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Impact of Sample Size on Hypothesis Testing by asregb16 is a document available to read on EtoBox.
What is Impact of Sample Size on Hypothesis Testing about?
The document discusses testing the null hypothesis H0: µ<=10 against the alternative Ha: µ>10 at a significance level of α=0.05. It explains that if a sample size of n=40 does not lead to the rejection of H0, a larger sample size (n>40) could result in rejection due to a decrease in the standard error of the sample mean, making it a more precise estimate. Thus, a sample mean greater than 10 is more likely to lead to rejection of the null hypothesis with a larger sample size.
- Author
- asregb16
- Language
- EN