Which of the following statements are true ? (i) The probability of making I-type error (alpha) in…
The probability of committing a Type I error (alpha) is the level of significance (i is true), and the standard deviation of the sampling distribution of the mean is the…
Choose your answer
Which of the following statements are true ?
(i) The probability of making I-type error (alpha) in hypothesis testing is referred to as the level of significance.
(ii) When the calculated value of x2 is more than the table value of x2 at given degrees of freedom and level of significance, the null hypothesis is accepted.
(iii) Standard deviation of sampling distribution of mean is called standard error.
(iv) For one tailed test, the critical value of Z at 5% level of significance is 1.96.
Answer and explanation
Correct answer C
The probability of committing a Type I error (alpha) is the level of significance (i is true), and the standard deviation of the sampling distribution of the mean is the standard error (iii is true). Statement (ii) is false because H0 is rejected when calculated Chi-square exceeds the critical value, and (iv) is false because the one-tailed Z critical value at 5% is 1.645 (not 1.96). Thus, '(i) and (iii)' are true.
Practice for these exams
-
UGC NET Management