Solution:
Correct option is
Your suspicions were not correct , but the test results confirmed your suspicions.
You believe p 0.36 but in reality it is greater than 0.36
Explanation:
We know that
Type I error : Reject the null hypothesis when the null hypothesis is true.
Type II error : Fail to reject the null hypothesis , when in fact , the the null hypothesis is NOT true.
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