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The level of significance is usually set at 90%, 95% or 99%. the probability of a Type II error. the probability of a Type I
The level of significance is
usually set at 90%, 95% or 99%. | |
the probability of a Type II error. | |
the probability of a Type I error. | |
denoted by |
Which of the following is NOT an assumption of the regression models?
The mean of the probability distribution of the error terms should be zero. | |
The variance of the the probability distribution of the error terms is constant. | |
The error terms should be normally distributed | |
The error terms are dependent |
According to the central limit theorem
The standard deviation of the sample mean is equal to the population standard deviation. | |
The sample mean is equal to the population mean | |
The probability distribution of the sample mean is normal if sample size is large enough. | |
The probability distribution of the sample mean is unknow regardless of the sample size |
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