Part D T or F (Please explain the reason) 1.The correlation is bounded, while th

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Part D T or F (Please explain the reason)
1.The correlation is bounded, while the covariance has no boundary for its value
2 If the correlation between X and Y is 0, then they are independent
3.MSE of an estimator is the sum of bias and variance of the estimator
4. If a 95% CI of the population mean is (11,12), then there is a probability of 95% that the true population mean is between 11 and 12 Part D T or F (Please explain the reason)
1.The correlation is bounded, while the covariance has no boundary for its value
2 If the correlation between X and Y is 0, then they are independent
3.MSE of an estimator is the sum of bias and variance of the estimator
4. If a 95% CI of the population mean is (11,12), then there is a probability of 95% that the true population mean is between 11 and 12 T or F (Please explain the reason)
1.The correlation is bounded, while the covariance has no boundary for its value
2 If the correlation between X and Y is 0, then they are independent
3.MSE of an estimator is the sum of bias and variance of the estimator
4. If a 95% CI of the population mean is (11,12), then there is a probability of 95% that the true population mean is between 11 and 12 1.The correlation is bounded, while the covariance has no boundary for its value
2 If the correlation between X and Y is 0, then they are independent
3.MSE of an estimator is the sum of bias and variance of the estimator
4. If a 95% CI of the population mean is (11,12), then there is a probability of 95% that the true population mean is between 11 and 12 1.The correlation is bounded, while the covariance has no boundary for its value
2 If the correlation between X and Y is 0, then they are independent
3.MSE of an estimator is the sum of bias and variance of the estimator
4. If a 95% CI of the population mean is (11,12), then there is a probability of 95% that the true population mean is between 11 and 12

Explanation / Answer

Que 1...Answer..>>>True

Que.2....Answer..>>>>False

Zero correlation doesn't imply independence

Que.3....Answer..>>>false

MSE is the sum of bias SQUARE & variance of the estimator

Que.4..Answer..>>>> True

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