Hypothesis & Data Analysis Quiz

What is an alternative hypothesis?

• A statement that supports the null hypothesis in a statistical hypothesis test.

• A statement that is not related to the null hypothesis in a statistical hypothesis test.

• A statement that is only used in qualitative research and not in quantitative research.

• A statement that contradicts or negates the null hypothesis in a statistical hypothesis test.

What is the purpose of data collection in hypothesis testing?

• To confuse researchers and make the hypothesis testing process more difficult.

• To waste time and resources without any meaningful outcome.

• To collect irrelevant data that has no impact on the hypothesis testing process.

• To gather evidence and information to support or reject a hypothesis.

What are the different methods of data collection?

• field research, archival research, content analysis

• surveys, interviews, observations, experiments, and secondary data analysis

• sampling, content analysis, ethnography

• questionnaires, focus groups, case studies

What is data analysis?

• The process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.

• The process of visualizing data

• The process of designing databases

• The process of collecting and storing data

What are the steps involved in data analysis?

• Gather, Organize, Analyze, Visualize, Present

• Collect, Sort, Evaluate, Summarize, Report

• Define, Acquire, Process, Evaluate, Communicate

• Define, Collect, Clean, Analyze, Interpret, Communicate

What is the importance of experimental design in hypothesis testing?

• Experimental design only applies to qualitative research, not hypothesis testing.

• Experimental design is only important for large-scale experiments, not hypothesis testing.

• Experimental design is important in hypothesis testing because it helps ensure reliable and valid results.

• Experimental design has no impact on hypothesis testing.

What are the key components of an experimental design?

• experimental design, data collection, data analysis

• qualitative data, quantitative data, survey questions

• hypothesis, sample size, statistical analysis

• independent variable, dependent variable, control group, experimental group, and randomization

What is the difference between independent and dependent variables in an experiment?

• The independent variable is manipulated by the researcher, while the dependent variable is measured or observed in response to the changes in the independent variable.

• The dependent variable is controlled by the researcher, while the independent variable is influenced by external factors.

• The dependent variable is manipulated by the researcher, while the independent variable is measured or observed in response to the changes in the dependent variable.

• The independent variable is the outcome or result of the experiment, while the dependent variable is the factor being tested or manipulated.

What are the different types of experimental designs?

• Pre-experimental design, True experimental design, Quasi-experimental design, Non-experimental design

• Observational design

• Correlational design

• Randomized control trial design

How can you ensure the validity and reliability of your experimental results?

• Follow standardized protocols, use large sample sizes, randomize subject assignment, control for confounding variables, and conduct multiple trials.

• Follow standardized protocols, use large sample sizes, randomize subject assignment, and conduct only one trial.

• Follow standardized protocols, use small sample sizes, randomize subject assignment, and conduct multiple trials.

• Use small sample sizes, randomize subject assignment, control for confounding variables, and conduct multiple trials.