1. A 95% confidence interval to estimate a populationparameter from a large samp

Question

1. A 95% confidence interval to estimate a populationparameter from a large sample is approximately four standard errorswide. True 2. For low degrees of freedom the t-distribution has lessvariance than the standard normal distribution. True 3. If the test statistic value in a Z-hypothesis test is11 then the null hypothesis would be rejected for any significancelevel of 1% or more. False 4. In a linear regression situation the intercept and theslope of the regression equation are the parameters. False 5. The point estimates that are used to estimate populationparameters are usually correct and have no mistake associated withthem. False 1. A 95% confidence interval to estimate a populationparameter from a large sample is approximately four standard errorswide. True 2. For low degrees of freedom the t-distribution has lessvariance than the standard normal distribution. True 3. If the test statistic value in a Z-hypothesis test is11 then the null hypothesis would be rejected for any significancelevel of 1% or more. False 4. In a linear regression situation the intercept and theslope of the regression equation are the parameters. False 5. The point estimates that are used to estimate populationparameters are usually correct and have no mistake associated withthem. False

Explanation / Answer

1. A 95% confidence interval to estimate a populationparameter from a large sample is approximately four standard errorswide. True 2. For low degrees of freedom the t-distribution has lessvariance than the standard normal distribution. True 3. If the test statistic value in a Z-hypothesis test is11 then the null hypothesis would be rejected for any significancelevel of 1% or more. False 4. In a linear regression situation the intercept and theslope of the regression equation are the parameters. True 5. The point estimates that are used to estimate populationparameters are usually correct and have no mistake associated withthem. False

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