Sign Test

The video tutorial explains the sign test, a simple non-parametric statistical test used to determine differences in repeated measures design with nominal data. It involves counting positive and negative signs to assess changes in attitudes, such as those towards the death penalty after watching 'The Green Mile'. The tutorial covers hypothesis formulation, data collection, and calculation of the sign test. It also discusses determining statistical significance by comparing calculated values to critical values. The sign test can be used with ordinal data, offering an alternative to the Wilcoxon Test.

What type of data is the sign test used with?

• Nominal data

• Continuous data

• Interval data

• Ratio data

In the example study, what sign is assigned to a change from being against to for the death penalty?

• Positive sign

• Negative sign

• No sign

• Neutral sign

How is the statistical significance of the sign test result determined?

• By finding the median of the data

• By using a t-test

• By calculating the mean of the data

• By comparing the calculated value to a critical value

What must the calculated value be in relation to the critical value for the result to be significant?

• Greater than the critical value

• Equal to the critical value

• Less than or equal to the critical value

• Not related to the critical value

Which test can the sign test be used instead of when dealing with ordinal data?

• ANOVA

• Chi-square Test

• Wilcoxon Test

• T-test