The sample size needed to estimate a population mean to within 1 unit with 90 confidence given that ...

The sample size needed to estimate a population mean to within 1 unit with 90 confidence given that the population standard deviation is 10 is 17.
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Q. 2

Multicollinearity will result in excessively low standard errors of the parameter estimates reported in the regression output.
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Q. 3

The sample size needed to estimate the population mean was found to be 865 . If the value of the population standard deviation was 75, and the maximum allowable error was 5, then the confidence level used was 95.
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Q. 4

The parameter estimates are biased when multicollinearity is present in a multiple regression equation.
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Q. 5

To estimate with 95 confidence the mean of a normal population whose standard deviation is assumed to be 4 and the maximum allowable sampling error is assumed to be 1, requires a random sample of size 62.
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Q. 6

One of the consequences of multicollinearity in multiple regression is inflated standard errors in some or all of the estimated slope coefficients.
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