Question 1
1.
For the interval estimation of μ when σ is known and the sample is large, the proper distribution to use is
the normal distribution
the t distribution with n degrees of freedom
the t distribution with n + 1 degrees of freedom
the t distribution with n + 2 degrees of freedom
Question 2
1.
An estimate of a population parameter that provides an interval of values believed to contain the value of the parameter is known as the
confidence level
interval estimate
parameter value
population estimate
Question 3
1.
The value added and subtracted from a point estimate in order to develop an interval estimate of the population parameter is known as the
confidence level
margin of error
parameter estimate
interval estimate
Question 4
1.
Whenever the population standard deviation is unknown and the population has a normal or near-normal distribution, which distribution is used in developing an interval estimation?
standard distribution
z distribution
alpha distribution
t distribution
Question 5
1.
The z value for a 97.8% confidence interval estimation is
2.02
1.96
2.00
2.29
Question 6
1.
The t value for a 95% confidence interval estimation with 24 degrees of freedom is
1.711
2.064
2.492
2.069
Question 7
1.
As the sample size increases, the margin of error
increases
decreases
stays the same
increases or decreases depending on the size of the mean
Question 8
1.
The ability of an interval estimate to contain the value of the population parameter is described by the
confidence level
degrees of freedom
precise value of the population mean μ
degrees of freedom minus 1
Question 9
1.
In general, higher confidence levels provide
wider confidence intervals
narrower confidence intervals
a smaller standard error
unbiased estimates
Question 10
1.
An interval estimate is a range of values used to estimate
the shape of the population's distribution
the sampling distribution
a sample statistic
a population parameter
Question 11
1.