Using Statistics - inferential 4.5

# Using Statistics - inferential 4.5 - Using Statistics...

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Click to edit Master subtitle style 6/3/11 Using Statistics: Inferential Stats 4/5/2010 PSYC E226

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6/3/11 Learning Objectives Understand the use of inferential statistics Be familiar with five components of hypothesis testing Know what a significant result means Understand type I and type II errors Be familiar with three influences on significance of results
6/3/11 What are inferential statistics? What are descriptive statistics? Inferential statistics use results from samples to generalize to population l Estimate a population parameter using probability and find out how close our statistic is Parameter is for a population Statistic is for a sample l If our results are significant, it means that

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6/3/11 Sampling Error Sampling error is the naturally occurring difference between the statistic and parameter l It is the result of sampling bias, how the sample is different from the population l Any two samples – even if random – will be different from each other and from the population
6/3/11 Hypothesis Testing The hypothesis is tested to see if it is supported in the population of interest The hypothesis is compared to a null hypothesis , which is typically that there is not a relationship between the variables l Hypothesis: those who sleep less the night before the task will perform worse l Null hypothesis: people will not perform differently based on sleep

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6/3/11 Hypothesis Testing: Some terms The standard error is a measure of the average distance of the sample statistic
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Using Statistics - inferential 4.5 - Using Statistics...

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