Play in the use of inferential statistics

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What is chance and what role does it play in the use of inferential statistics?

2. Why is chance initially the most attractive explanation for the differences observed between two groups?

3. A researcher analyzed the results of an experiment and found that the obtained t- value ( on a t- test of independent means) was 1.29, with a total of 25 children in group 1 and 30 children in group 2. Use a table of critical values and discuss whether the null hypothesis can or cannot be rejected.

4. How can the results of a study be statistically significant but not meaningful?

5. How does the central limit theorem work and why is it so important to the use of inferential statistics??

Reference no: EM13671456

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