Hypothesis Testing

What is hypothesis testing?

• A method used to predict future outcomes

• A method used to analyze qualitative data

• A method used to collect data for research purposes

• A method used to determine if there is enough evidence in a sample data to draw conclusions about a population

Why is hypothesis testing important?

• Provides evidence-based conclusions

• Predicts future trends

• Helps in data collection

• Supports qualitative analysis

What does the null hypothesis represent?

• The default assumption stating that there is no significant effect or relationship in the data

• The conclusion of the hypothesis testing

• The alternative assumption stating a specific effect or relationship in the data

• The data collection process

What is the alternative hypothesis?

• Contradicts the null hypothesis and proposes a specific effect or relationship that researchers want to investigate

• Is not relevant in hypothesis testing

• Supports the null hypothesis

• Is the same as the null hypothesis

What are the steps in hypothesis testing?

• Compute test statistic, set significance level, formulate hypotheses, draw conclusions

• Formulate hypotheses, set significance level, collect and analyze data, compute test statistic, make a decision, draw conclusions

• Collect data, make a decision, draw conclusions, formulate hypotheses

• Analyze data, set significance level, formulate hypotheses, draw conclusions

In the example provided, what is the null hypothesis?

• 𝜇=80

• 𝜇≠80

• 𝜇<80

• 𝜇=78

In the example provided, what is the alternative hypothesis?

• 𝜇>80

• 𝜇=78

• 𝜇≠80

• 𝜇=80

Why is the Z-statistic used in the example?

• Because it is a two-tailed test

• Because it is a one-tailed test

• Because the sample size is more than 30

• Because it is the critical value

At a 95% confidence level, what decision was made in the example provided?

• The machine is working properly

• There is enough evidence that the machine is not working properly

• There is not enough evidence that the machine is not working properly

• The machine is working at maximum efficiency

What is the purpose of hypothesis testing?

• To make objective conclusions based on empirical data

• To predict future outcomes

• To analyze qualitative data

• To collect data for research purposes