{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

13 - understanding research results- statistical inference

13 - understanding research results- statistical inference...

Info iconThis preview shows pages 1–4. Sign up to view the full content.

View Full Document Right Arrow Icon
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 
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
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
Background image of page 2
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 
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 4
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}