In reference to the Inferential Statistics, which of the following is NOT correct? |
A statistical hypothesis is a statement about the population parameter which may be true or false. The standard deviation of the sampling distribution of a statistics is known as its standard error. If sufficiently large random samples with replacement are drawn from a population, then the sampling distribution of the sample means approaches a binomial distribution. In a statistical hypothesis testing, a Type-l error is made when null hypothesis is rejected when it is true. |
If sufficiently large random samples with replacement are drawn from a population, then the sampling distribution of the sample means approaches a binomial distribution. |
The correct answer is Option (3) → If sufficiently large random samples with replacement are drawn from a population, then the sampling distribution of the sample means approaches a binomial distribution. The statement that is NOT correct is: "If sufficiently large random samples with replacement are drawn from a population, then the sampling distribution of the sample means approaches a binomial distribution." Correct concept: The sampling distribution of the sample mean approaches a normal distribution (Central Limit Theorem), not a binomial distribution. |