# Hypothesis Testing

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#1
with hypothesis testing how do you know whether to accept or reject the nul hypothesis?

if testing at 5% significance level and you obtain 0.15 for example, if H1 was p> 0.55 you would reject H0 but if H1 was p<0.55, would you accept H0?
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1 year ago
#2
you calculate the test statistic using the right data and formula
then you find the value(s) at which you reject the null hypothesis with the given significance level if the test statistic is higher (than the rejection value)

if the test statistic is |z| = 0.5 and your rejection value is Z = 1.96, there's insufficient evidence to reject the null
if the test statistic is higher, there's sufficient evidence to reject
0
1 year ago
#3
compare your answer to the significance level 0.15>0.05 so therefore there isnt sufficient evidence to reject H0 (basically accept H0)
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#4
(Original post by Chakram)
compare your answer to the significance level 0.15>0.05 so therefore there isnt sufficient evidence to reject H0 (basically accept H0)
so irrespective of H1 (as in if p> and if p<), you will always have that answer if that makes sense?
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