NR44 W6 Review

What is the purpose of inferential analysis?

• To determine the probability of error

• To assess the certainty of estimates

• To determine how confident one can be that an intervention caused the outcome

• To evaluate qualitative data

In quantitative analysis, what is important to focus on?

• Qualitative data

• Probability of error and certainty of the estimates

• Subjective opinions

• Historical trends

What is the first step in the general rules of quantitative analysis?

• Run all the tests identified.

• Report all the tests that were run.

• Select tests a priori.

• Ignore the tests.

What should be done after running all the tests identified in quantitative analysis?

• Select more tests.

• Report all the tests that were run.

• Ignore the results.

• Modify the tests.

What are the two main types of tests based on assumptions of the data in quantitative analysis?

• Parametric and Nonparametric tests

• Qualitative and Quantitative tests

• Descriptive and Inferential tests

• Experimental and Observational tests

Which type of analysis involves only one variable?

• Univariate analysis

• Bivariate analysis

• Multivariate analysis

• Trivariate analysis

What type of analysis involves two variables?

• Bivariate analysis

• Univariate analysis

• Multivariate analysis

• Quadrivariate analysis

What is the primary focus of quantitative analysis?

• Goals of the analysis

• Assumptions of the data

• Number of variables

• Data collection methods

What is the purpose of inferential analysis in quantitative research?

• To describe data in detail

• To determine if a specific result can be expected to occur in a larger population

• To collect data from a small group

• To visualize data trends

What does a very small p-value indicate in statistical analysis?

• Lack of statistical significance

• High probability of error

• Statistical significance

• No relationship between variables