Hypothesis Testing Quiz

A hypothesis is:

• A proven fact

• A tentative assumption to be tested

• A statistical formula

• A mathematical model

The first step in hypothesis testing is to:

• Select the test statistic

• Formulate null and alternative hypotheses

• Determine sample size

• Calculate p-value

Type I error occurs when:

• A true null hypothesis is rejected

• A false null hypothesis is accepted

• A false null hypothesis is rejected

• A true null hypothesis is accepted

Type II error occurs when:

• A true null hypothesis is rejected

• A false null hypothesis is accepted

• A false null hypothesis is rejected

• A true null hypothesis is accepted

The probability of making a Type I error is denoted by:

• β (beta)

• α (alpha)

• p-value

• μ (mu)

The power of a statistical test is defined as:

• 1 – α

• 1 – β

• α + β

• α – β

Research design is primarily concerned with:

• Collecting data randomly

• Providing a framework for research

• Performing data analysis only

• Drawing conclusions only

An exploratory research design is generally used when:

• The problem is well-defined

• Little information is available about the problem

• Hypothesis is already tested

• Statistical tests are predetermined

A descriptive research design is most suitable for:

• Developing hypotheses only

• Understanding characteristics of a population

• Establishing cause–effect relationships

• Testing complex models

Causal research design aims to:

• Describe market characteristics

• Discover relationships between variables

• Establish cause–effect relationships

• Explore unknown phenomena only