Statistical Tests and Data Types

The video tutorial provides an overview of choosing the correct statistical test by considering data types, sample sizes, and analysis purposes. It explains nominal and interval/ratio data, discusses sample considerations, and outlines the purpose of analysis. The video includes examples of seven statistical tests, such as tests for means, proportions, and relationships, to help viewers understand how to select the appropriate test for their data.

Why is it important to choose the correct statistical test?

• To make data collection easier

• To avoid using statistical software

• To save time during research

• To ensure accurate data analysis

Which of the following is NOT one of the seven statistical tests mentioned?

• Chi-squared test for independence

• Test for a mean

• ANOVA

• Regression analysis

What is the first question to ask when choosing a statistical test?

• What is the research hypothesis?

• What is the data collection method?

• What is the level of measurement?

• What is the sample size?

Nominal data is also known as:

• Quantitative data

• Continuous data

• Interval data

• Categorical data

Which type of data is summarized as frequencies, proportions, or percentages?

• Interval data

• Nominal data

• Ordinal data

• Ratio data

Interval/ratio data is commonly summarized using:

• Range

• Median

• Mean

• Mode

How many samples are involved if you are comparing two different groups?

• Four

• Two

• One

• Three

What is the purpose of analysis if you are looking for a relationship between two variables?

• Comparing two statistics

• Descriptive analysis

• Finding a relationship

• Testing against a hypothesized value

Which test would you use if you summarize data in a table?

• T-test

• Chi-square test for independence

• Regression analysis

• ANOVA

In the example of sufficient nuts, what type of data was collected?

• Qualitative data

• Nominal data

• Ordinal data

• Interval/ratio data