Chapter 16 Lab 5: Fundamentals of Hypothesis Testing

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16.1 R

16.1.1 The Crump Test

16.1.1.1 Make assumptions about the distribution for your measurement

16.1.1.2 Make assumptions about N

16.1.1.3 Choose the number of simulations to run

16.1.1.4 Run the simluation

16.1.1.5 find the range

16.1.1.6 Make inferences

16.1.1.7 Planning your experiment

16.1.2 Crumping real data

16.1.2.1 Test-enhanced learning

16.1.2.2 Brief summary

16.1.2.3 Estimate the paramaters of the distribution

16.1.2.4 Findings from the original study

16.1.2.5 Run the simulation

16.1.3 The Randomization Test

16.1.3.1 Run the randomization test

16.1.3.2 Decision criteria

16.1.3.3 Finding the critical region

16.1.4 Generalization Exercise

16.1.5 Writing assignment

16.2 Excel

16.3 SPSS

16.3.1 Experiment Background

16.3.2 Calculate difference scores between pairs of measures

16.3.3 Conduct a sign test

16.3.4 Entering data for sign test problems

16.3.5 Practice Problems

16.4 JAMOVI