-If P-value less then the significance level , fail to reject null hypothesis .
ID: 3153404 • Letter: #
Question
-If P-value less then the significance level , fail to reject null hypothesis .
-A Type I error is rejecting a true null hypothesis.
-The Student t distribution when is not known and either the population
is normally distributed or n > 30, conditions is satisfied.
-If we have more than 10 matched pairs of sample data, we can consider
the sample to be large and there is no need to check for normality.
-A claim that two population proportions are equal, each of the two samples must satisfy the requirement that np 5 and nq 5.
Explanation / Answer
Statement (i) is true for P-Value< significance value and fail to reject the null hypothesis
Statement (ii) is tuue for a type I error is rejecting H0 when H0 is true
Statement (iii) is False because t distribution is satisfied when n<=30 or population SD is unknown
Statement (iv) is true because if we are compared more than 10 matching data no need to check normality direcly to apply suitable test.
Statement (v) is true because if we test two population proportions are equal, then two samples must satisfy the condition np>=5 and nq>=5, the reason is that sample value is large and probability value is also large.
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