1. What is the first step in determining how to analyze results?

• 1. Choose participants

• 1. Determine the hypothesis

• Select statistical tests

• Design the experiment

1. Which of the following is NOT a statistical measure mentioned?

• Mean

• Median

• Mode

• Frequency

1. What should you do with the data before performing statistical tests?

• Ignore it

• Look at it and save it

• Delete outliers

• Analyze it immediately

1. What is an outlier?

• A common data point

• A data point that is significantly different from others

• A data point that is the average

• A data point that is always correct

1. Why is it important to choose the correct statistical test?

• To make the experiment easier

• To ensure the results are valid

• To impress others

• To save time

1. What can happen if an inappropriate statistical test is chosen?

• The results can be invalid

• The results will always be correct

• The experiment will be easier

• The data will be lost

1. What is the purpose of looking at a graph or histogram of results?

• To make it look nice

• To expose outliers and trends

• To confuse participants

• To summarize the data

1. What is a common assumption about data in statistical tests?

• Data is always perfect

• Data is always normal

• Data can be skewed

• Data is irrelevant

1. What is the bell-shaped graph commonly associated with?

• Linear regression

• Normal distribution

• Skewed data

• Random sampling

1. What should you do if you find an outlier in your data?

• Ignore it

• Investigate it

• Remove it immediately

• Report it as an error