----> 1- When it is not necessary to use Levene\'s test? A- When you have equal
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Question
----> 1- When it is not necessary to use Levene's test? A- When you have equal group sizes. B- When you have unequal group sizes. C-When you have a small sample. D- When you are conducting a two-tailed test.
----> 2- When we talk about the assumption of normality, what do we mean? A-Observed scores must be normally distributed. B- The sampling distribution of the parameter estimate must be normally distributed. C- The Kolmogorov-Smirnov test must be significant. D- Residuals should not have a funnel shape.
----> 3- A confidence interval (and p-value) associated with a parameter (e.g., the mean, or a b in regression) assumes: A- The sampling distribution of the parameter estimate is normal. B- The data are normally distributed. C- The residuals are normally distributed. D- The data have heterogeneity of variance.
----> 4 - Levene's test can be used to measure: A- Whether group variances differ. B- Whether scores are normally distributed. C- Whether scores are independent. D-Whether group means are equal.
----> 5- To get a sample of a certain size, scores are taken one-by-one from the observed data and each time replaced. The parameter of interest (e.g., the mean or b in regression) is computed within the sample. This process is repeated numerous times. The resulting parameter estimates are used to compute a confidence interval. The process I am describing is: A- The standard error. B- Sampling. C- Bootstrapping. D-Significance testing
Explanation / Answer
1 ) A- When you have equal group sizes.
2 ) A-Observed scores must be normally distributed.
3 ) B- The data are normally distributed.
4 ) A- Whether group variances differ.
5 ) C- Bootstrapping.
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