OSC 3440 Exam 1 with all Correct & 100% Verified
Answers |Latest Version |Already Graded A+
T OR F
Sampling error is the difference between a statistic computed from a sample and the
corresponding parameter computed from the population ✔Correct Answer-TRUE
The general format for a confidence interval is ✔Correct Answer-point estimate ± (critical
value)(standard error)
If a decision maker wishes to reduce the margin of error associated with a confidence interval
estimate for a population mean, she can: ✔Correct Answer-Increase the sample size
T OR F
Confidence intervals constructed with small samples tend to have greater margins of error than
those constructed from larger samples, all else being constant. ✔Correct Answer-True
T OR F
In a one-tailed hypothesis test, the larger the significance level, the greater the critical value will
be. ✔Correct Answer-False
T OR F
When using a 95 percent confidence interval for a mean, the area in the upper tail of the
distribution that is outside the interval is 5 percent. ✔Correct Answer-False
When σ is unknown, the margin of error is computed by using: ✔Correct Answer-T-
distribution
In developing a confidence interval estimate for the population mean, which of the following is
true? ✔Correct Answer-- If the population standard deviation is unknown, the appropriate
critical value should be obtained from the t-distribution.
- The confidence interval developed from a smaller sample size will have a larger margin of error
than one obtained using a larger sample size, all other things being equal.
- The larger the sample standard deviation, the wider will be the interval estimate, all other
things being equal.
If the Type I error (α) for a given test is to be decreased, then for a fixed sample size n:
✔Correct Answer-The Type II error (β) will increase
Answers |Latest Version |Already Graded A+
T OR F
Sampling error is the difference between a statistic computed from a sample and the
corresponding parameter computed from the population ✔Correct Answer-TRUE
The general format for a confidence interval is ✔Correct Answer-point estimate ± (critical
value)(standard error)
If a decision maker wishes to reduce the margin of error associated with a confidence interval
estimate for a population mean, she can: ✔Correct Answer-Increase the sample size
T OR F
Confidence intervals constructed with small samples tend to have greater margins of error than
those constructed from larger samples, all else being constant. ✔Correct Answer-True
T OR F
In a one-tailed hypothesis test, the larger the significance level, the greater the critical value will
be. ✔Correct Answer-False
T OR F
When using a 95 percent confidence interval for a mean, the area in the upper tail of the
distribution that is outside the interval is 5 percent. ✔Correct Answer-False
When σ is unknown, the margin of error is computed by using: ✔Correct Answer-T-
distribution
In developing a confidence interval estimate for the population mean, which of the following is
true? ✔Correct Answer-- If the population standard deviation is unknown, the appropriate
critical value should be obtained from the t-distribution.
- The confidence interval developed from a smaller sample size will have a larger margin of error
than one obtained using a larger sample size, all other things being equal.
- The larger the sample standard deviation, the wider will be the interval estimate, all other
things being equal.
If the Type I error (α) for a given test is to be decreased, then for a fixed sample size n:
✔Correct Answer-The Type II error (β) will increase
