Question

True or False

6. T F The confidence interval for the average of a number of future observations at a given value of the independent variable increases as the number of those future observations increases.

7. T F When you can accept a relatively large error in not rejecting a true hypothesis, you make the desirable condition the alternative hypothesis

8. T F The experimenter cannot control the independent variable at all times.

9. T F Decreasing the standard deviation will widen a confidence interval

10. T F Regression analysis depends on minimizing the sum of the squares of the

Answer 1

6) False

As the number of observation increase, the confidence interval becomes narrower and precise

7) False, this is you are committing a type I error

8) False,

The control variable strongly influences experimental results, and it is held constant during the experiment in order to test the relative relationship of the dependent and independent variables.

The independent variable in an experiment is the variable whose value the scientist systematically changes in order to see what effect the changes have.

9) False

Decreasing the standard deviation will make the confidence interval narrow. as the margin of error is directly proportional to standard deviation.

10) True

least squares regression is a statistical method of analysis that estimates the relationship between one or more independent variables and a dependent variable; the method estimates the relationship by minimizing the sum of the squares in the difference between the observed and predicted values of the dependent variable configured as a straight line