13 - understanding research results- statistical inference

13 understanding - Samples and Populations 04:14 Inferential statistics are necessary because the results of a given study are based on data

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Samples and Populations 04:14 Inferential statistics are necessary because the results of a given study are based  on data obtained from a single sample of research participants  Inferential statistics: Used to determine whether we can make statements that the  results reflect what would happen if we were to conduct the experiment again and  again with multiple samples  Inferential statistics allow us to arrive at conclusions on the basis of sample data 
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Inferential Statistics 04:14 Inferential statistics allow researchers to make inferences about the true  differences in the population on the basis of the sample data  Gives the probability that the difference between means reflects random error  rather than a real difference
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Null and Research Hypothesis 04:14 Null hypothesis: The population means are equal; the observed difference is due  to random error; the independent variable had no effect Research hypothesis: The population means are not equal; the independent  variable did have an effect  If we can determine that the null hypothesis is incorrect, then we accept the  research hypothesis as correct  Means that the independent variable had an effect on the dependent variable 
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This note was uploaded on 11/16/2010 for the course EDHD 460 taught by Professor Staff during the Spring '08 term at Maryland.

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13 understanding - Samples and Populations 04:14 Inferential statistics are necessary because the results of a given study are based on data

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