1. An investigator uses children’s WISC IQ scores as part of her study of how children respond to different teaching methods. She obtains a random sample of four children from a 5th grade class and obtains their WISC IQ scores. Their scores are shown below. Her null hypothesis is that her sample does not differ from the general population of 5th graders, whose IQ scores are assumed to have a m of 100 and a s of 15. She decides to use the known m and s, adopts an a of .05, and uses a non-directional (i.e., 2-sided) alternative hypothesis.
IQ scores: 112, 110, 123, 115
Perform the null hypothesis significance test that is appropriate for this situation. Show your work; Summarize your results and briefly state what they mean.
set up hypothesis :
Null hypothesis :
WHERE IS POPULATION MEAN .
Alternative hypothesis :
clearly sample size is 4 which is less than 30 , we should have to use t-test ( Student's t-distribution )
the observations are given as 112,110,123,115
Sample mean =
:here is output of R-software
> x=c(112, 110, 123, 115)
> x
[1] 112 110 123 115
> t.test(x,mu=100,conf.level=0.95)
One Sample t-test
data: x
t = 5.2489, df = 3, p-value = 0.01347
alternative hypothesis: true mean is not equal to 100
95 percent confidence interval:
105.9054 124.0946
sample estimates:
mean of x
115
Decision rule :
THEN WE REJECT NULL HYPOTHESIS AT \alpha =0.05
HERE 0.01347<0.05
DECISION : We can reject null hypothesis i.e accept alternative hypothesis
Conclusion : sample differ from the general population
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