Question 1

The purpose behind the statistical technique is irrelevant in statistical inference.

Accepted Answer

The purpose behind the statistical technique is crucial in statistical inference as it guides the choice of methods and interpretations of results to address specific research questions or hypotheses.

Question 2

Which of the following are factors that determine which statistical technique should be used?

Accepted Answer

Both the type of data being measured and the purpose of the statistical inference are important in determining the appropriate statistical technique. Different types of data (e.g. categorical vs continuous) require different types of analysis, and the purpose of the analysis (e.g. inference about a population parameter vs comparison of groups) may also influence the choice of technique.

Question 3

Which of the following are involved in statistical inference?

Accepted Answer

All of these choices are involved in statistical inference. The process of statistical inference involves calculating relevant statistics, determining when to apply a statistical technique, and understanding why statistical methods are used.

Question 4

Which of the following best describes numerical statistical variables?

Accepted Answer

The answer of Which of the following best describes numerical...

Question 5

The how, when and why of statistical inference puts the problem into context.

Accepted Answer

The how, when and why of statistical inference provides the necessary background information to understand and apply statistical methods appropriately. It helps to clarify the problem, the relevant data, and the appropriate statistical techniques to use.

Question 6

The objective of statistical inference is to use a sample statistic to draw conclusions about a population parameter of interest.

Accepted Answer

This is the definition of statistical inference.

Question 7

The type of data being measured is one of the first key factors of determining the statistical methods that should be used.

Accepted Answer

The type of data (such as numerical, nominal, ordinal, etc.) plays a crucial role in selecting appropriate statistical methods for analysis.

Question 8

Which of the following are the two most important types of data?

Accepted Answer

Numerical data, which includes continuous and discrete data, is important for conducting statistical analyses and making quantitative comparisons. Nominal data, which includes categorical data, is important for organizing and classifying information into meaningful groups. Therefore, both types of data are important for different purposes and should be considered in any data analysis.

Deck 9: Statistical Inference: Introduction