what is the probability of a type II error when α=0.05 ?
A. 0.025
B. 0.95
C. 0.05
D. Cannot be determined without more information
Statistics Mcqs
condition for applying Central Limit Theorem (CLT) which approximate the sampling distribution of the mean with a normal distribution is ?
condition for applying Central Limit Theorem (CLT) which approximate the sampling distribution of the mean with a normal distribution is ?
A. n > 30
B. N(1 – p) > 5
C. 2 n 5
E. N < 30
For t distribution, increasing the sample size, the affect will be on ?
For t distribution, increasing the sample size, the affect will be on ?
A. Standard Error of the Means
B. The t-ratio
C. Degrees of Freedom
D. All Above
A quantity obtained by applying certain rule or formula is known as ________________?
A quantity obtained by applying certain rule or formula is known as ________________?
A. Estimate
B. Test Statistics
C. Estimation
D. Sample
E. Estimator
Analysis of Variance (ANOVA) is a test for equally of______________?
Analysis of Variance (ANOVA) is a test for equally of______________?
A. Variances
B. Proportions
C. Only two parameters
D. Means
If we reject the null hypothesis, we might be making____________?
If we reject the null hypothesis, we might be making____________?
A. Unpredictable
B. A correct Decision
C. Type-II Error
D. Type-Error
Parameter is a _________ quantity?
Parameter is a _________ quantity?
A. Constant
B. Variable
C. All of above
D. Non of these
1 – α is the probability of_____________?
1 – α is the probability of_____________?
A. Acceptance Region
B. Type-I error
C. Type-II Error
D. Rejection Region
Power of test is denoted by _______________?
Power of test is denoted by _______________?
A. β
B. α
C. (1 – α )
D. (1 – β)
The values that separate the region of rejection and acceptance region are called _______________?
The values that separate the region of rejection and acceptance region are called _______________?
A. Critical value
B. Confidence limits
C. Confidence boundaries
D. None of these