Statistic
A population has a mean of 80 and a standard deviation of 7. A sample of 49 observations will be taken. The probability that the mean from that sample will be larger than 82 is _____.
0228
The number of random samples (without replacement) of size 3 that can be drawn from a population of size 5 is _____.
10
In order to estimate the average time spent on the computer terminals per student at a local university, data were collected from a sample of 81 business students over a one-week period. Assume the population standard deviation is 1.2 hours. Refer to Exhibit 8-1. The standard error of the mean is _____.
133
A simple random sample of 64 observations was taken from a large population. The population standard deviation is 120. The sample mean was determined to be 320. The standard error of the mean is _____.
15
The use of the normal probability distribution as an approximation of the sampling distribution of p̄ is based on the condition that both np and n(1 - p) equal or exceed _____.
5
A population consists of 8 items. The number of different simple random samples of size 3 (without replacement) that can be selected from this population is _____.
56
In order to estimate the average time spent on the computer terminals per student at a local university, data were collected from a sample of 81 business students over a one-week period. Assume the population standard deviation is 1.2 hours. Refer to Exhibit 8-1. If the sample mean is 9 hours, then the 95% confidence interval is approximately _____.
8.74 to 9.26 hours
A population has a mean of 84 and a standard deviation of 12. A sample of 36 observations will be taken. The probability that the sample mean will be between 80.54 and 88.9 is _____.
9511
A numerical measure from a population, such as a population mean, is called _____.
A parameter
An interval estimate is used to estimate _____.
A population parameter
Cluster sampling is _____.
A probability sampling method
A numerical measure from a sample, such as a sample mean, is known as _____.
A statistic
The probability that the interval estimation procedure will generate an interval that contains the actual value of the population parameter being estimated is the _____.
Confidence coefficient
As the sample size increases, the margin of error _____.
Decreases
The t distribution is a family of similar probability distributions, with each individual distribution depending on a parameter known as the _____.
Degrees of freedom
The expected value of x̄ equals the mean of the population from which the sample is drawn _____.
For any sample size
The sampling distribution of the sample mean _____.
Is the probability distribution showing all possible values of the sample mean
As the degrees of freedom increase, the t distribution approaches the _____ distribution.
Normal
A simple random sample of 28 observations was taken from a large population. The sample mean equaled 50. Fifty is a _____.
Point estimate
A single numerical value used as an estimate of a population parameter is known as a_____.
Point estimate
The general form of an interval estimate of a population mean or population proportion is the _____ plus or minus the _____.
Point estimate, margin of error
A subset of a population selected to represent the population is a _____.
Sample
A probability distribution for all possible values of a sample statistic is known as a _____.
Sampling distribution
The probability distribution of all possible values of the sample mean is called the ____.
Sampling distribution of the sample mean
The difference between the value of the sample statistic and the value of the corresponding population parameter is called the _____
Sampling error
The standard deviation of all possible x̄ values is called the _____.
Standard error of the mean
The standard deviation of x̄ is referred to as the _____.
Standard error of the mean
For the interval estimation of μ when σ is assumed known, the proper distribution to use is the_____.
Standard normal distribution
A probability sampling method in which we randomly select one of the first k elements and then select every kth element thereafter is _____.
Systematic sampling
The basis for using a normal probability distribution to approximate the sampling distribution of x̄ and p̄ is _____.
The central limit theorem
Stratified random sampling is a method of selecting a sample in which _____.
The population is first divided into groups, and then random samples are drawn from each group
In general, higher confidence levels provide _____.
Wider confidence intervals
In determining an interval estimate of a population mean when σ is unknown, we use a t distribution with _____ degrees of freedom.
n − 1
The purpose of statistical inference is to provide information about the _____.
population based upon information contained in the sample
The sample mean is the point estimator of _____.
μ
The sample statistic s is the point estimator of _____.
σ
