chi-square goodness of fit only (where a one sample z-test of proportions isn’t appropriate) H: a two-sample z-test...
3. Determine whether the following sampling is dependent or independent. Indicate whether the response variable is qualitative or quantitative. A researcher wishes to compare personality types of married pharmacists and their spouses. She obtains a random sample of 187 such couples who take a personality inventory and determines each spouse's personality type. Determine whether the following sampling is dependent or independent. O A. The sampling is dependent because an individual selected for one sample does not dictate which individual is...
For the following experiment/question, pick the most appropriate statistical test. You have the following statistical tests as choices: some may be used more than once, others not at all. Assume homogeneity of variance (where applicable) and the validity of parametric tests (where applicable), unless something is directly stated (e.g., “the data are not at all normal”) or otherwise indicated (viz., by the inspection of the data) which would indicate a strong and obvious violation of an assumption. This means you must...
Interactions: a. occur when the effect of one factor on the dependent variable is independent of the level of other factors b. occur only in one-way ANOVA tests c. indicate the effect of one factor on the dependent variable is the same regardless of the level of the other factors d. indicate patterns of differences in means that could not be guessed from the main effects alone
6. The most basic statistical test that measures group difference is the T-test. 7. One-way analysis of variance (ANOVA) only determines the significance of group differences and does not identify which groups are significantly different. 8. One-way analysis of covariance (ANCOVA) is similar to ANOVA but additionally controls for a variable that may influence the DV. 9. Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. 10. Factorial analysis of...