Interval Estimation Flashcards
The absolute value of the difference between the point estimate and the population parameter it estimates is
the sampling error
A population has a standard deviation of 50. A random sample of 100 items from this population is selected. The sample mean is determined to be 600. At 95% confidence, the margin of error is
9.8
For the interval estimation of when is known and the sample is large, the proper distribution to use is
the normal distribution
The value added and subtracted from a point estimate in order to develop an interval estimate of the population parameter is known as the
margin of error
In order to use the normal distribution for interval estimation of ‘mean’ when ‘sigma’ is known and the sample is very small, the population
must have a normal distribution
The z value for a 97.8% confidence interval estimation is
2.29
After computing a confidence interval, the user believes the results are meaningless because the width
of the interval is too large. Which one of the following is the best recommendation?
Increase the sample size.
In general, higher confidence levels provide
wider confidence intervals
A sample of 225 elements from a population with a standard deviation of 75 is selected. The sample mean is 180. The 95% confidence interval for ‘mean’ is
170.2 to 189.8
A random sample of 144 observations has a mean of 20, a median of 21, and a mode of 22. The population standard deviation is known to equal 4.8. The 95.44% confidence interval for the population mean is
19.200 to 20.800
When s is used to estimate sigma, the margin of error is computed by using
t distribution
As the number of degrees of freedom for a t distribution increases, the difference between the t distribution and the standard normal distribution
becomes smaller
In interval estimation, the t distribution is applicable only when
the sample standard deviation is used to estimate the population standard deviation
From a population that is not normally distributed and whose standard deviation is not known, a sample of 6 items is selected to develop an interval estimate for the mean of the population (‘mean’).
The sample size must be increased.
The t value for a 95% confidence interval estimation with 24 degrees of freedom is
2.064